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Thinking for a Living
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HD 8039 .K59
D38 2005
How to Get
Better
Performance and Results from
Knowledge Workers
v€lw
Thomas
H.
0enter
ubr2ry
Davenport
Harvard Business School Press Boston, Massachusetts
Copyright 2005 Thomas H. Davenport All rights reserved
Printed in the United States of America
09 08 07 06 05
5 4 3 2
1
No part of this publication may be
reproduced, stored in or introduced into a retrieval
system, or transmitted, in any form, or by any
means
(electronic, mechanical,
photo-
copying, recording, or otherwise), without the prior permission of the publisher.
Requests for permission should be directed to [email protected], or
mailed to Permissions, Harvard Business School Publishing, 60 Harvard Way, Boston, Massachusetts 02163.
Library of Congress Cataloging-in-Publication Data
Davenport,
Thomas
H.,
1954-
Thinking for a living workers p.
/
:
how
to get better
performance and
results
from knowledge
Thomas H. Davenport, cm.
Includes index.
ISBN 1-59139-423-6 1.
Knowledge workers.
2.
Knowledge management.
3. Intellectual capital.
I.
Title.
HD8039.K59D38 2005 658.3—dc22 2005002390
The paper used
in this publication
meets the
National Standard for Information Sciences Materials,
ANSI Z39.48-1992.
minimum
requirements of the American
—Permanence of Paper
for Printed Library
Contents
Preface
and Acknowledgments
1
What’s a Knowledge Worker, Anyway?
2
How Knowledge Workers Differ, and the Difference
3
It
1
25
Makes
Interventions, Measures, in
vii
and Experiments
39
Knowledge Work
4
Knowledge Work Processes
61
5
Organizational Technology for Knowledge Workers
85
6
Developing Individual Knowledge Worker Capabilities
7
Investing in
8
The
Knowledge Workers’ Networks and Learning
Physical
Work Environment and
1 1
141
165
Knowledge Worker Performance 9
Managing Knowledge Workers
187
Notes
211
Index
217
About
the Author
227
and Acknowledgments
Preface
I’ve
been planning
this
intellectual interests
areas in
which
1980s
late
I
I’ve
book
for a long time,
and background.
done
By 1993 or so
I
it
goes deeply into
at the intersection
a lot of work: processes
started to research the
ness processes.
It’s
and
of two
and knowledge. In the
improvement and management of busi-
had
knowledge-
realized that to address
intensive processes required a different set of approaches than
companies were using Then, around 1994,
management. For
for process reengineering
started researching
1
several years
I
and writing about knowledge
argued that knowledge management
attention to the process side of this
Because
I
knew that I would
a series of studies involving
combo
knowledge workers and
I’d like to
didn’t pay
I
until the late 1990s.
eventually write this book,
hoped would become key building blocks or involved collaborators, and
most
and improvement.
ought to involve “people, process, and technology,” but
much
my
their
chapters.
thank them
I
now
undertook
work
that
Most of
I
these
for their help
with these research projects and the ideas that resulted from them. The first
was undertaken with Sirkka Jarvenpaa of the University of Texas
and Mike
Beers, then of Ernst
Management Review cesses,” I
article called
Young.
It
resulted in a 1996 Sloan
“Improving Knowledge Work Pro-
and many of its concepts can be found
became the Director of the Accenture
Change that
&
in 1998,
made
their
and
way
I
worked with
into this
book
in chapters 2
4.
Institute for Strategic
several colleagues there in
and
on
projects
some form. The matrix of four
Vlll
Preface
and Acknowledgments
knowledge work types that edge management that
I
use here
worked on
I
Donoghue. Then Bob Thomas, Sue project
we
of this book. Sue and
on
is
on knowl-
a bit with Jeanne Harris
and
Cantrell,
I
also
It
led to
I
and Leigh
collaborated
on
most of the ideas
in chapter 8
this research
networks of high-performing
formed the
basis of chapter 7.
the result of an attempt at coauthoring an article with
Chap-
Warren
Bennis on the management and leadership of knowledge workers. never really emerged as a coauthored piece, but ideas
Warren and I had discussed
celebration
While
and
still
at
a
worked with Rob Cross of the University of
a project assessing the social
knowledge workers; ter 9
a project
“The Art of Work: Improving the Performance of
called
High-End Knowledge Workers.”
Virginia
came from
tium of IT firms
I
was able
Hewlett-Packard,
working with
Work
started the ball rolling,
Intel,
1
a consor-
Productivity Council
and Accenture, Cisco,
SAP, and Xerox also got behind
Accenture for Babson in 2003,
to use the
volume.
to begin
called the Information
(IWPC). Microsoft
was happy
as the basis for a talk at his Festschrift
a chapter in his Festschrift
Accenture,
I
It
it.
When
I
left
became the Academic Director of this
consortium, and also led a particular research project on “Personal Information and Knowledge Management” that became the core of chapter 6.
On the IWPC project worked closely with Susan Conway of MicroI
soft,
Dan Holtshouse of Xerox, Mary Lee Kennedy
(then of Microsoft),
and Carla O’Dell of the American Productivity and Quality Center. Since to this
cess
coming
to Babson, I’ve
book within
the
two programs, so
managers who joined
a couple of projects related
Working Knowledge Research Center and the Pro-
Management Research
these
worked on
I
me
Center. There are about forty sponsors of
can’t
name them
in exploring issues
all.
But I’m grateful to the
around “High-Performing
Knowledge Worker Environments” and “Managing Knowledge-Intensive Processes.”
Brad Power, the Executive Director of the Process Manage-
ment program, gave me much
useful feedback
on
my ideas, and
Larry
IX
Preface
and Acknowledgments
Prusak, codirector of the Working Knowledge program, has been a
source of insights, inspirations, and lively gossip for I
and
make my living writing the book
this
is
no exception.
donated their experiences for are
many
Adams I’ve
at
stories of
BT, and Luke
had
more than
a great relationship
a decade,
and
thank
me to package up
I still
all
are
Health Care, Kevin
both typical and exemplary.
with Harvard Business School Press for think they are the classiest act
business publishers. Melinda Merino was a great editor to stimulate
more and
formal comments.
mous
I
who
the managers
into these pages. There
at Partners
Koons of Intel
a decade.
adventurous businesspeople,
I’d like to
of them, but John Glaser
more than
who
among
never failed
better authorial thinking with her informal
also got very helpful
reviewers, although
I
house and Sue Cantrell, so
and
comments from four anony-
deduced that two of them were Dan HoltsI
can thank them by name.
I’d also like to
thank Hollis Heimbouch for long-lasting support, Monica Jainschigg for skilled
copy editing, Marcy Barnes-Henrie for seeing
this
book
through production, and Zeenat Potia and her team for an appealing cover design.
My
reader, friend,
without
her.
and
lover.
I
someday
book
My wonderful sons Hayes and Chase remain largely obliv-
they’ll
I
write
them
write.
in part
because
my favorite
be proud of them. Bucky,
died during the creation of this book, and I
as agent, adviser,
couldn’t have written this or any other
ious to their dad’s books, but
feet as
my work
wife Jodi continues to help with
I
will
I
hope
dog of
miss having
all
him
that
time, at
my
t
1
What’s a Knowledge Worker, Anyway?
Robin
out of control. She’s the head of press and analyst relations
feels
for a large professional services firm. Eight people report to her,
them knowledge workers. Some
Her job
these external audiences
is
—even
of
deal with particular types of press re-
lationships, others with technology industry analysts.
relationships herself.
all
to
She manages some
improve her company’s image with
to her, a
somewhat vague and
difficult-
to-measure mission.
Only half of the people on her
New
staff are
York, and only one of the four in
They’re
all
pretty independent in their
most of them very
The team used restrictions feels that
often. Several of
with her
New
at
York are on her
work habits, and she
much
floor.
doesn’t see
them frequently work from home.
to try to get together monthly, but the
on
headquarters in
travel budgets, so they can’t
of the time she doesn’t
that
anymore. Robin
exactly
what her people
do
know
company has put
are doing. Sure, she hears about meetings they’re having in their weekly
conference
call,
but what are they doing when they’re not having a few
— 2
Thinking for a Living
meetings? She thinks she trusts them, but always has nagging doubts
about
how hard and how effectively they’re working. some measures
She’s put
such as numbers of
in place for her group,
media mentions or favorable ratings
But when
in analysts’ reports.
things don’t go well, her people always have a ready explanation
“One of our
strongest thought leaders
left
the practice,” or “That ana-
has always had a grudge against us.” But
lyst
how else can
she assess the
And
strength of such intangible qualities as “relationships” or “image”? in
many
people are right
cases, her
—they have
closer relationships
with the reporters, editors, and analysts they deal with than Robin does. She
knows
the business well from having
done
it
but she
herself,
day and
also realizes that the job varies a lot
from day
pendent on interpersonal
a result, she’s reluctant to criticize
what seems
like
factors.
As
poor performance too
to
directly; she can’t afford to lose
the relationships and insights her people have built
Some
highly de-
is
up over
time.
of her analysts are definitely more productive than others,
however. One, for example, generates twice the press coverage and
meets with twice as
Other analysts
many industry analysts as anyone else
in the
it’s
something
— “The than mine do” — but Robin
group discount her performance
lines she represents just
thinks
in the group.
have more to say
this analyst does.
Robin has
service
tried to figure out the
secret to her success, but has never directly discussed
it
with her. She’s
afraid that the high-performing analyst will ask for a raise
she ad-
if
dresses her sterling performance too directly.
Robin
is
always trying to think of ways to get
members, but
rarely convinced she’s
is
week’s conference to
call,
communicate her
analysts. She’s sure that
mind her through told
is
that she
vocal team
already overloaded;
In fact, the situation
by her boss
announce an
new marketing campaign
some of her more
that “the channel
it.”
found the answer.
for example, she plans to
firm’s
more out of her team
may
is
we
On
this
initiative
to the press
members can’t
and
will re-
push more
worse than they suspect;
she’s
been
have to lay off one employee due to a
3
What’s a Knowledge Worker, Anyway?
budget cut for next
year.
Everyone
will
have to do more with
everyone needs to be more productive. But Robin finds
imagine
how
and who know
sees,
she decides to just ship with
—
more
she can get
it’s
results
from people
less;
difficult to
it
whom
she rarely
their jobs better than she does. In the short run,
call a
reporter she’s been trying to build a relation-
do her own knowledge work than
easier to
to
improve
that of others.
Like Robin, you and
—and most of our
We
knowledge workers.
are
us
I
all
friends
and colleagues
think for a living. Like Robin,
manage other knowledge workers. We’re
all
many
of
doing our work the best
we can
—or
results
from knowledge workers? Most of us have never even analyzed
our us
Can we,
are we?
like
Robin, figure out a way to get better
own performance, or had much
more productive and
doing our jobs
—and
effective.
help from our employers in making
We want to become more efficient at
to help others
do so
as well
—but we
know how. We know more about our own work than one in
else,
so
it’s
like to
we
fact that
are
—and
be told what to do. We’ve never thought
knowledge workers, or about the implica-
how we carry out and improve our daily activities.
tions of that fact for
What difference does it make that we are knowledge workers? not a
about any-
hard for a manager to improve our performance
any case we don’t
about the
just
just don’t
It’s
certainly
—think — why
new thing. This category of work has existed for centuries
about medieval monks, or the write about
nothing
workers
them now?
else they’re
—probably
Well, as
first I’ll
professors at universities
argue a
little later
so
in this chapter, if
important because they are a large category of
larger than ever before as a percentage of the
work-
force in sophisticated economies.
But regardless of the
size
of this category of workers,
it’s
a very
im-
portant one. Knowledge workers are responsible for sparking innova-
your organization. They invent your new products
tion
and growth
and
services, design
gies. In
in
your marketing programs, and create your
the current economy, they are the horses that pull the
strate-
plow of
4
Thinking for a Living
economic progress.
If
our companies are going to be more profitable,
our strategies are going to be successful,
come more advanced work
in a
—
it
will
if
our society
is
if
going to be-
be because knowledge workers did their
more productive and
effective
manner.
The Growing Importance of Knowledge Workers Of
course, the rise of knowledge
years. Automation in factories
work has been foreseen
and farms more than
most of the workforce from having
freed
Over the
last half-century,
on
take action
it.
a century ago
perform physical
labor.
the advent of computers and the pervasive
presence of information created a
duce the information
to
many
for
demand
for
workers
in the first place, extract
The economist
Fritz
who
could pro-
meaning from
Machlup did much of the
spadework on knowledge and knowledge work
and
it,
roles; as early as
early
1958
he stated that knowledge workers comprised almost a third of the U.S. workforce, and that the knowledge work sector was growing twice as fast as
the rest of the economy.
2
In the early twenty-first century,
likely that a quarter to a half
it’s
of
workers in advanced economies are knowledge workers whose pri-
mary (see
knowledge and information
tasks involve the manipulation of
“How Many
Are There?”). Even
if
they’re not a majority of
workers, they have the most influence on their economies.
They
all
are
paid the most, they add the most economic value, and they are the greatest determinant of the a high proportion of
intensive States
—
worth of their companies. Companies with
knowledge workers
are the fastest-growing
—
let’s call
and most
them knowledge-
successful in the United
and other leading economies, and have generated most of these
economies’ growth in the past couple of decades. The market value of
many
knowledge-intensive companies
—which includes
the market’s
perception of the value of knowledge and knowledge workers their
book
values,
which includes only tangible
assets
—dwarfs
(and the ratio of
5
What’s a Knowledge Worker, Anyway?
market
to
book value
in U.S.
companies has doubled over the past
twenty years, suggesting a great acceleration of knowledge asset value).
Even
in so-called “industrial”
companies, knowledge
used to differentiate physical goods and to product-related services. As James Brian
is
increasingly
fuel diversification into
Quinn has pointed
out, high
proportions of workers in manufacturing firms (roughly 90 percent in
semiconductors, for example) never touch the manufacturing process,
but instead provide knowledge-based services such as marketing, tribution, or
customer
service.
dis-
3
already apparent that the firms with the highest degree and
It’s
quality of
knowledge work tend
profitable. Microsoft, for example,
to be the fastest-growing is
and most
one of the most profitable organi-
zations in the history of the planet. Pharmaceutical firms not only pro-
duce sophisticated and life-saving drug treatments, they also tend to have high profit margins. Growth industries generally tend to be those with a high proportion of knowledge workers.
