HD28
Dewey
WORKING
PAPER
ALFRED
P.SLOAN
SCHOOL
OF
MANAGEMENT
Kevin
Crowston,Thomas W.
Malone and
Felix LinMIT
Sloan SchoolofManagement
MASSACHUSETTS
INSTITUTE
OF
TECHNOLOGY
50
MEMORIAL
DRIVE
/
Cognitive
Science
and
Organizational
Design:
A
Case Study
of
Computer
Conferencing
/
Kevin
Crowston,Thomas
W
Malone and
Felix LinMIT
Sloan SchoolofManagement
To
appear inthe ProceedingsoftheConference onComputer-Supported
Cooperative Work, Austin, Texas,December,
3-5, 1986L!8RAR!':3
^JvIAR 1
8
1937
Abstract
Many
researchershave
investigatedand
speculated about the linkbetween
information technologyand
organizational structurewith verymixed
results. Thispaper suggeststhat part of the reasonforthese
mixed
results is the coarseness of previous analyses of both technologyand
structureThe
paperdescribesa
new
and
much
more
detailed perspectiveforinvestigatingthis link.Using
conceptsof object-oriented
programming
from
artificial intelligence, the information processing thatoccurs inorganizations is characterized in termsof the kinds of
messages
peopleexchange and
theways
theyprocess those
messages
The
utilityofthis approachisdemonstrated
throughthe analysisofacase inwhich
a reduction in levels ofmanagement
is coupledwith
the introduction of acomputer
conferencing
system
The
detailedmodel
developedforthiscase helps explain both macro-level data about thechanges
in the organizational structure,and
micro-level data about individuals' use of theIntroduction
Since soon after the invention of
computers,
researchershave attempted
to investigate therelationship
between
information technology(IT)and
organizational structure. For instance, aslong agoasin 1958, Leavittand
Whisler predicted thatITwould
lead toadramatic reductioninnumbers
of middle
managers.
Recently there hasbeen
a flood ofarticles in thepopular
business pressdescribing individual organizations
where
the introduction of ITseems
to be associated with large organizationalchanges
(BusinessWeek,
1984, 1985).We
are thus apparently beginning to see theeffectsofIT,butasyet
we
understandthem
only vaguely.Our
researchinvolves anew
perspective toinvestigatethis link.The
technique analyzes informationprocessingin organizationsina
much
more
detailedway
thanmost
previous work.Using
conceptsof object-orientedprogramming
from
artificial intelligence,we
characterize the information processingthat occurs in organizations in terms ofthe kinds of
messages
peopleexchange
and
theways
theyprocess those
messages
The models
thatcan bedeveloped usingthese object-oriented conceptshave
more
ofthe precisionand
flavourofcognitive science theoriesthanmost
previousmodels
basedon
theinformation processing viewof organizations.
We
begin witha reviewofthe literatureon the impactofIT onorganizations, fromwhich
we
developa
new
information processing approach totheproblem.The
utilityofthistechnique isdemonstrated
throughthe analysis of a case, one in
which
a reduction in levelsofmanagement
iscoupled with the introduction of acomputer
conferencing system.The
model
developed in this case agrees with data about thechanges
in the organizational structure, qualitativecomments
aboutchanges
injob rolesand
detailed analyses ofmessage
contentsWe
conclude by sketching possible future directions forresearchusing ourperspective.
Literature
Review
Studies
ofIT
and
Organizational Structure
Many
researchershave
investigated the linkbetween
information technologyand
organizationalstructure.