How Many Are There?
G just
iven
the imprecise
definitions in the world of
knowledge work and knowledge workers,
how many there
knowledge workers
are in
in
it’s
impossible to specify
any particular country. But there are many
advanced economies such
as the
United States
minimum they comprise a quarter of the U.S. workforce, and at maximum about half. and Europe, no matter how they
The
U.S.
Bureau of Labor
workers, but
what I
it
are defined. At a
Statistics
(BLS) doesn’t
classify
knowledge
puts U.S. workers into categories that can be (some-
arbitrarily, to
be sure) defined as either knowledge workers or not.
would put the following categories
into the
knowledge worker camp:
6
Thinking for a Living
•
Management
•
Business and financial operations
•
Computer and mathematical
•
Architecture and engineering
•
Life, physical,
•
Legal
•
Healthcare practitioners
•
Community and
•
Education, training, and library
•
Arts, design, entertainment, sports,
The in the
and
social scientists
social services
media
above yields about 36 million knowledge workers
classification
United States alone, or 28 percent of the labor
classification
scheme
force.
While no
perfect (for example, professional athletes are
is
included in the knowledge worker group, because the U.S. govern-
ment
data lumps
workers),
it’s
them
clear that
Using somewhat
in with arts, design, entertainment,
most people
less
and media
in these jobs think for a living.
conservative classification criteria than
(they include clerical workers, for example), Rubin and
mine
Huber con-
cluded that there were about 45 million knowledge workers in 1980.
Perhaps the simplest measure fessional,
is
the
a
BLS category of “managerial, pro-
and technical” workers, which was about 34 percent of the
workforce in 2003. Another approach to determining the number of
knowledge workers focuses on the percentage of the workforce that actually possesses the skills to
do knowledge work.
A
U.S.
Department
of Education report suggests that about 25 percent of U.S. workers
have the ability to process complex or moderately complex information in mathematical or verbal form,
Using yet another
set
(every approach has
its
and turn
it
into knowledge.
of criteria to define “information workers” peculiarities
—
in this case, for
example, the
category includes 50 percent of “hucksters”), Marc Porat calculated in
1977 that these workers comprised about half of the workforce, and that their total at
compensation passed that of non-information workers
about that time.
b
7
What’s a Knowledge Worker, Anyway?
Countries other than the United States, of course, have different definitions of
knowledge workers and
different
numbers, although
they are in the same ballpark. Statistics Canada, for example, defines
knowledge workers nical occupations,
as including
management,
and concludes
that these
and tech-
professional,
comprised 25 percent of
the Canadian workforce in 2001 (up from 14 percent in
study of over 28 million jobs in the United
is
some evidence
also
to be important States, for
from
that
a purely
knowledge workers
—
d
will
continue
example, the BLS projects that ten specific occupations will
registered nurses,
engineers
that 32
numerical standpoint. In the United
be the fastest-growing in the current decade. At ten
A
c
97 1 ).
Kingdom found
percent were knowledge-based, requiring a college degree.
There
1
—
computer support
are pretty clearly
least three
specialists,
of these
and IT software
knowledge workers, and they
all fall
into
the top half of hourly earnings in the U.S. economy. This suggests that the quarter-to-a-third proportion of knowledge workers in sophisti-
cated economies will persist or
a.
Michael R. Rubin and Mary
T.
grow over
time.
Huber, The Knowledge Industry
in the
United States
(Princeton, NJ: Princeton University Press, 1986). b.
Marc
Porat,
The Information Economy: Definition and Measurement,
Department of Commerce, 1977), 104-134. Baldwin and Desmond Beckstead, “Knowledge Workers
OT Special Publi-
cation 77-12(1) (U.S. c.
John R.
1971-2001,” Statistics Canada Analytical Paper, catalogue
in
Canada’s Economy,
number 11-624-MIE
—No. 004,
October 2003. d.
The U.K. data
are reported in Phillip
ment of Talent (Oxford: Oxford University
Brown and Anthony Hesketh, The Mismanage-
Press, 2004).
Within organizations, knowledge workers tend
to
be closely aligned
with the organizations growth prospects. Knowledge workers in man-
agement
roles
come up with new strategies. Knowledge workers
and engineering
create
ing package products
new
and
in
R&D
products. Knowledge workers in market-
services in
ways that appeal to customers.
Without knowledge workers there would be no new products and vices,
and no growth.
ser-
8
Thinking for a Living
Knowledge Workers and the World Economy
P
who was
eter Drucker,
the
first
person to describe knowledge
workers to any substantial degree (in his 1959 book Landmarks of
Tomorrow ),
said as far
back
as
1969
that:
To make knowledge work productive
will
be the great management
make manual work productive was
task of this century, just as to
3
the great
management
Then
1997 Drucker went even further out along the knowledge
in
task of the last century.
worker limb:
The productivity of knowledge and knowledge workers the only competitive factor in the world economy. likely to
become
the decisive factor, at least for
the developed countries.
Why
did Drucker
will
It is,
most
not be
however,
industries in
1"
—and why should we—
believe that
knowledge
workers and their productivity were so important to the world econ-
omy? There
are a variety of reasons. First, they are a large
category of workers.
If
we
quarter of the labor force
can’t figure out
more
a
economic
to the
and other groups, they haven’t
We know
little
knowledge workers’ performance, which less
make more than
knowledge workers
success of countries, companies,
no
to
productive, we’re going to have prob-
Yet despite the importance of
ceived sufficient attention.
how
and growing
is
about
how
to
re-
improve
very unfortunate, because
an authority than Peter Drucker has said that improving
knowledge worker performance
is
the
most important economic
issue
of the age (see “Knowledge Workers and the World Economy”). So
chosen to write
this
I’ve
book about how we can make knowledge workers
more productive and
effective at their jobs.
9
What's a Knowledge Worker, Anyway?
lems with our economy overall. Second, they are the most expensive type of worker that organizations employ, so
it’s
doubly shameful
if
they’re not as productive as they could be.
Third, they are key to the growth of
many economies.
Agricultural
and manufacturing work have generally become commoditized, and are
moving
est cost.
to the
economies where they can be performed
The only forms of agricultural or economies are those
in sophisticated
edge has been injected
—
in
industrial
work
that survive
which the
manufactur-
and pesticides
fertilizer
administered to a given crop are carefully monitored using
and manufacturing
vices in tractors. If agriculture
countries with low labor costs (China
low-
which a high degree of knowl-
for example, in biotechnology
ing, or in “precision farming,” in
at the
is
a particularly
are
GPS
de-
moving
to
good example),
the jobs that remain in the so-called knowledge-based economies are particularly critical to these countries’
exactly
what workers
are going to vices),
but
do
it is
in the
United
b.
States,
survival.
It’s
not clear
Western Europe, and Japan
for a living in the future (other than provide local serclear that if these
many of the workers must be a.
economic
economies are to prosper, the jobs of
particularly knowledge-intensive.
Peter Drucker, The Age of Discontinuity Peter Drucker,
(New York: Harper & Row,
1969).
“The Future That Has Already Happened,” Harvard Business Review
(September-October 1997): 21.
I
have arrived
fifteen years I’ve
at the topic
from two
different directions. For
about
been doing research on business processes and
they can be improved
4 .
I’ve
come
to the conclusion that the
how
most im-
portant processes for organizations today involve knowledge work. In the past, these haven’t really been the focus of
most organizations
improving administrative and operational processes has been
easier
but they must be in the future. The other starting point has been
knowledge management
3 .
I’ve
worked with or studied many organiza-
tions that have built systems to capture
and
store knowledge, but the
10
Thinking for a Living
real
key to effective use of knowledge
is
to
knowledge workers. That, of course, leads
knowledge work can lead
Over written
to better
embed
topic,
performance and
and created or participated
panies or groups of knowledge workers.
focused on
how
into the
work of
to a broader interest in
in six studies
Some
how
results.
from what
several years I’ve gathered information
on the
it
little
is
of com-
of the studies were
to use technology to better the lot of the
knowledge
worker; others were focused on improving knowledge work processes or understanding the effect of the physical workplace on knowledge
work. Across these studies
companies and more than I’ve also
I’ve
six
analyzed or surveyed over a hundred
hundred individual knowledge workers.
gathered together a large
number of case
of organizations that are addressing this In this
book
I’ll
treat the issue
studies
and examples
issue.
of improving knowledge worker per-
formance from a wide variety of perspectives
—organizational
and
managerial, process, information technology, and even the physical
workplace. lection of
I
believe
it’s
by
far the broadest,
most comprehensive
knowledge on the topic of knowledge work and
ment. That’s not to say that there aren’t be written on
it
—and read—over
the
many other books
coming years. To use
its
col-
improve-
that
need to
a well-worn
but apt phrase, I’m just scratching the surface.
What What
is
a
Is
a Knowledge Worker?
knowledge worker?
in the following
I’ve
defined them for well over a decade
way:
Knowledge workers have high degrees of expertise, education, or experience, and the primary purpose of their jobs involves the creation, distribution, or application of knowledge.
Knowledge workers think heavy
lifting
on the job
is
for a living.
intellectual,
They
live
by
their wits
—any
not physical. They solve prob-
11
What's a Knowledge Worker, Anyway?
lems, they understand
and meet the needs of customers, they make de-
and they collaborate and communicate with other people
cisions,
own work.
the course of doing their It’s
easy to point to examples of knowledge workers: physicians and
physicists, scientists
and
sci-fi writers,
work
in knowledge-intensive industries
— managers of any company
knowledge workers, applying knowledge
are
and airplane de-
airplane pilots
We know them when we see them. They don’t necessarily have
signers.
to
in
best interests of their enterprises. Even the
make
to
most
decisions in the
industrial
company
has engineers, researchers, marketers, and planners. Knowledge work-
work
ers
in small start-ups
and
large global corporations. Outside of
work, they reside in tony, cool areas of wealthy suburbs; some have
work
For
virtually.
you deal with
in
many
moved
cities
and
in middle-class or
and do
to resort locations
their
of you reading this book, virtually everyone
your job and your
social life
could be another knowl-
edge worker.
What’s are not
difficult
is
pointing to people
who
clearly
number of jobs time. Even
if
by (London
I
it’s
probably also true that the
requiring no knowledge whatsoever has decreased over
drive a taxi,
I
need some geographical knowledge to get
taxi drivers, in particular,
have to possess “The Knowl-
edge” of its streets before getting their licenses). Even
movie
ity to
theater,
recognize
I
if
I
take tickets at
need both customer service knowledge and the
when someone’s
trying to sneak
need some knowledge of soil conditions and dirt
definitively
knowledge workers. Most jobs require some degree of knowl-
edge to perform them successfully, and
a
and
in.
abil-
Even ditch diggers
how to
lift
shovels
full
without hurting their backs. I’m sympathetic to the idea that
creasing
numbers of workers need knowledge
ever, that doesn’t necessarily
to
do
their jobs.
on the job
in-
How-
make them knowledge workers.
Definitions of knowledge workers that incorporate anyone uses knowledge
of
who
are also not very helpful. Peter Drucker, for
example, has defined a knowledge worker as “someone
about his or her job than anyone
who knows more
else in the organization.”
Drucker was
12
Thinking for a Living
knowledge work
certainly prescient about the fact that
more important, and stand their
own jobs
that taxi drivers, as
he’s right that
is
knowledge workers often under-
better than others. But this definition also
movie
knowledge workers
there
becoming
is
means
and ditch diggers could qualify
ticket takers,
to Drucker; his definition also implies that
only one knowledge worker per job per organization. By
definition, these types of workers don’t fully qualify as
knowledge
workers because creating, distributing, or applying knowledge the primary purpose of their jobs.
They only think
my
isn’t
for a small part of
their living.
Whether someone
is
a
knowledge worker or not
sometimes
a matter of degree
knowledge
in their jobs
tise,
and
interpretation.
is
admittedly
Many
people use
and have some degree of education or exper-
but for knowledge workers the role of knowledge must be central
to the job,
and they must be highly educated or
data or information alone
knowledge worker,
isn’t
enough
—
it
expert.
would be
Working with
difficult to
be a
for example, without having a college degree (col-
lege dropouts Bill Gates
and Michael Dell notwithstanding).
Despite a few necessary shadings in the definition of knowledge workers, tiveness
it’s
clear that organizational success
depends on the innova-
and productivity of these workers within
their organizations.
However, along with adding value, knowledge workers also pose challenges to conventional
management wisdom and organizing
princi-
ples:
they are mobile and concerned that their experiences position
them
well for future opportunities; they are dispersed across the orga-
nizational structure plexity of their
and the globe,
work
requires
yet the interdependence
them
to collaborate effectively with
others in different functions, physical locations, time zones, organizations; they
must command
a
be constantly updated; and their work
and com-
body of knowledge is
and even
that needs to
inherently emergent
—the im-
portant problems they solve and opportunities they capitalize on are novel and rarely,
if ever,
standard to the point that the work can be-
13
What’s a Knowledge Worker, Anyway?
come
routine. In short,
knowledge workers are
critical to
the success of
almost any organization, but they present unique challenges as well.
Knowledge Workers as a Just
how unique
might argue
knowledge workers present? Some
are the challenges
— and
at least
one person has
and knowledge work should be managed
work .
.
is.
—
knowledge workers
that
in the
same way
that other
This person recently wrote:
the old dichotomy between
.
Class
workers
is
not very meaningful
manual workers and knowledge .
.
.
fewer and fewer workers
perform routine tasks that do not draw upon accumulated
knowledge and
expertise.
To paraphrase Richard Nixon, “We
knowledge workers now.”
are
all
He
argues instead that knowledge workers should be treated like
any other workers
in business processes,
and
that process
approaches apply just as well to knowledge workers I
won’t mention that person’s
because a
I
want
to use
him
management guru, and
to have
worked with him
as
a
name
as to
I
have a
lot
to follow
it.
an example to prove that
knowledge worker par
closely for several years.
Like
many knowledge
had an employer. He
He was
picky, quirky,
every time
I
he’s
wrong. He’s
excellence.
I
happen
While he argues that just like
improved by handing him a process
a very high degree of independence sibly
else.
anyone
of experience with this fellow’s work habits, and they
certainly couldn’t be
him
anyone
or cite the source of the quote,
knowledge workers’ work processes can be addressed else’s,
improvement
map and
telling
workers, this gent worked with
and autonomy
resisted schedules
—even when he
osten-
and often missed deadlines.
and cantankerous much of the time. Virtually
met with him, the
first fifteen
be about gossip or politics or books
minutes of discussion had to
—anything but the
task at hand.
Thinking for a Living
Yet
high
when he
finally
—sometimes
produced, the quality of his work was usually very
brilliant.
puts were sufficiently important that criticizing his
productive.
most matters
workers being an exception)
I
participation
him
him by
that they could be
made more
(the proper treatment of
knowledge
had considerable respect
and dealing with him was generally worth the quite ironic for
and out-
couldn’t risk alienating
I
work habits, or suggesting
On
work
Certainly his
to argue that
for his intellect,
trouble.
However,
it’s
knowledge workers are no different
from manual, administrative, or production workers, because he em-
make them
bodies everything about knowledge workers that
and
difficult to
manage.
example
If this
isn’t sufficient,
throughout the
and occasionally through the book,
ter
what
I’ll
of this
first
chap-
how knowledge
argue that they don’t
work
to do, that the flow of their
rest
describe
I’ll
workers are different from other workers. to be told
different
is
like
difficult to structure
work best when working with other people
and
predict, that they
cial
networks, and that they are better led by example than by explicit
in so-
management. It’s
some other
certainly true that
types of workers
—
say,
produc-
tion workers in a manufacturing plant, or a checker in a grocery store
chain
—share some of
these attributes to
some
degree. Virtually
no
one, for example, likes to be told what to do. Every day, however, pro-
duction and
retail
workers are told precisely what to do (“Tighten those
bolts with twenty foot-pounds of torque, not ten”;
“You can take your
break as soon as you change the register tape”), and their managers
and companies generally plicit
get
away with
it.
If
managers gave similar ex-
instructions to their knowledge workers (“Sharpen your pencil
before you start that financial plan”), however,
it’s
employees would stay with the company for long. they tolerated being job their
full
difference in
managed
commitment and autonomy
is
this way,
it’s
intellectual
unlikely that their If
by some chance
unlikely that they’d give the
horsepower. This substantial
only one of the key attributes of knowledge
15
What's a Knowledge Worker, Anyway?
workers, but by
itself
it’s
enough
to justify treating
them
as a separate
of workers deserving the separate approaches to performance im-
class
provement and management that I’m putting forth
in this
book.
Common Attributes of Knowledge Work and Knowledge Workers The
fact that
knowledge workers primarily
rely
on
their brains rather
than on their bodies in their jobs means that they have some attributes in
common. These
and they
aren’t terribly surprising,
all
follow from a
few basic principles and observations, but they need to be derive
haps
from the
fact that
less structurable,
knowledge work
less structured,
is
defined; areas
life is less
linear; inputs
and information
where making
is less
sense, interpreting,
meaning and knowledge
ison to
is
its
The
are at a
—
are, rather,
and understanding
areas where, above
premium
are
all,
6 .
predecessor forms of toil.
basic principles
edge workers
is
and observations
like
autonomy.
follow.
One important
that they don’t like to be told
what
aspect of knowl-
to do.
Thinking for
engenders thinking for oneself. Knowledge workers are paid
for their education, experience,
and
expertise, so
that they often take offense
when someone
their intellectual territory.
Of
their
These
are less well
an excellent characterization of knowledge work in compar-
Knowledge workers
a living
and per-
this distinction:
and outputs
“targeted.”
both problematic and highly valued
This
Most
than administrative or production work. As
John Seely Brown and Paul Duguid have described In such areas,
stated.
work
to be ignored,
it
is
else rides
not surprising
roughshod over
course, knowledge workers don’t like
and there are some things they
like to
be
16
Thinking for a Living
told,
and
such as the broader significance and implications of their tasks
jobs.
This
autonomy
edge work. Since
word
in part a natural result of the nature of
its difficult to tell
tually thinking at
take their
is
it.
The outputs of knowledge work
to specify in great detail, so that
Autonomy for the
is
whether knowledge workers are ac-
also
is
generally
left
up
to the workers.
ability to
And with
manage
why they worked hard
tailed processes they follow in
need to get done and when
comes
and schedules.
If a
like
autonomy
a greater
doing their work.
Tell
as to the de-
them what they
needs to be finished, and they
it
stances in which they think best.
They
details.
will, if
they
They know the circum-
also like to decide their
computer programmer
most productive working from
would
and grad-
which knowledge workers
in
would
have their preference, figure out the
is
re-
oneself.
prefer autonomy. In particular, they
he
Some
autonomy on
in college
increased education presumably
There are several different domains
locations
exchange
fair
training they have received.
search has suggested that scientists and engineers view the job as the major reason
have to
are also difficult
viewed by knowledge workers as a
amount of education and
uate school.
much
any given moment, supervisors pretty
for
knowl-
tells
own work
the boss that
smart boss
8 p.m. to 4 a.m., a
try to facilitate that arrangement.
For the most part, knowledge workers have gotten the autonomy they want. Since they
and knowledge
—
it
own
their
would be
means of production
—
their brains
difficult for organizations to
deny them
that
autonomy. Professional associations of knowledge workers have
also
sometimes
resisted attempts to apply too
much
control in the
workplace. For example, the American Medical Association has often struggled in the courts with hospitals over physician and medical staff
autonomy. There has also generally been
knowledge workers, so they have been able
autonomy
if
necessary.
a
to
good labor market
for
change jobs to find more
17
What’s a Knowledge Worker, Anyway?
However, because knowledge workers prefer autonomy doesn’t mean they should always be given the tion throughout this book,
maximum amount of
some
As
I
men-
will
improve knowledge worker
efforts to
performance
may
involve removing
edge worker.
Still,
organizations must be careful
some
it.
discretion
from the knowl-
when implementing
any new process or technology that significantly reduces the autonomy of their knowledge workers.
Specifying the detailed steps is less
valuable
corollary of
and more
series
down
The
is
a
to
improve performance we begin by
the structure of the task into
idea
is
processes can be
that
However,
resist
if
not be-
knowledge work
and measured, and unnecessary
this
approach often doesn’t work
very well for knowledge work and workers. In
edge workers will often
constituent elements.
into piece-parts,
easily followed
steps eliminated altogether.
its
Frederick Taylor’s day,
at least since
when broken
more
like to see
of boxes and arrows.
when we want
This has been the case fore.
than for other types of work. This
be told what to do, and they also don’t
like to
reduced to a
Typically,
breaking
difficult
my first generalization about knowledge work. Knowledge
workers don’t their jobs
and flow of knowledge-intensive processes
my experience,
knowl-
describing the steps they follow to carry
out an assignment. The more complex and knowledge-intensive the
work, the more
likely this will
tions that describing the typical flow of work
work
Even process,
if
you can
it
may
get a
impossible.
same
may be
difficult to describe
knowledge worker
Knowledge
I
talk to
among
or model.
to describe his or her First,
the
work
work flow
to another worker’s description of the suppos-
process. Second, the steps
cient: “First I
this
not be a very helpful description.
may not be very similar
Then
is
also often involves a high degree of iterative collaboration
knowledge workers, and
edly
many varia-
be true. Perhaps there are so
come up with an
idea.
my lab partner about
may seem maddeningly
Then
it.
I
think about
Then I think about
it
ineffi-
for a while.
the reactions
18
Thinking for a Living
me.” Such a process would be anathema to a stopwatch-
she’s given
packing Taylorist, but
it’s
how knowledge
often
those involved in knowledge creation activities
So does
this
mean
that
we have
to give
workers
—work.
—
up on taking
a process per-
on improving knowledge work? No. Despite the
spective
from analyzing process workflows
particularly
in detail, there are
lack of value
plenty of
still
other process tools available to potential improvers of knowledge
work.
I
will describe these in chapter 4.
eralization
I’ll
make about
“You can observe a right
—
is
you have
the next gen-
type of work.
by watching .” Lawrence Peter Berra had
that
if
you
to observe
can’t get
it
them
to describe their
how knowledge workers do
—
is
often an effective
—
it
knowledge
work
in detail. Systematic observation
“shadowing” or “ethnography”
stand
is
a natural follow-on to the previous attribute of
workers
as
lot
this
One, however,
in detail,
also
way
known
to under-
their work.
Observation can be undertaken through a variety of means. The
most or
common
is
to have
an observer “shadow” or follow around one
more knowledge workers.
ticipate in the
work process
It’s
—
also possible to have the observer par-
called “participant observation.”
server can obviously learn a great deal about the
work by doing
participation can also increase trust levels. Finally, takes place through videotaping
though
this
approach
is
and
later analysis
is
standing knowledge work. One, since thinking out” with knowledge workers as they do their server a better sense of what
comments, the
firsthand,
is
jokes,
and use them
and may lead
to
and
some observation
of the work process,
really
well suited to underis
invisible,
work
“hanging
will give the
and the complaints of knowledge workers
to piece together a story of the work.
more
ob-
going on. The observer can hear the
spending time with knowledge workers increases their trust server,
it,
hardly conducive to trust.
There are several reasons why observation
casual
The ob-
Two,
in the
ob-
disclosure about the nature of their work.
19
What’s a Knowledge Worker, Anyway?
But
this
approach to understanding knowledge work has significant
drawbacks. Paying for a
human
observer
is
expensive,
and
it
may
re-
quire substantial time for an observer to gain the trust of knowledge
workers and
fully
understand their work. Nevertheless, without obser-
vation, its unlikely that the
Of
work can be
penetrated.
course, there are also ethical considerations to observation.
group of knowledge workers shouldn’t be observed unless
and intentions of the observation
jectives
that
to help
the ob-
are fully disclosed. I’ve
knowledge workers are usually quite willing
cuss their
all
to
them, but nothing makes them clam up
found
welcome and
work with an observer if they feel the observation faster
is
A
dis-
intended
than a suspicion
that the observation will have negative consequences.
Knowledge workers usually have good reasons for doing what they In the days of business process reengineering, analysts could quickly figure out better fact,
often true.
Nobody had
we assumed
do.
that smart
ways of doing work. This was,
ever thought about
in
many administrative and
operational processes before, and improvements were easily identified. It’s
not so easy with knowledge work, which
we have
to observe
it
closely.
one of the reasons why
Knowledge workers have
about
why and how they do
many
of the obvious improvements to
their
work, and it.
improvements
typically
thought
may have themselves made There
behind almost everything they undertake (or tionalization). If
is
at
is
probably a reason
minimum
are going to be identified,
a logical rait’s
probably
who
only after serious and deep study. Julian Orr, an anthropologist
has studied technical service representatives, argues that analysts of
such work are rarely sufficiently “concerned with work practice
do not focus on what
is
done
in
accomplishing a given job .”
So for knowledge work, we need to take workers
more
importantly, their deed.
chatting with other workers
is
.
.
.
they
7
at their
word
—or
We must be careful before assuming that wasted time, or that time spent cogitating
can be eliminated without consequences.
It’s
usually safer to assume
20
Thinking for a Living
that
work
is
done
way
a certain
good reason than
for
to
assume
can
it
be quickly and easily changed.
Commitment
job with one’s body even to the job.
But
when
knowledge work.
It’s
a
unlikely that
performance out of a knowledge worker
if
he or she
mentally and emotionally committed to the job.
This fact has a
number of ramifications. Chief among them
knowledge workers need some say
do
one could do
the brain and heart weren’t committed
this isn’t the case for
you’ll get great isn’t
In the industrial economy,
matters.
it.
There
is
in
mous 3M approach
This factor
else.
is
like
being told what to
behind, for example, the
is
important to the com-
pany. Obviously knowledge workers are generally willing to things that others ask (or even
tell)
them
to do,
do some
but a degree of volun-
lot.
Another factor affecting commitment process.”
fa-
of giving researchers 15 percent of their time to
work independently on something they think
tarism helps a
that
what they work on and how they
nothing that limits commitment
work on by someone
is
is
a perception of “fair
As the strategy academics Chan Kim and Renee Mauborgne
have pointed out, workers
— and
particularly
knowledge workers
care not only about the fairness of outcomes, but also about the fair-
ness of the process used to arrive at outcomes: Fair process turns out to be a powerful
companies struggling
to
make
management
tool for
the transition from a produc-
tion-based to a knowledge-based economy, in which value creation depends increasingly
on
ideas
and innovation.
Fair
process profoundly influences attitudes and behaviors critical to high performance.
If
It
builds trust
and unlocks
ideas.
8
high levels of commitment are going to be maintained, managers
of people
who
think for a living need to acknowledge the fact that
workers can sometimes think better than their bosses. The manager or
21
What's a Knowledge Worker, Anyway?
may
executive
have a better grasp of the strategy or the big picture of
may know
the business, but the knowledge worker
her
much
field
better.
Having
a
manager pretend
the details of his or to
know
can be very damaging to an experts commitment and
Knowledge workers value
Knowledge
means of
trade, the
would have
,
their production.
It’s
—
it’s
it easily.
the tool of their
therefore natural that they
difficulty relinquishing or sharing
own jobs might be
loyalty.
knowledge and don’t share
knowledge workers have
that
is all
their
everything
it
in
such a way that their
threatened.
In the early days of
knowledge management, when companies were
beginning to talk about sharing knowledge within and across organizations,
I
used to
mentioned
that,
Companies
just
“Sharing knowledge
say,
“Of
needed
act.”
committed every
to put the necessary incentives
also
I
day.”
and assurances
people were willing to share their knowledge.
anything, a knowledge worker’s concerns about sharing have be-
come even more fears
an unnatural
course, unnatural acts are
in place to ensure that If
is
of
layoffs,
few years. In addition to the usual
justified in the last
some
clueless
companies have been asking
their
ers to train their offshore successors before they lose their jobs.
every knowledge worker the next to
move
is
wondering whether
to India or China.
It’s
work-
Almost
his or her job could
enough
to give
be
anyone pause
about contributing knowledge to some other worker or a knowledge repository. Again, this doesn’t
and processes
We
just
it
that
we
such a way that knowledge
can’t design organizations
will
flow across organizations.
have to acknowledge that knowledge workers will view their
knowledge share
in
mean
as a highly valuable asset,
and
that they will be reluctant to
without rewards and/or guarantees of continued employment.
There are other precedents for years companies have tried to
this
make
problem
in organizations.