There
seems
to be a general expectation that IT can eliminate levels ofmanagement
(Whisler, 1970), as originally predicted by Leavitt
and
Whisler (1958).The
popular press is filledwith anecdotes about firms that have
reduced
thenumber
of theirmiddle
managers
using
IT(Business
Week,
1984), but the empirical evidence is contradictory (Atwelland
Rule, 1984).The
although centralization is seen
somewhat more
often (Robey, 1981,Rowe,
1984; Atwelland
Rule, 1984; Carter, 1984;PfefTerand
Leblebici, 1977). Carter(1984) pointsoutthat studiesconductedpriorto 1970 favour centralization,
and
those after, decentralization,suggestingan
increased familiaritywith or
improved computing
technology. PfefTerand
Leblebici (1977) note that smaller firms areusually
more
centralized,and
that ITmay
indirectlycause centralization by reducing thenumber
ofworkers. Predictions of IT-induced
unemployment,
usuallyofclerical or production workers,have
been pessimistic (Atwell
and
Rule, 1984), but these studieshave
anumber
ofmethodological
problems that
make
firm conclusions difficult.The
evidenceregarding
deskilling versus jobenhancement
is mixed, although "mostworkers
surveyed regard thenew
technologies in a positivelight" (Atwell
and
Rule, 1984: 1187).A
number
ofstudieshave
shown
that ITcanchange
work
roles (ZubofT, 1983a; Fosterand
Fiynn, 1984;Mohrman,
1982; PfefTer, 1978; PfefTerand
Leblebici, 1977). Fosterand Flynn
(1984), for example,showed
achange from
hierarchically-based tocompetency-based roles in theirstudy of the impact of a teleconferencing system. IT generally
seems
to increase the level ofcommunication
in organizations(Freeman,
1984; Sanders,Courtney and
Loy, 1984;Foster
and
Flynn, 1984), althoughRobey
(1981) foundmixed
results concerning the effect on lateralcommunications.
Limitations
Limited
view of causalityThese ambiguous
conclusionsseem
to indicate that there aremany
contingent factors thathave
not been included in past analysesand demonstrate
theweakness
ofcurrent theories for analyzing such efTects
One
limitation of past approacheswas
pointed out byRobey
(1983)and
further discussed byMarkus
and
Robey
(1986).These authors
note that organizations are designed to achieve certain goalsand
that these designs include the information systems as well as the formal organizational structure Neither directly causes the other; rather,bothareintendedas solutionstoperceivedproblems. Studies thatviewIT as acauseof
change
rather than one ofmany
factors that enablechange
may
therefore find inconsistent results. For example,Robey
(1983) notes instanceswhere
asystem
was
introducedaftera reorganization. Inthese cases, IT clearlycannotbe the causeofthechange; however,theremay
still be a linkbetween
the two,which
alesscausal
and
more
"interactionist" analysismight
illuminate.Scattered results.
A
secondproblem
with the existing literature is that results are scattered.Although
IT is likely tohave
multipleefTects,many
studieshave
focused on only a single aspect of organizational structure.With
no theorypredicting multiple efTectsand
fewcomprehensive
studies,Blunt measures.
A
finalproblem
is the use ofvery blunt measures. IT (orinformation, uncertainty, orcommunication)
is often viewed as abinaryvariable.At
best, the totaldollar investment in IT ismeasured, as if every dollar spent or every application
had
identical effects.Information
and
interaction are also grossly measured.
As Freeman
(1984: 205) notes, "structural studies of socialnetworks
tj^pically ignore the content ofthe relationsunder
examination;we
act as ifwe
expect tofind
some
universal structural laws thatcan be applied equally well to friendshipand
to corporateinterlocks".