For
the customer information of their
salespeople an organizational, rather than an individual, asset. Sales forces have
worked just
as diligently to
withhold what they
know about
22
Thinking for a Living
their customers, often resisting
management” systems
adding
it
“customer relationship
to the
their organizations have
implemented.
Many
organizations have added policies and procedures that reassure the sales force that they’ll
still
own
the customer information
and knowl-
edge while they work for the company. Smart organizations will put
knowledge
similar approaches in place for the
assets of their
knowl-
edge workers.
Implications of These Attributes The implication of these “managed”
attributes
knowledge workers
that
is
be herded.
9
Some
be
word. As Warren Bennis has
in the traditional sense of the
pointed out, they bear a peculiar resemblance to can’t
can’t
cats,
which
as
we know
of the attributes of knowledge workers sound
like T. S. Eliot’s descriptions
of the contrary
cat,
the
Rum Turn Tugger:
For he will do
As he do
And
do,
there's
When you
no doing anything about
let
him
He's always in the
For he only
The
Rum
likes
in,
.
then he wants out, ,
.
what he finds for himself ,
Turn Tugger
is
this
artful
.
.
.
and knowing
10 .
.
.
type of individual can only be led, not
aged, by visionary, inspirational leaders spect in their organizations. This
tise
.
wrong side of the door
Bennis argues that
some
it!
is
man-
who build trust and mutual re-
no doubt the
and
case,
I
discuss
aspects of this leadership in chapter 9 (no doubt with less exper-
and grace than Bennis would). But visionary leaders are often
are other ways in
in short supply,
which we can intervene
in
and
I
believe there
—and improve—knowl-
23
What’s a Knowledge Worker, Anyway?
edge work. As with any other type of work, there are
many
potential
avenues to betterment. In addition to better leadership and manage-
ment, in people
this
who
book
I
describe at least five other approaches to helping
think for a living.
What’s Coming Thus
far I’ve
chapter
described what knowledge workers are,
and some of the things they have
portant,
I’ll
Book
in This
how
describe
they
differ.
in
Both the
why
common.
they’re
im-
In the next
similarities
and
ences form an important set of baseline factors to consider
differ-
when
at-
tempting to improve knowledge work. That subject
—improvement
forms the basis for the other chapters. In chapter
3, I’ll
improvement or interventions
subject of
tervening in the
mon
first
place,
how
mistakes that organizations
subsequent chapter
I’ll
to
—the
case for in-
measure improvement, and com-
make
in their interventions. In each
describe a particular approach to intervening in
and improving knowledge work. Chapter 4
and measurement. Chapter tions as a
in general
describe the
talks
about the roles of process
5 describes technology provided
by organiza-
means of improving knowledge work, while chapter 6
on technology, information, and knowledge management sonal
level.
Chapter 7 describes the
social
focuses
at the per-
networks of high-performing
knowledge workers. Chapter 8 describes the physical workspace
knowledge work. Chapter 9 focuses on how
to
be an
effective
for
manager
of knowledge work and workers.
At the end of each chapter subject treated for
and
results
summary
I
will
point out the implications of the
managers wishing
to extract better
performance
from knowledge workers. These sections provide
a quick
of the recommendations in the chapter, but of course they
don’t provide the context, the examples, and deeper analysis.
24 Thinking for a Living
Recommendations for Getting Results from Knowledge Workers •
All jobs involve
knowledge
to
some
degree, but knowledge
workers are those whose jobs are particularly knowledgeoriented.
The recommendations
in this
book apply to those
expert workers in jobs whose primary purpose distribute, or apply
•
•
to create,
knowledge.
Knowledge workers their
is
differ
from other kinds of workers
autonomy, motivations, and
attitudes.
Knowledge workers enjoy their autonomy, so be
careful
about improvement approaches that impinge upon although sometimes •
this
may be
it
necessary.
Knowledge work tends
to
detailed flow of work
sometimes
is
in
be unstructured. Specifying a possible, but
is
probably
not the best way to improve a knowledge work process. •
Knowledge work often needs and
•
at
some length before
Knowledge workers
it
to be observed in
•
are usually intelligent, so be careful
thing to
is
work process can be improved upon
Commitment
detail
can be truly understood.
about assuming that a particular work task or that a
some
unnecessary, easily.
matters to knowledge work. Don’t do any-
damage
the knowledge worker’s
the job and to the organization.
commitment
to
2
How Knowledge Workers
Differ,
Difference
As
I
all
knowledge workers
stated in chapter
1,
It
despite having a aren’t alike.
A
and the Makes
number of traits
in
common,
computer programmer and
a
physician, for example, are both knowledge workers, but they have very
backgrounds, working conditions, business
different
educational
processes,
and measures of effectiveness and
proach to classifying knowledge workers
mine how
best to manage, measure,
classification serves a useful
purpose
success. Therefore,
may help
organizations deter-
and improve if it
an ap-
passes
their work. This
two
tests. First, it
should be easy to apply; putting any given type of worker into one of the classes should not require great tions.
amounts of work or mental gyra-
Second, the classification should be useful in improving the per-
formance of knowledge workers when some intervention Otherwise, the distinction makes no difference.
is
attempted.
26 Thinking for a Living
Among
Distinguishing
Workers One important purpose is
to
make
Your Organization
for distinguishing
improve
that organizations can’t
They have
in
Kinds of Knowledge
all
among knowledge workers
knowledge worker
roles at once.
choices about which knowledge-oriented jobs to
address at any given time. Understanding the distinctions
knowledge workers begins
when some
prioritization
to provide a basis for is
necessary.
the “perfect matrix” for distinguishing
have come to the conclusion that
many important ways variations to
sions are
it
I
choosing
among knowledge workers, and
doesn’t exist. There are simply too
two dimensions. However,
more important than
among them
have tried for years to develop
which knowledge work
in
among
others,
I
differs to
do think
some dimen-
that
and the matrix
reduce the
I’ll
describe next
has been very handy in terms of shaping an intervention for different types of knowledge work.
Distinguishing on
The matrix it
Judgment and Collaboration
in figure 2-1
uses the level of
is
an example of a
work complexity
classification
(the interpretation
approach;
and judgment
required in the process) and the degree of collaboration required as classification
dimensions.
1
These dimensions are important because
the level of collaboration often drives the degree of structure and
com-
puter mediation that’s possible in a particular job, and the level of
complexity of the work can dictate
perform
A An
it
how much knowledge is required to
successfully.
transaction worker, for example,
might be found
in a call center.
integration process
example might be an information system devel-
An
investment bank might provide an example for
opment
operation.
the collaboration model, and a primary-care physician
with the expert model.
I
practice
have found these distinctions useful in deter-
mining what kind of interventions make sense the matrix.
would
for the different cells of
27
How Knowledge Workers FIGURE
Differ,
and the Difference
It
Makes
2-1
A classification
structure for knowledge-intensive processes
Collaborative
Integration
model
Collaboration model
groups •
A
4)
O c
Systematic, repeatable work
•
on formal processes,
•
• Reliant
4) T3
Improvisational work
Highly reliant on
methodologies, or standards
c
Dependent on
•
4)
a
Dependent on fluid deployment of flexible teams
•
integration
across functional boundaries
4)
deep
expertise across functions
| 4>
Transaction model
*->
C
Expert model
o
•
Routine work
•
4)
•
on formal rules, procedures, and training
•
Dependent on low-discretion
•
«*-
Reliant
> 0)
•
Individual
Judgment-oriented work Highly reliant on individual
expertise and experience
Dependent on
workforce or information
star
performance
actors
a.
Process applications and work-flow
Decision
automation
+->
c
Data mining/ analytics
0)
> o
Transactional
Embedded knowledge
technologies
Individual
actors
Transaction
Expert model
model
interpretation/
Complexity of work
routine
where work involves
relatively
judgment
low amounts of collaboration and judg-
ment, the most appropriate technologies are those that automate structured transactions.
A
call
center system that brings calls and the
and knowledge
relevant information
to the
worker would be an exam-
ple of this type of system. BT’s AdvisorSpace system for advisers,
which
I’ll
describe later in this chapter,
its call
center
would be an example
of such a system.
As the degree of collaboration moves up into the integration model, applications that structure the process and the flow of the to
make
sense. In a
new product development environment,
lower-level engineers cycle
might have
management system
their
work begin for example,
work structured by a product life-
that keeps track of designs,
components, and
approvals for a major product design. Also within the integration
would be systems
for
knowledge reuse
—
again, for example, in a
cell
new
product development environment, where computer-aided design
88 Thinking for a Living
drawings might be reused. Reuse can also stretch into the collaboration environment, where an attorney, for example, might reuse a Decision automation, which this chapter,
I
detail later in
suited for job roles with a middle level of structure
is
expertise, such as insurance underwriting. roles
some
will describe in
legal brief.
can be automated, but experts are
The
still
and
lower-level jobs in such
necessary to build and re-
fine the system.
In the expert cell generally, the goal a
computer mediate the
I
Experts
ter.
some means of having
to find
expert’s work. If that’s possible, then
feasi-
it is
about embedding knowledge into the flow of the work
ble to think
process, as
is
will describe in a health care application later in this
may
from data mining and decision
also benefit
chap-
analysis
applications for jobs involving quantitative data. In the collaboration erative
cell,
as
I
argued in chapter
and unstructured. The only types of tools
2,
work
is
usually
it-
work
in
that typically
such environments are knowledge repositories and collaboration
which are used
voluntarily.
embedded knowledge, but and use about
There could possibly be systems involving these
in a highly collaborative
many of these
aids,
would be more
work
process.
I
difficult to
will
develop
have more to say
technologies later in the chapter.
Despite the power of technology to improve performance, not
all
forms of knowledge worker technology have been successful. There have been two pervasive dreams with regard to knowledge workers and technology. cess
all
One
of the data
necessary to itself
is
that
—
make
knowledge workers would be able
typically data arising
decisions.
to easily ac-
from business transactions
The second dream
is
that
knowledge
—typically unstructured, textual knowledge—could be
tured, shared,
and applied
to
knowledge work. Neither of these dreams
has been fully realized, but progress tion.
It’s
lows
is
taken
much
is
being
made toward
their realiza-
longer than anyone expected, however.
a brief history of organizational technologies for
workers.
easily cap-
What
fol-
knowledge
89 Organizational Technology for Knowledge Workers
Decision Support
new
In the late 1970s, a
idea
emerged from academics who worked
with applications of information technology. Called “decision support,” the concept involved the use of
make
data available for
human
complex computer algorithms
decision making.
2
The dream of
to
deci-
sion support proved to be a persistent one. IT academics in business
schools found subject
it
almost
writing thousands of papers on the
irresistible,
—perhaps many more papers than
vendors of software and services arose to ities.
The
original concept evolved into
sell
there were readers.
Many
decision support capabil-
Management Decision Support
Systems (MDSS), Executive Support Systems (ESS), Online Analytical Processing (OLAP), Relational Online Analytical Processing (ROLAP),
Multi-dimensional Online Analytical Processing
(MOLAP), and
so forth.
Despite subtle variations, the basic concept remained the same, however: a
computer program would churn through data and with human
interpretation
would
reveal previously
would allow an executive
to
hidden trends and patterns that
make smarter and
faster decisions.
However, the notion of computer-augmented decisions never exploded
like
some other categories of computer
and database management.
First
of
decision rules or algorithms from
computer
—and the
artificial intelligence
task didn’t
all, it
human
software, such as
was often
ERP
difficult to extract
experts and put
become much
really
them
in the
easier with the advent of
and knowledge engineering. Second, many knowl-
edge workers didn’t trust a computational black box to help them with decisions, preferring to rely to decision
making.
A
on gut
third issue
feel is
process to analyze the data needed to
support tool that did take off was a
or other traditional approaches
that
make
it
can be a time-consuming
a decision.
The only decision
relatively primitive
one
—
the Excel
spreadsheet. Even with this simple tool, however, a high degree of human
labor
is
often required to create
and
interpret the spreadsheets,
created by inexpert managers and analysts are often
rife
and those
with errors.
90 Thinking for a Living
Artificial Intelligence
Another idea that originated
and Expert Systems
in the 1970s,
and reached
its fullest
flower-
ing in the 1980s, was the implementation of “artificial intelligence” and
“expert systems.” These technologies were supposed to eliminate or re-
duce the need for knowledge workers by extracting their knowledge and having a computer
itself
make important
This was an important idea, and as are
still
attempting to realize
it.
But
decisions or judgments.
I’ll
describe
later,
organizations
at least in the first set
of attempts,
automating knowledge-based decision making didn’t work out very well.
A number
field
encountered numerous problems; for example:
•
The knowledge intended from the
•
of expert systems were developed, but pioneers in the
for the system
was
difficult to extract
expert’s brain
The knowledge
in a
system generally needed to change more
rapidly than the system designers anticipated, revising for such change •
The
was
difficult
tial
and expensive
best systems proved to be those that
experts, rather than replacing
them
and constantly
augmented human
—which lowered the poten-
economic returns from expert systems
Knowledge Management The
first
largely successful generation of organizational technology for
knowledge work was known nology began to appear Notes and
later the
as
in the
“knowledge management.” 3 This tech-
mid-1990s with the
availability
Web, and became quite popular
of Lotus
until the general
retrenchment of information technology in the early 2000s. Knowledge management technology generally involved the creation of repositories
—
essentially databases
—of
knowledge. Organizations stored
91 Organizational Technology for Knowledge Workers
almost every imaginable variety of knowledge, including best practices,
competitive intelligence, observations about customers, learnings
from previous
projects,
and so
forth.
The most knowledge-intensive and
industries, including professional services, pharmaceuticals,
functions within manufacturing, were
all
development of knowledge management But even
this
technology had
characterized by extensive
repositories.
problems.
its
It
was expected that
knowledge workers would find or contribute information time.
much
The problem, of
course,
spare time. As firms
became
increasingly lean
increasingly engineered,
it
became
difficult
large
and
—
rarely
had
and work processes
became impractical
contribute to knowledge repositories ries
in their spare
was that knowledge workers
became
R&D
particularly as
to consult or
some
reposito-
and unwieldy. As economic conditions became more
repositories
became
less
valuable in the early years of the
new century, knowledge management
retreated in
many firms.
However, repositories should not be entirely dismissed. There are circumstances in which they are probably the only feasible approach to
supplying knowledge workers with the data they need to do their jobs. If a
knowledge workers job process
orative,
it is
highly unstructured and collab-
is
very difficult to determine in advance what knowledge and
information a particular worker or position requires.
And
if
there
is
no
technological application that can mediate the worker’s job, repositories
may be
the only alternative. This
is
the case, for example, with the
collaborative jobs described in chapter
2.
Jobs such as consulting or in-
vestment banking, for example, meet
all
the criteria described above.
It’s
almost inconceivable that there would be an “investment banker’s
workstation” that would guide a banker through
all
the steps of the job,
supplying information and knowledge as required. In any case, no one has yet built such a system, although such tools for similar jobs have been
envisioned
if
not actually implemented.
4
Therefore, organizations in
such industries will have to free up the time to enable their employees to seek
and share knowledge from
repositories.
Thinking for a Living
Integrating
Knowledge into the Job
What’s the alternative to repositories as a knowledge management tool?
One answer
process
itself
— the
embed knowledge
to
is
embedded knowledge
into the flow of the job
applications that
I
men-
tioned above for expert knowledge workers. Under such an approach,
knowledge workers don’t have
them
at the
time of need. In
to seek out knowledge;
fact,
it is
“integrating knowledge
into business processes”
was selected
knowledge management
in a
as the
delivered to
management
most important
issue of
2002 survey of experts and practitioners/
Are organizations flocking, then, to embed knowledge into the
work processes of it’s
their
do
quite difficult to
knowledge workers? No, unfortunately this (I will describe
some of
below). There are a few good examples, however.
comes from Partners Healthcare, tals in
Boston.
Some
a
One
of
knowledge workers use for physicians.
to
and very
to
do
bake knowledge into knowledge is
to
embed
their jobs,
it
which
into the technology is
what Partners has
When knowledge supports the primary technology-
enabled transactions used in day-to-day work, activity requiring slack
There are
early
6
work, the most promising approach
done
favorites
other health care institutions are pursuing the
While there are several ways
that
my
group of Harvard-affiliated hospi-
same technology, but the Partners approach was both well executed.
the obstacles
a variety
it is
no longer
a separate
time and the motivation to seek knowledge. of ways to bring knowledge to physicians in the
course of their work, and Partners Healthcare employs several of
them. Knowledge used by
its
record, logic
tially
embedded throughout
physicians.
refers a patient to ical
is
When
the information systems
a doctor prescribes a drug, orders a test,
another physician, or even
modules and
a
calls
up the
patient’s
knowledge base are invoked
intervene in the care process. Referrals
may be
med-
to poten-
suggested by the
system to be incorrect or unnecessary. Calling up a medical record
may
Organizational Technology for Knowledge Workers
lead to a
recommendation
that certain follow-up tests or
recommen-
dations are desirable.
At the heart of
its
approach, however,
is
a
computerized physician
order entry system with trusted knowledge built
inform the physician that the patient
is
in.
The system may
taking a drug that interacts
with the drug being prescribed, or that the drug prescribed effective or
orders,
it
is
not
economical for the indicated disease. In the case of
test
may
the disease or
note that the
symptoms
A
not generally useful in addressing
identified, or that the test has already
performed on the patient treatment.
test is
sufficient times to indicate a diagnosis or
physician would use different systems (a referral system
or a computerized medical record system) for actions. a
However,
common
been
all
some
different trans-
of these systems are integrated and
all
leverage
common
database of patient clinical information and a
logic engine.
The order entry system because ordering tient care;
it is
is
is
key to the delivery of quality medical care
where physicians execute
the point at which knowledge
the system, there
and place where
would be no easy way it is
their decisions
most
is
to apply
about pa-
valuable.
knowledge
Without
at the
time
needed most. Such an order entry system may
crease both efficiency
and
safety, in the latter case
in-
by avoiding misin-
terpretation of poorly written orders. But the primary value
is
surely
the ability to insert knowledge into the process.
There
are,
of course, times
when
physicians need medical knowl-
edge when they are not face-to-face with a patient. For these circumstances, Partners has developed a patient “event detection” system that
provides alerts to physicians via wireless pager tienfs
monitored health indicators
pected.
or
new
treatment.
a hospitalized pa-
significantly depart
The physician can then proceed
call in a
when
from those
ex-
to directly observe the patient
The computerized medical record system
can also generate reminders to physicians that a particular patient
should receive a
call,
or schedule an appointment for a follow-up.
Thinking for a Living
The power of knowledge-based order erized medical record in real time.
entry, referral,
and event detection systems
Knowledge
is
and comput-
that they operate
is
applied directly and immediately in the pa-
does not have to seek
tient care process; the physician
it
out. In
situations, physicians can also get real-time access to experts for line or
are not real-time; this in the logic
tion to search
it
other sources of knowledge that
knowledge can be more extensive that that
modules, but
out.
many
requires
it
some time and
the motiva-
Online knowledge repositories (called the Part-
Handbook) include online journals and
ners
an on-
telemedicine-based consultation.
Partners has also assembled
found
some
databases, care protocols
or guidelines for particular diseases, the interpretive digests prepared
by Partners physicians, formularies of approved drugs and
and even online textbooks.
their use,
All of these
While the
more
sources available to Partners physicians are perhaps at
on
knowledge resources
are accessible through an integrated intranet portal.
than those
details
re-
extensive
become widely
other hospitals, similar resources have
available to those other practitioners as well.
Most Partners physicians tively
research, so they
their time to consult such resources
result the online
about
do
a
Handbook
is
accessed, across
thousand times a day. Contrast
this
is
a rela-
certainly limited.
all
situation of these physicians
is
the
As a
Partners institutions,
with the thirteen thousand
orders a day at one Partners hospital, Brigham and
The
may have
high appetite for online knowledge. They are busy people, how-
and
ever,
also
same
Womens,
as that in
alone.
which many
businesspeople find themselves today: a wealth of online knowledge,
but
little
time or context in which to peruse
it
unless
it
has immediate
practical application.
While the Partners knowledge approach has been under develop-
ment
for over a decade,
it’s still
not complete. The online order entry
system and related knowledge are only accessible within the organization’s
two
flagship hospitals, Massachusetts General
and Brigham and
95 Organizational Technology for Knowledge Workers
Womens. Medical knowledge
has not yet been codified for
eases Partners physicians treat.
The knowledge
several different information systems still
and
all
embedded within
is
difficult to access.
is
the dis-
There
is
plenty of work to be done.
Yet there
is
clear evidence that the
trolled study of the system’s
approach
beneficial.
A
con-
impact on medication errors found that
serious errors were reduced by 55 percent. that Partners experts
is
found particularly
increased from 12 to 81 percent.
When
The ordering of a new drug
beneficial for heart
the system began
problems
recommend-
ing that a cancer drug be given fewer times per day, the percent of orders entered for the lower frequency changed from 6 to 75 percent.
When the system began to remind physicians that patients prescribed a treatment of bed
rest also
needed
a prescription of the
blood thinner
Heparin, the frequency of prescription increased from 24 to 54 percent.
These improvements save not only ple,
lives,
but also
costs.
For exam-
recommendations from the system can point out drugs
cheaper as well as more
effective.
drug event (ADE) costs $2,000 other costs.
A
typical
Most
significantly, a single adverse
in repeat tests, extra hospital days,
seven-hundred-bed hospital
million per year in preventable
ADE
costs.
To
will incur
is still
yet seen their costs go
down, nor have national malpractice
some
rare
enough
and
about $1
date, order entry with
embedded knowledge
clined.
that are
that U.S. insurers have not
However, Partners, which insures
itself for
costs de-
malpractice, has
early data suggesting that malpractice reserves can be smaller be-
cause there are fewer drug-related claims. It isn’t
ally
—and
easy to develop such systems
—
either technically or manageri-
there are few off-the-shelf packages for knowledge-intensive
business processes that would allow individuals and organizations to
own knowledge
When
embed
their
create a
complex information and technology infrastructure
pull together the
into systems.
knowledge base and
logic
Partners needed to that
would
modules with an integrated
patient record system, a clinical decision support system, event
man-
Thinking for a Living
agement system capabilities,
hospitals
for alerts,
had
it
now
an intranet portal, and several other system
to develop
have some or
most of the systems
all
itself.
Other leading
of these capabilities, but Partners’
time knowledge approaches are certainly
real-
at the leading edge.
However, the nontechnical and managerial aspects of the overall approach are
just as
important to
its
success,
and perhaps harder
—each of which would be work— bake knowledge
implement. Several of these issues to
any organization seeking to
to
relevant
into
are de-
scribed below.
Motivation.
velop the
work
is
How did
Partners executives
become motivated
embedded knowledge approach? Embedding knowledge
into
time-consuming and expensive, so substantial motivation
necessary in order to undertake such an initiative.
motivation
at
One key
is
source of
Partners was research that found surprisingly high levels
of medical errors and preventable adverse drug events pitals.
to de-
at Partners
hos-
That these leading institutions could be unconsciously acting in
was troubling, and
direct opposition to their healing mission
vated action.
The
CEO
of one hospital
at
it
moti-
which these errors were ob-
served and measured, H. Richard Nesson of Brigham and
Women’s
Hospital in Boston, insisted that there had to be a solution.
The drug
errors
problem was the
knowledge
gram
in this area
first is
that Partners took on, because
relatively straightforward
into an order entry system.
Partners executives
moved on
to
As
trust
more
among
difficult
much
and easy
of the
to pro-
physicians increased,
and complex domains
such as patient care protocols.
Establishment of a credible and up-to-date knowledge base. the knowledge of an organization it
is
embedded
has to be of high quality and currency.
cratic, obsolete,
If
or untested knowledge in
When
into critical processes,
Partners employed idiosynits
medical care processes,
it
97 Organizational Technology for Knowledge Workers
would
subject
its
patients
and
itself to
high
The organization has
risk.
addressed this issue by forming several committees, and empowering existing committees, to identify, refine,
and update the knowledge used
domain. Medication recommendations
in each
from Drug Therapy Committees. Care protocols are designed
take
on the
for particular diseases
task of developing logic to guide radiology test ordering.
their particular
viewed
system come
by teams of specialists. Radiology Utilization Committees
Leaders of clinical service lines
is
in the
(e.g.,
cardiology) are recruited to
knowledge into the system. Participation
as prestigious,
and busy physicians
new umbrella
groups
are willing to devote extra
time to codifying the knowledge within their has been creating
in these
embed
fields.
Of
late,
Partners
organizations to oversee the knowl-
edge bases across the organization, and to put the knowledge in a more accessible
and manageable form.
Prioritizing which processes
these
embedded knowledge
and knowledge domains
initiatives are difficult
should only be undertaken for truly
critical
to address.
Since
and expensive, they
knowledge work processes.
There are many different kinds of knowledge work jobs
in hospitals
and
other knowledge-intensive organizations. Organizations should generally
look
first at
knowledge worker
organization’s mission
and
that
roles that are critical to achieving the
may
important knowledge. At Partners, ical
care processes as the
cisions to be
patient to a specialist)
more are
and multiple difficult to
still
(e.g.,
and
in
was
critical,
made about which
subprocesses to address
ations
most
it
be bottlenecks for large bodies of relatively easy to identify
but there were
disease
still
med-
important de-
domains and which medical
ordering medications versus referring a
what
order. Fields with
many disease vari-
alternative treatment protocols (e.g., oncology) are
include in the knowledge systems. Partners executives
trying to determine
what types of knowledge resources would
be most useful for other workers providing patient care
(e.g.,
nurses).
Thinking for a Living
Leaving the final decision up
end knowledge workers such
move
the
human
might either
as physicians,
was
it
would be
a mistake to re-
experts from the decision-making process.
system
reject or resent the
patients. This
knowledge worker. With high-
to the
a mistake
if it
made by some
They
challenged their role with
organizations, such as those
implemented medical expert systems attempting
to take over diag-
nosis, over the last couple of decades. Overreliance
on computerized
that
knowledge can
also lead to mistakes.
to present the physician with a
The approach taken by Partners
recommendation.
physician will then combine his or her system.
On an average day at Brigham
It is
hoped
own knowledge with
When
detection system generates
tics
alert,
that of the
computer
medication allergy or conflict warnings are gener-
ated, a third to a half of the orders are cancelled.
of an
that the
and Womens, out of 13,000 or-
ders entered by physicians, 386 are changed as a result of a suggestion.
more than 3,000
The hospitals event-
alerts
per year; as a result
treatment was changed 72 percent of the time. These
are an indication that the hybrid
at Partners is
is
working. Partners
ber of alerts to the
minimum
the need to routinely override
is
statis-
human/computer knowledge system
now working on
reducing the
num-
necessary, so that physicians won’t feel
them
for low-level concerns.
Developing a measurement and improvement culture. In order to justify
both the
effort
system, and to assess
on
this
kind of
and spending required
how well
initiative
it’s
for
working, an organization embarking
needs to have a measurement-oriented cul-
ture in place. Recall that the Partners effort
measurement of medical
an embedded knowledge
errors.
was
motivated by
initially
The tracking mechanisms within
order entry system can detect whether physicians use the
knowledge and change to
know that
their treatment decisions,
the approach
is
is
embedded
the only
way
working. Partners has always had a strong
measurement culture because most senior
which
the
it
is
an academic medical center, and
clinicians are also researchers.
But the development of this
99 Organizational Technology for Knowledge Workers
knowledge management approach has both enabled and required a greater emphasis
on measurement of key
processes.
The measures
are
used as justifications and progress reporting tools for efforts to reengineer and continuously improve care processes.
Whenever
Putting the right information and IT people in place.
knowledge technologies are applied to attribute
much
to business problems,
of the benefit to the technology
Partners case, and in
many others
I’ve seen, the
it’s
tempting
But in the
itself.
improvement
based on the employment of talented humans. Certainly
it
is
heavily
requires an
IT organization that knows the business and can work closely with key executives
and knowledge-rich
professionals.
could never successfully build a system of
management of measures, quires a staff that this discipline
is
is
this type.
It
For Partners, the also re-
information management. In health care
called “medical informatics,”
leaders in this field.
IT group
and knowledge
patient records,
skilled in
A “back room”
and Partners has recruited
has several medical informatics departments, in-
cluding Clinical and Quality Analysis, Medical Imaging, Telemedicine,
and
Clinical Information Systems
R&D. The
leaders of each of these
departments are MDs, but they also have advanced degrees fields as
computer
science, statistics,
in
such
and medical informatics.