Walker
(1985), in a studyofthecommunication
patternsofa softwarefirm,showed
that therewere
differentnetworks
for technicaland
administrative information, againdemonstrating
thatdifferentkindsofinformationare treateddifferently.Information
processing
theoriesThe
solution tosome
of theseproblems
is toexamine more
closely the linkbetween
ITand
organizational structureTo
do this, however,we
need a theory inwhich
the effects of IT aremore
easily interpretable
For
this purpose, the information processing (IP)view
of organizations(Galbraith, 1974, 1977;
Tushman
and
Nadler, 1978)seems
likely tobefruitfulTushman
and Nadler
(1978:292) outline three basicassumptions
ofIPtheories: organizationsmust
deal with work-relateduncertainty; organizations
can
fruitfully beseen
asinformation
processing systems:
and
organizations can be
viewed
ascomposed
of sets ofgroups ordepartments
(which they refer to as subunits,and which
we
will call agents). In this view, organizational structure is the patternand
content ofthe information flowingbetween
the agentsand
theway
they process this information.The
IP view has a major, although as yet mostly unexploited advantage, for investigating possibleeffects ofIT, sinceitdirectly includes
what
ITcando: process information.IP theories oforganizations
grew from
the "Carnegie school" ofdecisionmaking
(March and Simon,
1958;Cyertand March,
1963),whose
authorsattempted tomodel
how
organizationsmake
decisions.They
noted such key factors as the limited rationality ofhuman
beings,which
ledthem
to considerexplicitlythe
way
peopleand
organizationsgatherand
processinformation. Theiranalysis, however,emphasized
factorssuchas the steps involved indecisionmaking,
and
did not focusmuch
atallon
theamount
and
kinds ofcommunication between
differentagents Galbraith (1974, 1977)expanded on
their work, explicitly consideringan
organization'sneed
to process informationand
reduce
environmental uncertainty,
and
strategies bywhich
itcouldachieve thisgoal.Tushman
and Nadler
(1978) hypothesized that different organizations face different levels of uncertaintyand
thatan
organization's effectiveness
would
depend
on the fitbetween
its information processingcapacityand
model
holds promise as a tool for theproblem
ofdesigning organizations"(Tushman
and
Nadler,1978:300).
Limitations
The
limitations of these theories are similar to those ofpreviously discussed.The
major problem
isthat the concepts discussed in these studies are still very aggregate. Galbraith
and
Tushman
and
Nadler
treat information almost like a fluid,and
uncertainty, its lack.An
organization's structurethenislike
plumbing
thatdirects theflow ofinformation towhere
it isneeded
toreduce uncertainty.Such
general factors are, asGalbraith notes, very difficult to measure, as it is unclear, forexample,
exactlywhat
isand what
is not information.Such
simplificationsare useful forgeneral studies, but permit only very general conclusionsA
more
detailed analysiswould
attempt to characterize the content of themessages
thatcomprise theflow ofinformationand examine
the processing that thesemessages
require.The
needforgreaterdetailwas
anticipatedby Galbraith,who
noted,"todetermine
uncertainty, therequiredtaskinformationmust
be defined" (Galbraith, 1977: 37).Toward
More
Precise
Information Processing
Models
Our
perspective attempts tomake
such a finer analysis.One
of themethods
other information-processing-based disciplines use to gain insight intocomplex behaviours
is toimagine
how
acomputer
could beprogrammed
to reproduce them. In cognitive psychology, for example,computer
modelsoflearningor
memory
have been
usedtomake
theories abouthuman
information processingconcrete
and
to generate further empirically testable hypotheses.The
organizationalmodels
developed using ourperspectivearesimilarinflavour
and
purpose.Like
many
earlier IP theories,we
treat the organization as a collection ofintercommunicating
agents. Inaddition to lookingfor the presence ofinformationor uncertainty, however,we
attempt toidentify the content
and
purpose of themessages
beingexchanged and
the actions that thesemessages
trigger in the agents.Models developed
using our technique are thus similar to aprogramme
written inan
object-oriented language (Goldbergand
Robson, 1983; Stefikand Bobrow,
1986), since they specify the different classes of agents, themessages
they understand,and
theprocessing they do for each
message
By
modelling these features ofan
organization's informationprocessing capability,
we make
concrete ourassumptions
about the organization,and can
more
quickly
examine
theeffectsofchanges
in itsstructure or inthe technolog>' used. In particular, these detailedmodels ofcommunications
and computation
are especially useful for analyzing directly thechanges
that information technologymay
allow in the costsand
capabilities for organizational informationprocessing.One
criticism ofthis sort of analysis is that it is rather mechanistic.We
model
the organizationsimply, focusing on the pattern of
communication and
the types ofmessages
sent.While
thesesimplificationsallow us to
model
computer systems
quite accurately, they clearly do not address allaspects of
human
organizationsTo
include all features of organizations, however,would
make
ouranalysis hopelessly complicated. Furthermore, our simple theories do not
have
any
particularadvantage
for analyzing issues such as power,opportunism
or satisfaction.Although
we
do notconsider suchfeatures unimportant, omitting
them
and
concentratingon those featureswhich
seem
easier to
model
makes
it possiblefor us toderiveunambiguous
conclusions,which
may
still explainsubstantial parts ofthebehaviourofthe organizations
we
study.Example:
The
taskassignment problem
To
illustrate our perspective,we
will present a specific model, themodel
of the taskassignment
problem
developed byMalone and Smith
(1984)and
further e.xpanded byMalone
(1986)The
model
describes an organization inwhich
tasks arise thatmust
be assigned to "processors" (persons,machines
or combinations) to be performed.The
tasksmay
in turn becomposed
of subtasks,and
different tasks or subtasks
may
require processing by specific classes of agent.For
e.xample, amanufacturing
organizationmay
receive orders for a product, the subparts ofwhich
must
bemanufactured
by one division,assembled
by another,and
shipped by a third.An
organization toprocess taskscan
have
anumber
ofpossible structures; foursimpleonesareshown
inFigure 1These
fourorganizations are simpleforms of
what
inhuman
organizationswould
be called, respectively, a functional hierarchy, a product hierarchy, a decentralizedmarket and
a centralizedmarket
withbrokers.