Performance Support The Partners is
new from
not
new
case,
and the general idea of baking knowledge
the standpoint of knowledge
at all
into work,
management. However,
it’s
from the perspective of organizational learning ap-
proaches. Well over a decade ago, for example, leading thinkers in the learning and training fields began to notice that training given substantially before a task
performance of the
was performed was not
effective in
task. Gloria Gery, in particular,
improving
wrote a book on
100 Thinking for a Living
this topic entitled Electronic
Performance Support Systems in 1991/
It
argued for just-in-time learning provided through electronic technologies
—
a vision that
is
remarkably similar to the just-in-time provi-
sion of knowledge I’ve just described at Partners.
Gery and her colleagues who advocated what has come as
“performance support” were correct,
to be
known
ahead of their time. They
if
were confident that the concept would penetrate industries during the next few years and change the
way work and
organizations. Unfortunately, however,
all
learning are performed in
too few of these integrated
work and learning environments have been
some
Certainly there were port, but even
technological barriers to performance sup-
more problematic have been
cation, lack of understanding
traditionally
however,
ish,
that
is
minded it is
trainers.
likely to
actually implemented.
economic
and sponsorship, and
When
look very
embedded within work
issues of
justifi-
resistance
from
performance support does flour-
much like knowledge management
processes.
Role-specific Portals
The Partners example and performance support technology
how powerful edge baked
in.
it
illustrate
can be to build customized IT applications with knowl-
But there
knowledge workers that
is
is
another approach to delivering knowledge to
halfway between a knowledge management
repository and a customized application: the role-specific portal. portal
is
a
Web-based information delivery application
range of information and knowledge on one
site.
A
that provides a
A role-specific portal
narrows that range by attempting to provide only the information and
knowledge required
for a particular role or job. Like a repository,
quires that the user search for the information, but so that the search
is
not
may
re-
limits the scope
difficult.
The information and knowledge specific portal
it
it
accessible to the
worker
in a role-
be a mixture of transactional information, textual
101 Organizational Technology for Knowledge Workers
knowledge, multimedia educational content, and links to
by the
user.
The
screen should provide
much
take too
Not
time.
all
created
the information and knowl-
all
edge necessary to do the job, and no more
would
sites
—otherwise
the search
of the information on the portal
need be unique, but views of commonly available information should be specific to the job.
A great example of such a role-based approach is
telecom firm BT. The role on which
at the global
siderable effort
is
fifteen
transaction knowledge less
work
thousand. While this
ability
(typically
more on improved customer
Centers. BT’s goal
is
to
make
available
in real time while the
key design
criteria for
that focuses
on
an example of a
was
in call-handling
service through better avail-
BT implemented
“BT AdvisorSpace,” within
knowledge
tal’
measured
of relevant information and knowledge.
role-specific portal,
is
process, the focus for these workers
on increased productivity
times) and
has focused con-
the “customer contact” worker or “advisor,” of which
company employs
the
BT
all
customer
is
its
a
new
Customer Contact
needed information and
on
One
the phone.
of the
AdvisorSpace was to create an interface or ‘por-
delivering the information
and functionality the
advisor requires, as opposed to forcing the advisor to find the content via help is
files,
intranet
and paper documents. Eventually the goal
sites,
to bring the relevant information to the screen automatically based
on the context of the current customer transaction
(i.e.,
to
move more
in the direction of the Partners order entry system).
The new system has already crease in the
number of customers
and knowledgeable in the
led to a several-percentage-point in-
(it’s
at
97 percent now). The advisors’ confidence
information they use
improvements
is
in call-handling times.
mation resources on a particular As with Partners, BT focused
The BT example it
focuses
been
illustrates
what
select a role that
its
efforts
and
infor-
role. its
efforts
on
a single job.
transform every knowledge work role
need either to
also
up by 23 percent. There have
an organization can accomplish when
sible to
was helpful
feeling that their advisor
is
critical to its
at
It’s
not pos-
once. Organizations
mission (physicians
at
102
Thinking for a Living
Partners, for example) or very
numerous and expensive
center
(call
representatives at BT).
Automating Decisions The shortage of managerial time and
analytical expertise that hindered
may be behind
the rise of decision support
the rise of a
new trend
that
holds the promise of realizing that dream, at least to a greater degree.
With
today’s lean organizations, few
knowledge workers have the time
to delve deeply into data analysis or learn the intricacies of a decision
support system (DSS). Instead of employing a DSS, tions are beginning to ask the system to
Automated decision-making systems industries
made
and applications, and
decisions at least
up
to the
make
many
organiza-
the decisions for them.
are penetrating a
wide variety of
human-
are taking over previously
middle management
level.
As
I
men-
tioned above, they also tend to be appropriate for middle levels of expertise
and collaboration. With
this
speed decision making, and lower the
number of highly educated and
expensive decision makers needed. This hold, for example, in “yield
expanding
is
not a
new idea
management” systems
automated pricing decisions for the idea are
approach, organizations can
in the early 1980s
significantly.
—
it
first
in airlines that
and
made
—but the applications
Sometimes
called “in-line” or
“embedded” decision support, the concept might be described intersection of decision support
took
artificial intelligence,
as the
or the “in-
dustrialization” of decision support.
After the success of yield
management, automated decision making
then became pervasive in the financial services industry and
most
common
there.
An
increasing
cial services is available online,
amount of information
which makes
it
is still
in finan-
possible to integrate
and
analyze the information in more-or-less real time. In investment banking, these systems
and online information are behind the
rise
of pro-
103 Organizational Technology for Knowledge Workers
gram trading of
and other
equities, currencies,
financial assets. For
most consumers, the primary impact of automated decision making
realm of credit approval. Credit scores, such as those from Fair
in the
(known
Isaac Corporation
deny
is
as the
FICO
score), are
used to extend or
credit to individuals applying for mortgages, credit cards,
is-
suance of telecommunications accounts, and other forms of debt. Al-
though FICO-based simplistic,
hind the
it
credit scoring has
has certainly
made
been
the process
more
efficient,
availability of near-instant credit decisions.
tion information
is
home
and
is
be-
Housing valua-
making
also increasingly available online,
online mortgage and
being overly
criticized for
possible
equity loans in near-real time.
For example, Lending Tree, a marketplace of lenders for mortgage
and other types of loans, uses automated decision-making technology to decide
which lenders might be best suited
mortgage. Using seventeen different
based on the likelihood they either their
licensed five
criteria,
will close
on
from Lending Tree
four banks are selected
a loan.
own automated decision-making
Then
the banks use
technology or software
make an immediate
to
consumers a
to offer
decision (within
minutes) on whether to offer a mortgage to the consumer and
what
rate
sumer
and terms
to
do
so.
Lending Tree guarantees that the con-
will receive all offers in
one business
day, but they typically
come within minutes. Not only is the process much more that used that the
at
efficient
than
by the typical mortgage broker, but Lending Tree has learned
consumer
is
10 percent
more
likely to accept a
loan
when
it is
offered immediately. In financial services, automated decision
making
is
being used for a
broader variety of applications than just credit decisions. Citibank, for example, uses the technology for automated dispute resolution of credit card accounts.
to calculate
Mortgage banks have created automated systems
nonstandard loan terms; a schoolteacher, for example,
could get a loan that
is
only repaid during the school year. Most large
insurance companies use the technology to underwrite most
life
insur-
104 Thinking for a Living
ance policies, and some are beginning to employ insurance as well. Other firms have begun to use
ance to the mix of an investment portfolio.
tomated system to In
consumer
assess the risk of
credit
and
IBM
collections decision
no
bill
worthy of
is
using an au-
making, several firms
—
are beginning to use
—or whether customer with be —should not a
criteria, a cell
a past
phone com-
customer with dubious credit
for example, that a
a
a yes-or-
really
With more complex decision
pany could decide,
manage compli-
Credit
should be denied further service
decision.
is
a pay-in-advance account, if not a regular credit account.
Similarly, a
good
to
move beyond binary decisions. Whether
tools to
person should be extended credit
due
it
for small-business
entire credit portfolio.
its
most notably in the telecommunications industry automated decision
it
customer
who
misses a single payment with an otherwise
credit history should be treated differently than a
customer with
a history of difficult collections.
Now automated of other industries.
decision
Some
making
is
penetrating into a wide variety
of the U.S. Middle Atlantic-area
utilities that
avoided the
summer 2003
to avert the
problem through automated decision making.
trial
electrical
equipment manufacturer
tax implications of various
is
blackout claim that they were able indus-
using the technology to determine the
equipment contracts and
vices bills for maintenance. In insurance,
are being used to process claims
An
to calculate ser-
automated decision systems
and underwrite insurance
policies. In
health care, they are being used to determine reimbursement levels. In travel
and transportation, where
large U.S. airlines such as
yield
management once helped
American fend off
less technically sophisti-
cated discount airlines such as People Express, automated pricing sys-
tems have become pervasive (no longer conferring advantage on the financially-hurting large carriers).
the pricing of hotels
employed ers
and
zon),
and
The same
rental cars.
for other types of products
electronics (at Dell
new car promotional
tools are also
Automated pricing and
Computer,
is
used in
also being
services, including
for example),
offers (Ford),
now
comput-
books (on Ama-
and even apartment
rents.
105 Organizational Technology for Knowledge Workers
Often these automated decisions are made within the context of a broader business process that
is itself
automated. “Decision engines” or
“business rule engines” for automated decision making are increasingly being
embedded within business
process
management (BPM)
technology that orchestrates the entire workflow for a business process.
Some
observers
call this
process “smart
BPM.”
If a
bank, for example,
were using the technology for credit card dispute resolution,
it
could
not only manage the process from cardholder to bank to merchant and
back again, but also embed automated decision making about
much and when Of
to bill the customer.
involve
some
decisions, or a sampling of them. In
many
course, these systems
human
—
review
either of
all
and processes can
cases, particularly difficult cases are kicked
tem
human
to a
expert,
and experts
mated decision systems and constraints of time will
probably
how
mean
out of the automated sys-
needed
to help build auto-
refine the rules they use.
and expertise that few
are also
still
But the same
that limited decision supports rise
humans will be looking over the
shoulders
of automated decision systems. This will undoubtedly lead to considerable changes in ties,
far
and
how
in the labor
organizations view knowledge-intensive activi-
market for analysts and midlevel managers. Thus
automated decision making has been
but also
it
may
is
largely invisible to the public,
lead to a quiet revolution in organizations
not without
risk:
societies. It
automating poor decision processes can
quickly get a firm into trouble, and managers
problem
and
may
not recognize the
until there are substantial losses.
Other Types of Knowledge Worker Software In addition to
embedding knowledge
in
work
processes, performance
support, and automated decision making, there are a variety of IT applications that are intended to
mance. These
fall
improve knowledge worker perfor-
into a few specific categories, however,
and
are
106 Thinking foT a Living
unlikely to be applicable to a broad range of knowledge worker perfor-
mance
issues.
One
category
is
software for knowledge workers.
role-specific
These applications support a particular role that cuts across several different industries. Call center workers, for example, have at their dis-
posal a broad range of technologies, though they are likely to have been
chosen and implemented by others, not by the workers themselves. This little
call
is
one aspect of low-level, transaction-oriented work: there
just
discretion about
what
tools to use in
performing the
center agents, for example, don’t have access to e-mail
ternet
from
The
Most
and the
In-
their office computers.
applications for call centers include customer relationship
management
software, tools for scripting conversations with customers,
knowledge tools
for solving
ing customer feedback. crease the
volume of
somewhat
less
customer.
Some
humans
job.
is
customer problems, and tools for captur-
The goal of these applications calls that a call
is
typically to in-
center agent can handle,
and
often to increase the quality of service provided to the
organizations want to go even further and eliminate
altogether
from
call centers,
hence the
rise
of interactive voice
response and other customer self-service technologies.
At the other extreme of role-specific technologies are tools for scientists in
icals,
pharmaceutical, medical equipment, chemicals and petrochem-
and environmental
firms.
Such tools
as electronic lab
notebooks
(not necessarily notebook computers, but rather software for capturing the results of laboratory experiments)
management systems have been
and laboratory information
available for
many
years,
but these
high-discretion workers have generally been given latitude as to whether
and how the applications are used. lab notebook, this
was
largely tolerated.
edge gathered were viewed as the didn’t matter in
If a scientist
what format
was generally productive.
it
wanted
to use a paper
The information and knowl-
scientist’s
was gathered
personal property, so
—
it
at least if the scientist
107 Organizational Technology for Knowledge Workers
More
recently,
however, companies have begun to
As laboratory documents become
tools be used in a consistent fashion. legal
documents, and
comes more
critical to
insist that these
as laboratory
information and knowledge be-
R&D and regulatory processes, firms are discov-
ering that they can’t leave the use of laboratory applications to the scientist’s discretion. Infinity
Pharmaceuticals, for example, a
Cam-
bridge, Massachusetts, drug development start-up that employs
approaches to chemistry and genetic screening, mandates that entists use electronic lab
notebooks, and that they
tion available to everyone in the
make
company. These
new
its sci-
their informa-
tools,
along with
other scientific and analytical applications, have been combined into the “InfiNet Knowledge Platform,” which
intended to provide a
is
broad knowledge capture and knowledge sharing capability for the
company and ductivity
its
research partners. As the importance of scientific pro-
and knowledge sharing increases
likely to see
in this type
of firm, we are
more mandated use of the previously voluntary
solutions.
Other technologies are more experimental, and not yet of
clear
value in the goal to increase knowledge worker performance. However,
they offer the promise of enabling
and
new knowledge worker
functions
applications.
Social networking software,
which
I
will describe in chapter 7,
one such category. This technology is intended
to
is
enhance the function
of social networks both within and across organizations. Certainly these tools
remind us that knowledge worker performance
an individual
effort; ideas
and
working together. However,
their execution
if it’s difficult
the performance of individual workers,
termine
how well
social
way from knowing how
to
it’s
all
derive
is
not only
from people
measure and understand
even more
networks are performing
difficult to de-
overall.
to assess the productivity of
We’re a long
networks and the
value that networking technologies bring to them.