These
structuresare clearlymuch
simplerthan those ofany
real organizationsHowever,
they serve as analyticbuilding blocks withwhich
largerand
more complex
organizations can be described.As
inmany
other sciences, studyofsuch extremely simple formsmay
produce results that aremore
easily interpretable thanthose for realisticmixed
forms,and which
still offer insight intomany
real worldsituations.
Agents
and
messagesThe
agents in these organizationscommunicate
by sending each other messages. Again, forease of analysiswe
reducecomplex
behaviours to theminimum
set ofmessages
necessary toperform
thefunction.
Messages
observed in real organizations,however, can
often be interpreted in thisframework
The
simplestprotocol isfollowed inthetwo
hierarchical organizations, amanager
withDoTask
message.When
the subordinate finishes the task, itnotifies themanager who
assigned the taskby sendingaFinishedTask
message.Note
that theagent towhom
the taskwas
assignedmay
inturn
decompose
ordelegate it; forexample,the middlemanagers
insome
organizations areassignedtasks,
which
they inturnassign totheirown
subordinates.The
differencebetween
the two hierarchies is the level atwhich
the task is decomposed. In the functional hierarchy, the generalmanager
atthe top of thehierarchydecomposes incoming
tasksand
assignseach subtask tothe appropriate functionalmanager,
who
in turn assignsit to a subordinate.Each
functional division is specialized toperform
a single type oftask. In the product hierarchy, the divisions are splitalong geographical or product lines rather than by function,and
each division istherefore self-contained
Tasks
arrive at the appropriatedivisionand
themanager
of that divisiondecomposes
thetaskand
assigns thesubtask totheappropriatefunctional specialists inthedivision.Markets
add anotherset ofmessages
tocontrol a manager'schoiceofsubordinateA
manager
witha task to bedone
(a buyer) requests bids by broadcasting aRequestForBids
(RFB)
message;an
agentwho
isinterested in doingthe task (aseller) then responds withaBid message
The
manager
chooses(by
some
criteria) the best bidfrom
those received,and
assigns the task to that agent, using the protocol presented above In a decentralized market, themanager
will solicit bidsfrom
all of theagents in the
market
capable ofdoing the task In a centralized market, themanager
may
simplycontactasmaller
number
ofbrokers with"subordinates"capableofperforming
thetask.A
summary
of the different agent types, themessages
they understandand
the actions they take onreceiving these
messages
isgiven in Table 1. It shouldbe noted thatsome
ofthese descriptions areincomplete For example, Seller agents are described as understanding only
RFB
messages.These
rolesdonot stand by themselves,but are rather usedto
supplement
others For example,combining
the description of a Seller with thatofaProcessorgivesan appropriatedescription for a Processorina decentralizedmarket,combining
a Sellerand
a FunctionalManager,
thedescription for aBroker ina centralizedmarket
(seeTable2).Comparing
organizationalformsEach
ofthese different organizational forms iscapableofperformingthetasks.They
differ, however,inother properties, such ascost (the
number
ofmessages
thatmust
beexchanged
to assign the taskand
theamount
ofprocessing thatmust
be done)and
flexibility (the responseofthe organization tothe possible failureof
some
agent). For example, assigninga taskina functionalhierarchy issimple: themanager
simply sends the task to the division responsible for that type of task In a market, theprocess the bids
and
assign the task Ifoneof themangers
inthefunctional hierarchyfails, however,the entire organization will be disrupted, because no
work
can bedone
without that division If aseller ina
market
fails, itwill simply not bidon tasks,and none
willbe assigned to it.The
additionalcost of the
market
isbalancedby itsincreasedflexibility. DifTerentorganizations willmake
differenttradeoffs
between
thesecosts,depending
ontheirenvironment
and
their needs.A
queueing
theoryanalysis of the diiTerent simple organizations is presented byMalone and Smith
(1984)
and Malone
(1986)The
totalcosts of the difTerentorganizationalforms depend
on anumber
ofparameters, suchas the costofsending a
message
or ofsearching for a supplier.These parameters
may
be settoappropriate valuestosimulateexistingorganizations, or modifiedto identifytheeffectsof the introduction of IT For example,
an
electronic mailsystem
may
reduce the cost of internalcommunications;
an
electronic market, the cost ofsearching for a supplier (Malone,Benjamin and
Yates, 1986). Eitherchange
might
shift the tradeoff,making
market-like organizationsmore
desirable.
As
Malone
(1986) shows,thismodel
isconsistent withtwo
kindsofempiricalobservations, generalizationsfrom
previouswork
on organizational designand
majorchanges
in the structures ofAmerican
businesses overthe lastcentury,suchas are discussedbyChandler
(1962).Advantages
An
integrativeapproachOur
theory hasseveraladvantages
forstudy inthe areasitaddresses First, itoffersan integratedframework
forstudyingorganizational structure. Inprevious studies,differentaspects oforganizational structure
had
unrelated definitions,drawn
from
many
difTerent referencedisciplines,
and
itwas
unclearhow
the different effects fit togetherOur
theory provides coherentdefinitionsfor
many
ofthese aspects, based on the fiow ofmessages
The
different setsofmessages
exchanged implement
different organizational processes.The
structure is the pattern ofmessages
exchanged, that is,
which
agents arecommunicating and which messages
they send.The
set ofmessages
towhich
a given agent responds,and
the processing it therefore does, can be seen as that agent's roleWith
these definitions,we
can begin to assess the linkbetween
ITand
thewhole
structureofan
organization.Measurement.
Since organizational structureis definedin terms ofmessages
sentand
received, it isalso easier to
measure
these different aspects.The
IP view provides aframework
to guide thecollection
and
interpretation of thenecessarydata.The
view suggeststheexamination
of the sourcesand
users of data, the types ofmessages
sentand
received,and
the actions agents takewhen
theyreceive certain
messages
Existing techniques, such asnetwork
analysis,may
be used to reveal the pattern ofcommunications
A
protocol analysis of tasks can bedone
byexamining
the contents ofa person's "in box"and watching
as they readand
acton themessages
in it (e.g.,Malone
et al, 1986).8
Sometimes messages
sent usingacomputer system
can be unobtrusively collectedfor later analysis.McKenney,
Dohertyand
Sviokla (1986)performed
suchan
analysis in a software firm, tracing the flow ofmessages and drawing
flowchartstodescribe theprocessing involvedincertaintasks.Organizational simulations Finally, the IP view suggests
and
facilitates the use oforganizationalsimulations. Simulations
have
at leasttwoadvantages
forresearch thatmake
them
desirable in thisarea. First, simulations require that
assumptions
bemade
explicit,making them
easier to seeand
the resultsofchanging
them
easier to test Second, simulationsmake
it possible toanalyzesystems
thataretoocomplex
foranalytic solution.An
Example
Case
To
testand
further develop this perspective,we
attempted to apply it to the analysis of a real organization.We
examined
anorganizationalchange
thattook place inonepart of a large electronicsmanufacturing
firm,which
we
will refertoas the ElectronicManufacturing Firm (EMF)i.