There are other forms of “socialware” cial
relationships
—
that
some view
as
—software
that supports so-
important to the future of
108 Thinking foT a Living
knowledge work. Academics have studied
this category for years, in-
cluding technologies for finding people sharing
common
interests, for
enabling a virtual conversation or discussion, or for group decision
support and decision making. Most such
have proven stub-
activities
bornly resistant to any sort of automation, although occasionally a technology gets broader
One example
is
Web
and acceptance.
visibility
logging or “blogging,” which
is
a
means
for in-
dividuals to record their opinions for others to access. Partisans of
blogging argue that there are
many
potential business applications of
the technology (and they discuss these applications in their blogs!).
But
I
believe that blogging
falls
knowledge worker performance cations are largely hypothetical uals to express their
into the is
—
unproven category
concerned.
at
the
as far as
the business appli-
First,
moment
8
it’s
a tool for individ-
somewhat random musings. Second, I know of no
organization in which the benefits of blogging have ever been measured. Perhaps the biggest to write
and read
for blogging
is
we
it. I
am
all
for
phenomenon with
shouldn’t confuse the
that his
own
managing
his
my friend and
blog
former colleague
—and those of some others—
own
caught on broadly,
personal knowledge. it
could represent a
it
takes
from pro-
freedom of expression and
knowledge worker performance. One potential point ging comes from
the time
blogs. If anything this tool has detracted
ductivity, not increased
publishing, but
problem
increased
in favor of blog-
Bill Ives,
is
self-
who
argues
really a vehicle for
If this particular
new approach
use of blogs
to organizational
knowledge management.
Summary Organizations need to strike a balance with
knowledge workers. They need technologies,
and learn what
to
new
technologies for
experiment and tinker with new
their potential benefits
might be for en-
109 Organizational Technology for Knowledge Workers
hancing performance. But
if
they are to be used for business, a hard-
nosed attitude should be adopted
fairly quickly.
What’s the value?
should any improved performance be measured? the cost
— not
hardware and software, but
just in
and
to learn, tinker with,
Is
fix
How
the payoff equal to
in the
time required
the technology? Ultimately, any evaluation
of knowledge worker technologies will require close observation of
how
the technology
new technologies
is
fits
labor-intensive,
performance payoff is even more
and understanding
their value
and
ganizational level, for organizational processes is
been
at the or-
objectives.
subject of chapter
knowledge worker
level,
and
this
is
6.
Recommendations for Getting
Results
from Knowledge Workers Information technology for improving knowledge work can be divided into two types: organizational and personal. •
Under the banner of “knowledge management,” many organizations have created knowledge repositories to aid knowl-
edge workers in jobs, but few workers have the time needed to
•
browse and learn from repositories.
An important alternative to embedding knowledge process. This if
But
another world of technology and performance interventions
that operate at the individual
•
and
so.
All of the technologies discussed in this chapter have
there
and using
into the context of the job. Learning
done
well
is
—
repositories
into the
difficult to do,
as in
some
is
the idea of
knowledge worker’s job
but can be very rewarding
health care processes.
the
110 Thinking for a Living
•
Performance support and role-specific portals are ways to reduce the amount of searching and browsing for timepressed knowledge workers.
•
Well-structured decision processes are increasingly being
automated. In edge workers often
•
still
many cases,
is
the
work of entry-level knowl-
being done by computers, but experts are
needed.
There are many other categories of organizational applications for
knowledge workers, including
social
networking
software and blogging tools. These should be the subject of
experimentation within organizations, but they have yet to
•
demonstrate clear business value.
Motivation to pursue knowledge technologies (such as the prevention of medical errors)
is
an extremely important
factor in successful implementation.
6
Developing Individual
Knowledge Worker Capabilities
Most interventions
to
improve performance
ganizational or process level, but also
improve individual
it
in business are at the or-
doesn’t have to be that way.
capabilities. Ultimately,
We can
knowledge worker
performance comes down to the behaviors of individual knowledge workers. process,
If
we improve
their individual abilities to create, acquire,
and use knowledge, we
are likely to
improve the performance
of the processes they work on and the organizations they work
Of course, some also can
I’ve
described
improve individual performance, so what’s the difference? In-
dividual knowledge First,
of the organization-level initiatives
for.
work improvement
initiatives
have two attributes.
they are directly focused on improving performance of knowl-
edge worker employees as individuals, not as members of a larger group.
A CRM a
program
for
number of people
customer service workers doesn’t
in that function
would use
it,
qualify,
because
and the system
is
not
112
Thinking for a Living
(or at least rarely) customized to individual needs. Second, individu-
oriented initiatives are targeted at improving
ally ity,
rather than instituting a
new
process. Giving
piece of hardware or software
phone
cell
new
—wouldn’t
qualify,
—
say, a
some
skill
or capabil-
knowledge workers
a
personal digital assistant or
but teaching them
how
to use these de-
vices effectively would. I
became persuaded of the
when doing some work with
capabilities at the personal level
ware Engineering its
knowledge worker
virtues of improving
Institute at Carnegie-Mellon.
The SEI
is
the Soft-
famous
for
Capability Maturity Model, an assessment tool for software engi-
neering processes that
I
described in chapter
evaluates firms or
3. It
business units on their overall approaches to software development.
But Watts Humphrey, the developer of the sight.
He
realized that
move up through what might
it
was taking too long
five stages
of the
accelerate the process.
would probably improve much and
CMM, had another key in-
CMM,
for
many organizations to
and began
He concluded
faster if they
to think
about
that organizations
were to develop team-
individual-level capabilities in addition to those at the organiza-
tional level. SEI’s research has
borne out
this hypothesis.
Companies employing
the personal software process (PSP) and the team software process (TSP)
have been
known
to
move from
development maturity
in
the lowest to highest levels of software
about a year
—versus an average of
close to
ten years for this journey using only organization-level approaches.
What
1
Kinds of Capabilities Do
Knowledge Workers Need? The
lessons of the
edge workers.
PSP
Some
aren’t,
of course, relevant to
all
types of knowl-
individual capabilities are process-specific. In the
113 Developing Individual Knowledge Worker Capabilities
PSP, for example, software developers are taught and assessed
should focus on such capabilities as interview-
Similarly, a consultant
and
analytical skills.
But there are also generic knowledge worker
skills
that almost
everyone employs, and that could benefit from improvement. all
their
measure, deal with data, and handle defects.
ability to estimate, plan,
ing, presentation,
on
knowledge workers do? They read and
write, of course,
What do
and our ed-
ucational systems do a pretty decent job of inculcating these
skills.
Even that doesn’t stop some assiduous knowledge workers from taking courses in speed reading, business writing, or the
like.
No doubt more
of this should be done, but given the available resources for building this capability, there
is
no need
Knowledge workers
also
to discuss
spend a
ganizations, of course, don’t
do
lot
a very
ployees run meetings effectively.
A
it
further in this book.
of time in meetings. Most or-
good job
at
helping their em-
few, like Xerox, have instituted
organizationwide programs focused on maintaining a high quality of meetings. Again, there are plenty of written materials and educational
options for people
ment, so
I
who want
and knowledge
and
writing,
about
more about meeting manage-
won’t say anything more about
Increasingly, however,
sages,
to learn
—on
it
here
knowledge workers
2 .
also process information
paper, in telephone conversations
electronically. This subject
and meeting, and there
is
is
and voice mes-
much newer
relatively little
than reading,
information available
how to do it well, or how organizations can help their knowledge
workers do
it
well. In this chapter
better understand this subject.
companies seeking
to
I’ll
report
on
three research efforts to
Two were undertaken by
also report
on more
detailed interviews of individuals
to be very effective in their
management.
group of
understand information work; both corporate
and individual-level research projects were undertaken by I’ll
a
own
this group.
who
claim
personal information and knowledge
114 Thinking for a Living
Personal Information
and Knowledge
Management for Knowledge Workers In 2003 the Information
Work
Productivity Council (IWPC), a con-
sortium of technology and IT services vendors, funded a number of research projects
management
on the
topic of personal information
(see “Research Approaches”).
searchers participating in this project ficient
knowledge on how
knowledge workers, and
The companies and
realized that there
was
that this topic
all felt
3
One compelling
that information workers (people
who
a
major topic
reason for this was
use technology and
information in the context of their jobs
and
—personal information
—would very soon become
by businesses.
re-
insuf-
to get productivity out of information
and knowledge management to be addressed
had
and knowledge
—perhaps
a
work with
somewhat
larger
category than knowledge workers) were spending ever larger amounts
of time (more than three hours per day by our data) messaging, creat-
and knowledge, and other
ing documents, searching for information
information-intensive
activities.
Despite this large time commitment, information workers have
been mostly
left
to their
their organizations in
tasks effectively
and
own
devices, so to speak, with
little
help from
how to perform key information and knowledge
efficiently.
And
those devices, or the technologies
used for handling personal information and knowledge, have been largely separate
wireline
and
and unintegrated. Thus
cell
still
our desktop PCs, laptops,
phones, PDAs, handheld communicators, and other
— not mention the paper-based many employ— have been unconnected. At the same
assorted technologies dividuals
far
to
tools
in-
largely
time that we face increasing technological challenges in managing personal information and knowledge, few individuals can be said to be well educated their jobs in
and well informed on how
an optimum fashion.
to use the tools to
perform
Developing Individual Knowledge Worker Capabilities
Research Approaches chapter
his
d r aw s from three studies of personal
infor-
mation and knowledge management. Two were performed under the auspices of the Information a
Work
Productivity Council (IWPC),
consortium of technology firms founded
to carry out research
and
educational initiatives in the areas of understanding, measuring, and
enhancing information work productivity. In 2003, the year the
IWPC
was founded, sponsoring firms included Accenture, Cisco Systems, Hewlett-Packard,
mic
director,
In the
first
in large
Microsoft, SAP, and Xerox.
and collaborated with
of these studies,
I
was the acade-
company representatives.
several
we interviewed twenty-one managers
companies and two government agencies who were
ested in the issue. cally
Intel,
The
particular
inter-
managers we interviewed were
typi-
knowledge managers, managers of new technologies, and IT
managers who
dealt with personal productivity tools for their orga-
nizations.
The second study was focused on how
individuals were dealing
with personal information and knowledge, and involved just over
500 U.S. -based information and technology
users.
These individuals
We then reduced this whom had access to a
volunteered to complete a Web-based survey.
sample to 439 qualified respondents,
computer and e-mail
at
who
of
work, spent some time during the week pro-
cessing work-related information,
The
all
and used e-mail
at least weekly.
third study involved hour-long interviews with ten individuals
reported that they were highly effective managers of their per-
sonal information and knowledge environments.
of jobs across
many industries.
They had
a variety
116
Thinking for a Living
Working with these devices
to
manage
formation and knowledge, however,
personal, work-related in-
increasingly
is
what people do
within organizations. Its not hard to believe that with better technology, better education,
and
better
management, the key tasks
that infor-
mation workers perform within organizations could be done with greater speed
tion have
them can
and
become
quality,
and
at
lower
cost.
Technology and informa-
so closely integrated with
easily create
more
effective
and
work
that better use of
efficient organizations.
Information Manager Findings Information managers showed considerable variation in their orientation to personal information
and knowledge management, with some
companies already treating
as
erable attention, in
some on
it
the road to that status, and
roughly equal proportions.
will
an important issue worthy of consid-
I
some unaware
suspect that the adoption of the idea
mirror that of other business and management innovations, and a
focus
on personal information and knowledge management
tually spread
learn
and become much more pervasive. But there
from organizations that are addressing the
The leading-edge companies
— found
is
much
information and
knowledge-intensive information technology, pharmaceutical, and nancial services industries that they
—exhibited
fi-
a variety of traits suggesting
were focused on personal information issues (see figure 6-1
for a graphic display of the orientations to these issues).
ready actively dealing with personal information specific initiatives to address productivity
ogy. Cisco Systems, for example,
Work”
to
issue today.
the
in
will even-
initiative for
behavior changes for
how to
al-
management with
through the use of technol-
had begun
a
“Change the Way
employees, which involved a
technologies, education in
Some were
recommended
We
set
of
use them, and a set of recommended
optimum information-processing
effectiveness.
117 Developing Individual Knowledge Worker Capabilities
FIGURE
6-1
Company orientations to knowledge management
personal information and
address productivity in corporate initiatives Go beyond just technology to usage and behavior Provide an integrated approach to support
• Explicitly
Already there
• •
•
On
the road
•
•
No awareness or activity
•
Rely primarily on technology Address knowledge, but not holistically Focused on other issues
Not aware of the issues technology Fragmented support
• Little
•
Capital One, the financial services firm, had a broad initiative under-
way
to
improve individual-level productivity with technology
tioned their approach to experiments in chapter in this category
had similar programs under way,
men-
(I
Other companies
3).
either for
all
employ-
ees or for a particular subset.
One
of the earliest adopters of these approaches
created an “eWorkforce” initiative
is Intel,
which has
composed of three previous
separate
groups addressing knowledge management, collaboration, and personal productivity.
The eWorkforce group has determined
use of these technologies ers are aggressive users
is
a pressing
and spend
problem
large
that better
for Intel, since
its
work-
amounts of time doing
Sixty-three percent of Intel employees participate in
more than
three
teams; 62 percent routinely collaborate with people from different or regions; 40 percent regularly
work with people who use
collaboration technologies and tools, and
people
who
use different
work
processes.
based collaboration meetings and ferences every week. laptops, cell phones,
more than
half
so.
sites
different
work with
Employees conduct 8,300 Web-
dial in to
roughly 19,000 audio con-
The group supports knowledge worker use of PCs, and PDAs, and
is
developing integrated solutions
118
Thinking for a Living
for “generic”
knowledge worker processes
—
and
tasks like arranging
conducting an asynchronous meeting or managing a project. Deliverables
from the
first
phase of eWorkforce
(just
concluded
as
I
write)
included a consolidated collaboration platform, a standard project-
management
platform, next-generation meeting management,
generation presence availability)
and
(graphically indicating presence
and
instant messaging. In this phase, Intel also addressed
the development of
methods
management
first-
common
for collaboration
processes and the use of best
known
and group work.
These leading-edge organizations were making heavy use of emerg-
commu-
ing technologies such as instant messaging, PDAs, handheld nicators,
and shared document
repositories.
wasn’t just on technology, but also on
hind the success or erally
failure
use and the
human
issues be-
of technologies. These companies were gen-
making some attempt
to
Informatics and Knowledge vartis’s research
its
However, their focus
change user behaviors and cultures
Management
organization within
Knowledge Culture.” Others were using technology
itself to
specialists
No-
guide the
changes in behavior. The support groups for individual users
were not
the
Head of
group, for example, had created a “Global
firms, like Intel’s,
—
at these
by type of technology, but had
a
holistic focus.