Thiscasewas
selected because itappeared
to be one inwhich
an
important organizational structurechange
was
associatedwiththe introductionofIT-inthis case,acomputer
conferencing system.Methodology
We
developed amodel
oTthe organization inan
iterative fashion, switchingbetween
data collectionand model development
The
construction ofeach
tentativemodel
revealed areaswhere
our understandingofthe situationwas weak,
thus focusing further investigationsWe
alsoattempted totest each
mode!
by looking for data thatwould
disconfirm keyassumptions
or predictions.To
conserve spaceonly thefinal
model
willbepresentedand
discussedThe
data for themodel
came
from
a variety of sources.Some
datawere
collected in face-to-faceand
telephone interviews
conducted
withknowledgeable
individuals in theorganization
("keyinformants")
between
April1985 and September
1986. Thiskey
informantmethod
is limited, in thatit reliesheavily
on
retrospection For instance, individualsmay
remember
detailsincorrectly or giveanswers
biasedbynew
informationor adesire tomake
agood impression.To
reduce theseeffects,we
interviewed a
number
ofpeople in different parts ofthe organizationand
attempted to resolveany
conflictingreportswe
receivedinfollow up interviews.We
also collectedmore
objectivedatatosupport our model. First,we
observed our interviewees usingthe conferencing system.
We
alsoexamined and
classified severalhundred
messages
stored in the1
The names
ofthe corporation, divisionsand
individualshave
beenchanged
toavoidrevealingthesystem.
Two
of the interviewees reviewed drafts ofthis paper for accuracyand
provided detailedinformation
about
the organizational structure beforeand
after thechange, including
theapproximate
number
and
jobgradesofpersonsateachlevelof the organization.History
The
organizationThe
organization discussed in this paper is theCompensation and
Benefits(C&B)
organization ofEMF.
The
C&B
organization is a part of the PersonnelDepartment
thatmanages
thecompensation
and
benefits policy (e.g.,pay programmes)
for the corporation.Because
EMF
is a decentralizedcompany,
theC&B
organizationisgeographicallyand
administrativelydispersed.Inthe partof
EMF
we
studied, therewere
originallytwo
divisions (see Figure 2)The
first, division "A",was composed
of fivegroups,each with an averageoffoursitesof500 employees
each(therewere
18 sites intotal).At
each level ofthe hierarchy-corporate,division,group
and
site-therewere
C&B
managers
who
reported tothe local personnelmanager,
and had
a dotted-line relationshipwith otherC&B
personnelat different levels In largesites,theremight have
been oneortwo
C&B
analystswho
reported directly tothe site
C&B
manager
The
sitemanagers
were
all at about thesame
job grade,whilethe
group
managers
were
atahigherlevel.The
seconddivision, "B",had
amore
centralized structureEach group had
a fewC&B
analysts, but only one had a groupC&B
manager.
Interms
ofjob grade, however,most
of the central staffmembers
were
about equal tothe division"A"
sitemanagers.
The change
In thefallof 1982, these twodivisions of
EMF
were merged.
The
C&B
manager
for thenew
division,John
Miller,feltthat therewas
"toomuch
buffering"between
the policymakers
atthecorporateleveland
the policyimplementors
at the sitesand
that as a result the organizationwas
not "generatingenough
new
ideas".Furthermore,
hefeltthatitwas
tooexpensivetomaintain
both the divisionC&B
managers and
the groupC&B
managers,
and
that IT could be used to eliminate the middle level ofmanagement.
Miller therefore initiated a
number
ofchanges
(see Figure 3). First, the old division staffswere
merged and
anew
groupformed
to handleC&B
for thenew
division.At
this time,C&B
managers
were
appointedforeachofthe groupsindivision "B". (Generallythesewere
C&B
analystsalready inthe group
who
had
been informally performing this role.) It should be noted, however, that a "B" group iscomparable
in size to a single"A"
site,and
that thenew
"B" groupmanagers
were
at the10
same
job level as the"A"
sitemanagers.
Second, with theagreement
of thegroup
personnelmanagers,
thegroup
levelofC&B
managers
indivision"A"
was
eliminatedand
themanagers
placedelsewhereinthe
company
Given
the similaritybetween
"A"
sitesand
"B"groups,thisleftthe entire organization with afairly uniform structure.The
transition to thisnew
structure took place duringthe
summer
of1983and
was
completedby September, 1983.The
use ofcomputer
conferencingIn the original organization, the group
managers
coordinated the 18 division"A"
sites,and
helped formulateand
distributenew
policiesand
answer
questions about existing ones. In the fall of1983,aftertheeliminationofthe group
managers.
Miller, thehead
ofthecombined
C&B
division,arranged
for the introduction of a
computer
conferencingsystem
to servesome
of these functions Itwas
intendedthat
some
communication between
the different parts of the organizationwould
take placevia thissystem.
The manager
responsible for the introduction of the system,John
Baker,
felt ithad
several advantages First, sincethe information inthesystem
was
available toeveryone in the organization, the corporate level stafTdid nothave
toanswer
thesame
questions repeatedly, ashad been
the casebefore. Second, the
system
sped upsome communications and
facilitatednew
interactions, bothlateral
and
vertical.Baker
alsocredited thesystem
with increasing feedbackfrom
thesitemanagers
on
new
policiesproposed by the corporate staffA
finalhopewas
thatsharing informationwould
leadtobetter
agreement on
what
thepolicieswere.An
Explanatory
Model
It is clear that no theory can capture all ofthe events associated with this
change
or explain everydetail of
what happened
Our
goal is thereforemore
modest
We
will simply use our modelling technique toshow
why
the elimination of thegroup
managers
and
the introduction ofcomputer
conferencing
made
sense in light oftheproblems
described,and
why
thischange
was
better than the other optionsconsideredNote
toothat this case isone inwhich
the organizationalchange
happened
before theintroductionof IT,and
bothwere
designed toaddressaperceivedproblem
withthe existing organizationAn
advantage
ofour techniqueis that itcan be usedto explain the fitbetween
the two, ratherthantheimpactofone onthe otherModel
developmentA
key step in themodel
building process is characterizing the function the organization performs11
the policiescreated at the corporate level. This process
might
becalled the policydevelopment and
application process{e.g., see Barber, 1985). Different policieswere
assumed
to be useful for solvingdifferentproblems.
The
model
developed for the original organization isshown
in Figure 4The
important paths thatmessages
follow are the hierarchical dotted-line relationships In this model, there aretwo
kinds of information:problems
and
policies.Problems
flow in at the bottomofthe hierarchy,where
the siteC&B
analysts seeand
attempttosolvethem
Policiesflowfrom
thetop,where
theyarecreatedby
the corporateand
divisionC&B
staffsEach
policy tells theC&B
peoplehow
to deal withsome
oftheproblems.
Problems
alsoflowfrom
the siteanalystsup and
correspond torequests forclarificationof a policy orforhelpin solving theproblem.Agents
and
messages
Based
on job descriptions obtained in the interviewsand
presented above, a very simplifiedand
somewhat
abstractmessage
protocolwas
developed tomodel
theway
members
of the organization handle problems.The
process starts with the receipt of aProblem
message
by a site agent. This agentiseither a site analyst ormanager.
Normally,
when
a siteagent gets aproblem
s/he looks forthe policy that covers the situation Ifs/he finds the policy, then s/he simply handles the problem. Otherwise, s/he resendsthe
Problem
message
to themanager
abovehim
or her, askingfor help. Ifasite or group
manager
is sent aProblem message
that s/heknows how
to solve, then s/he repliesimmediately by sending back
an
appropriate Policymessage
to the sitemanager,
who
then applies thepolicy;otherwise the processis repeatedThe
corporateC&B
managers
canalways
respond witha Policymessage, since they
know
all the current policiesand
can createnew
oneswhen
faced withnew
problems.Part ofthe process of policy
development
involves consultations with agents in other parts of the organization.To
model
this processtwo
additional messages,RequestForComments (RFC) and
Comment,
are used.The
corporateC&B
staffcan sendRFC
messages, towhich
sitemanagers
can
replywithComment
messages. Sitemanagers
may
also treatPolicymessages
as implicitRFCs
and
send
Comments.