Other companies we interviewed were facing challenges with personal information and knowledge and were aware of them, but hadn’t yet formulated a holistic response. to a focus
I
view them
as
being “on the road”
on personal information and knowledge management. They
were using some of the same emerging technologies edge organizations, but the usage was
less
as the leading-
monitored and managed.
There was a strong orientation to technology products
as a
dealing with personal information (“Our major project
from Lotus Notes
to Microsoft Outlook”), but less focus
is
means of changing
on the use of
those tools. There was generally no holistic support group for users of
personal information, but in several cases a
community was beginning
119 Developing Individual Knowledge Worker Capabilities
to
emerge across the relevant functions. In
several cases,
some major
technology or business issue seemed to be preventing a focus on individual productivity, but discussion of productivity at a broader level
was taking place within the company
The companies
in the third
group were somewhat interested
in the
topic (or they presumably wouldn’t have taken the time to participate in the interview process), but
sues
had
—economic
some were primarily focused on other
survival, for example.
None of
is-
these organizations
important enough to
really identified individual productivity as
address with any seriousness, and generally did not recognize
as a
it
corporate issue. They had no formal group to support even the basics
of knowledge management or individual information use.
What
sup-
port they did provide to individual users was very fragmented by tech-
nology type.
Little training
or education was offered to users, and what
was offered was product-specific. These organizations made
little
use
of emerging technologies for personal information and knowledge or
even discouraged their use; several specifically banned instant messaging, for
example. Several stated apologetically that “we
be doing more in
made
this area,
but there
is
just too
much
know we should
else
going on,” or
similar remarks.
Measuring and Increasing Individual Performance The
early adopters’ focus
on
individuals wasn’t just a technology issue,
but also involved an emphasis on productivity. ductivity tools
and approaches, however, were
nomic motivation was surveyed
—even
certainly present.
the successful companies
Some
necessary pro-
lacking, although eco-
Many
—were
organizations
we
facing lower margins,
reduced headcount to do the same work, and so forth. Most had some corporate orientation to increasing knowledge worker productivity,
and technology and messaging
tools
were seen
as vehicles to that end.
120 Thinking for a Living
However, several firms complained that there were no good approaches to the measurement of productivity Several managers ductivity
(e.g.,
commented
implement
a
at the individual level.
that the “time saved”
new
tool,
approach to pro-
and save thirteen minutes per
day per knowledge worker) was no longer credible in their organizations. Productivity
as yielding
improvements
were viewed
at the individual level
only incremental benefits, and for companies not on the
leading edge, such investments couldn’t compete with other categories
of needed spending.
had
Several firms
a strong “self-service”
approach
to getting func-
whether
tional tasks accomplished, but a few respondents questioned
that strategy
was
work
just shifting
measure the impact. For example, perform
ers to
all
their
to points
if a
own human
where
it
company begins
is
difficult to
to ask
its
work-
resources transactions (choosing
benefits providers, changing addresses, checking vacation balances, etc.),
but
HR
the cost reductions in the
function can easily be measured,
how does it affect the worker’s productivity? This problem
be studied in
much
greater detail to determine whether
it’s
needs to
really help-
ing organizational performance. In order for firms to begin improving the
management of personal
information and knowledge, they also have to begin to change the behavior of users. There was considerable variation, even leading-edge organizations, about best be created.
As might be expected,
proach to behavior change
through the software ration
how
it
is
for example, Microsoft’s apelicit
workers, for example, should be handled by inter-
this as a
eWorkforce group, however, takes an ap-
proach centered on customized is
more human
some Microsoft people would view
fault in the software. Intel’s
Cisco
needed behaviors
the marketplace. All aspects of collabo-
Microsoft’s SharePoint collaboration software. If
ventions are necessary,
the
behavior change might
generally to try to
sells in
among knowledge
this
among
tools, process consulting,
primarily focused on training as a
and job
aids.
means of creating behavior
121 Developing Individual Knowledge Worker Capabilities
change. ferences
It is still
too early to understand the implications of these
and what might comprise
behavior.
The approaches of
been driven thus
far
a “best practice” in
really
There
is
more by the
company and
culture of the
by an empirical
also
little
consensus on
how
to
analysis of
segment information and
for differential treatment.
Most leading-edge
however, seem to recognize that they cant treat alike,
mentioned
the expe-
works.
knowledge workers
workers
changing user
these leading-edge organizations have
rience of the offering group, rather than
what
dif-
and are beginning
Intel’s
all
firms,
their information
segmentation approaches.
to create
segmentation approach in chapter
At
2.
I
least three
other organizations have an implicit or explicit segmentation by role identifying particular roles
enough
to justify
and jobs
an aggressive
that were
effort to design
an information and
Some
other organizations,
knowledge environment around the
role.
including information storage leader
EMC
pany
and the engineering com-
MWH Global, are creating a taxonomy of roles within their orga-
nizations so that information role-specific basis with
Xerox, ties
numerous or important
among
others,
some
is
and knowledge can be
precision.
A
delivered
third approach,
on
a
employed by
the development or recognition of
communi-
of practice, and the creation of information and knowledge envi-
ronments that support those communities. As with behavior change, segmentation
proach works
is
in the early stages,
some
it’s
manager surveys confirmed
management
and those
attention. Firms that
in industries in
agement and knowledge
which
real,
and worthy of con-
make and
effective personal
sell
technology,
information man-
are critical to success, are believers in the idea
and are already addressing
moving
that at least
organizations, the problems and opportunities of personal
information and knowledge management are certed
not yet clear which ap-
best.
Overall, the information for
and
in that direction, or
it
with
initiatives.
Other firms are either
not doing anything
at
all.
No
matter
how
122 Thinking for a Living
advanced on the
issue,
almost
all
companies are encountering
issues of
productivity measurement, behavior change, and user segmentation.
Information User Findings information manager survey showed that companies vary
Just as the
widely in their approaches to personal information and knowledge
management, our Web survey of information users
also revealed a high
degree of variance with regard to these issues. The intent of this survey
was
to discover the behaviors
and
attitudes of typical users of informa-
tion technology at work, with particular emphasis
information distribution technologies. These
on messaging and
activities are
obviously
of importance to individuals and firms, since, as already noted, the av-
more than
erage person interviewed spent
— and
day
There
it is
is
likely that these
also
no doubt
that
numbers
will
some people
of several questions in the survey
—saw
three hours
on them each
only increase over time.
—about 20 percent on each
a substantial
problem with
their
personal information and knowledge management. This fraction of individuals
felt
overwhelmed by
their information flow,
saw too much
use of e-mail in their organizations, and viewed e-mail and other technologies as hindering rather than helping their productivity.
On
each
of these issues the remaining 80 percent saw no real problem, although there were considerable differences in
how much
information they
ceived and the media they used. Overall, few respondents
up
their It
give
messaging technologies, but some were frustrated with them.
may be
nology
would
is
surprising to see just
how much
information and tech-
used by the respondents of our survey. The average user in
the survey: •
re-
Spent 3 hours and 14 minutes a day using technologies to process work-related information
—
just over
40 percent of an
8-hour workday (see figure 6-2 for allocation)
123 Developing Individual Knowledge Worker Capabilities
•
Devoted
1.58 hours/day to e-mail (45 percent of the information
processing [IP] time, and 20 percent of an 8-hour day) •
Spent 47 minutes, or 24 percent of IP time, on telephone, conference
•
calls,
and voice mail
Received 44 e-mails daily (4 people said they received around
500 a day!) •
Sent 17 e-mails daily
•
Had more
•
Received 16 instant or text messages a day (for respondents using this
than 3 e-mail accounts
technology) got 7.6 voice mail messages
•
Received 18
•
Participated in 2.75 conference calls a
FIGURE
calls,
placed 15
calls,
week
(if
any)
6-2
Average percentage of information processing time spent on each medium (based on average hours spent)
124 Thinking for a Living
FIGURE
6-3
Percent of typical users (N=439) using each
All
medium weekly*
use e-mail on a weekly basis.
The respondents’ use of
different
messaging and information
dis-
tribution technologies also varied widely. Figure 6-3 displays the fre-
quency of use of the various media. User attitudes toward their personal information flow and various
media revealed further their information
differences. 17 percent felt
management and
flow, but this
appeared to be more
an issue of attitude than of volume of information. tion, this
overwhelmed by
On closer examina-
group didn’t receive more e-mails than average and didn’t
spend more time processing work-related information during the day. However, they felt
that e-mail
felt
was
they were less
less likely to believe that
managing information. in control
less effective at
managing information,
valuable to their work, and were substantially
they received help from their organization in Just
under half of the sample, 49 percent,
of their information
management and
flow.
felt
125 Developing Individual Knowledge Worker Capabilities
Despite their complaints about personal information management,
sample
this is,
many
illustrates
felt
less effective.
but also to the
The
—
that
more
informa-
effective at personal
others they knew; only
1
1
percent
felt
they were
This finding speaks not only to the self-confidence of
tion environments.
invisibility
of
how we manage
our
own
informa-
We simply don’t know how other people do
it.
overall lack of orientation of users to personal information
management
We
that they were
management than
users,
effect”
believed they were better than average. Forty-one percent of
our respondents tion
Wobegon
Garrison Keillors “Lake
is
suggested by an open-ended question in our survey.
asked respondents what one thing they would change in their per-
sonal information environments, and then categorized the responses.
The most common responses were “nothing,” with 16 “don’t know,” with 13 percent.
percent would reduce
Among more
spam or pop-up
ads,
The
large
and
number of uninformed responses
viduals have not thought very
much about
The survey tions helped
them manage
most
this issue thus far
own
indi-
—and
personal informa-
suggested.
what degree
4
their organiza-
their personal information flow. Forty-one
percent said that they received tions in
limit
idiosyncratic to report.
—which other researchers have
also asked respondents to
would
7.5 percent
suggests that
that they have probably underinvested in their
tion environments
and
substantive responses, 11
amount of e-mail. Other answers were too
the
percent,
little
or no help from their organiza-
managing personal information; only
3 percent felt that their
organization had completely mastered the problem of personal infor-
mation management. This confirmed nizations have a long
of
way to go before they have
may
issues.
However, individuals
and
since they aren’t getting
can,
in the
my expectation feel that
much
that
fully dealt
with
they are doing
this set all
they
help from their organizations,
absence of any direction or contrary evidence, they
are doing fine.
most orga-
may feel they
126 Thinking for a Living
Attitudes Toward Specific
Media and Technologies
E-mail was one of the most frequently used media in the study, and
one of the most problematic
also
sample, 26 percent 10 percent
felt it
felt
received
level, 21
and
very or extremely valuable to their
their
percent
felt
it
was being
overwhelmed by
sent, 41 percent felt that e-mail
was
work performance, and only 4 percent
was not valuable. Although 15 percent
work
their organizations;
was underused, and 64 percent believed
amount of e-mail
felt it
terms of negative attitudes. In our
was overused by
that e-mail
properly used. At the individual the
in
productivity, 53 percent
felt
that
felt
that e-mail diminished
increased
it
it.
On balance,
the responses of the users were positive about e-mail, but less positive
than for some other messaging and information distribution technologies.
For the roughly 20 percent reporting a significant problem with
e-mail, the key question
or they are just
is
whether they are
more conscious of its
ineffective at
titudes than about e-mail,
—
elicited
amount of telephone 49 percent, to their
felt
calls
—
actual telephone calls,
somewhat fewer negative
and somewhat more
Only 12 percent (versus 21 percent
it,
negative effects than others.
Survey questions involving the telephone voice mail, and conference calls
managing
for e-mail) felt
and messages they
at-
positive attitudes.
overwhelmed by the
received.
Almost
half,
or
telephone information to be very or extremely valuable
work performance
—
8 percent
dents assessed the impact of telephone
more than calls
for e-mail.
and messages on
Respon-
their pro-
ductivity similarly to that of e-mail, with 15 percent concerned that the
telephone diminished their productivity, and 50 percent believing
enhanced felt
their productivity.
About the same percentage (14 percent)
that voice mail diminished their productivity; 40 percent (10 per-
cent less than telephone
calls) felt
it
enhanced productivity. Only 4 percent
were overwhelmed by the number of conference in,
it
but a relatively low percentage (35 percent)
were very or extremely valuable to their work.
calls
felt
they participated
that conference calls
127 Developing Individual Knowledge Worker Capabilities
was apparently
Instant messaging (IM)
still
an emerging
medium
Among our respontheir organizations. Among
for this sample, with lower overall perceived value.
dents, 56 percent didn’t yet have
those
who
IM
use in
used the technology, 29 percent
felt
that
sages were very or extremely valuable to their
IMs and
text
mes-
work performance
substantially less than for e-mail or telephone-based technologies. slightly higher percentage
than for other technologies (18 percent of
those
who use IM)
felt it
enhanced productivity
felt
A
that
it
diminished their productivity; 35 percent
—
again, lower than for other technologies.
Perhaps the most popular technologies were those involving infor-
mation and knowledge “pull” rather than “push.” These are corporate
Web sites, information portals, and document sharing systems. Those who used these tools reported low levels of being overwhelmed (4 percent)
and diminished productivity
(4 percent), with high levels finding
these technologies very or extremely valuable (47 percent for corporate
Web
sites,
tivity
enhancement
enhanced
and 64 percent
for
Web
document sharing
for
document sharing systems) and produc-
(4 percent report sites;
diminished productivity, 50 percent
3 percent diminished, 67 percent
systems).
The
positive reaction to
enhanced
document
ing was the highest for any technology in the study. As the
for
shar-
amount of
information in organizations continues to proliferate, these technologies are likely to
become even more
Strategies for The survey
popular.
Managing Information
also included questions
on how
these information users
were coping with the types and amounts of information they received.
The majority of respondents reported using
specific
approaches to limit
or control their personal information. These varied by technology. For
example, the strategies respondents employed for dealing with e-mail are illustrated in figure 6-4.
*
128
Thinking for a Living
FIGURE
6-4
Percent of typical users (N=439) employing e-mail
management
strategies
Check
e-mail frequently
Skip/delete generic
c/>
messages