Note
thatwe
do not attempt tomimic
the entire consultation process, but rather simplymodel
theminimum
communication
thatmust
take place.A
summary
ofthe agenttypes, themessages
they understand,and
the processing they dowhen
receivingamessage
is given inTable 3.(To simplify the terminology-,
we
usesiteanalystto refer toany
siteagent with nosubordinates.)12
Our
approach to modelling the use of thecomputer
conferencingsystem
is to simplychange
the pattern of linkages asshown
in Figure 5.Computer
conferencingcan
beused
either to storeinformation for later retrieval or to quickly disseminate it to individuals in the organization.
We
have chosen to
emphasize
the laterfunction In this model, everyone hasan
opportunity to seeand
respond to all messages. Note,
however,
that the basic function of the organizationand
thecapabilitiesof the individualagentsare unaltered-onlythe
communication
pathshave
been changed.Contentanalysis of
messages
One
form
ofsupport for ourmodel
comes from
a detailed analysis of asample
ofmessages from
theconferencing system.
From
one of our interviewees,we
obtained copies of 331messages
in four conferences, three complete ones containing a total of 202messages
about thedevelopment
and
implementation
ofnew
computer
toolsforsalarymanagement,
and
themost
recent 129messages
(outofatotalofabout 450) in the general "catch-all" group Inorder to protect the sensitiveinformation
discussed in
some
of the conferences, the three specialized conferenceswe
analyzed contained fewmessages
that related directly to theC&B
"business" of the organization.They
can, however, be interpreted as discussionsoftheimplementation
ofanew
policy,namely
thenew
salarymanagement
system.
Based
onthemodel and
apreliminaryanalysis of the messages,we
prepareddescriptions (includedinthe appendix) of the four expected classes of
messages,
namely
Policy,Problem, Request For
Comments
and
Comment,
as well as a category for othermessages
thatused
the broadcastcapabilities ofthe
system
(such asannouncements
of meetings,job openings,Christmas
greetings,and
soforth).The messages were
then readand
classifiedby fivegraduate students inmanagement,
none
ofwhom
were
aware
ofour hypotheses. Since codingmessages
was somewhat
time-consuming, onecoderreadand
classified every message; theothersclassifiedsome
ofthemessages
as acheck onthe first.
Each message was
read by at least two codersand
many
were
read by three.At
leasttwo
codersagreedon theclassificationof79%
(261) of the messages,and
only thesemessages
areanalyzedfurther.
The
results of the classification, presented in Table 4, tend to support our model.Most
of themessages
fellintooneofthe fourmessage
typeswe
expectedOf
the remainder,most
tookadvantage
ofthe capabilitytobroadcasttothe entireorganization.We
then used themessages
in the fourexpected classes to test one hypothesisfrom
themodel
about13
Most
Policyand
RFC
messages
willbe sent bydivisionC&B
staffmembers.
Most Problem and
Comment
messages
willbysentby
siteC&B
managers.
The
number
ofeachclass ofmessage,broken
down
by organizational location of sender, isshown
inTable 5.
The
distributionissignificantly differentfrom
thatexpected by chance (x^=
61.43, df=
3,p<? 0.005)
and examination
ofthe tableshows
the deviations to be in the direction predicted by the hypothesis,withtheexceptionofthenon-significant difTerenceforRFC
messages.Structuralchanges
Another
support for thismodel
comes from
its ability to explain the observed structuralchanges
byshowing
how
theimplemented changes
address the perceivedproblems
with the organization.We
examine
threesuchchanges
here.Elimination ofmiddle managers.
As
mentioned
above. Miller, themanager
largely responsible forthefinalchange,
had
two complaints about thepresenceofgroup
C&B
managers
in theorganization:(1) maintaining the middle level of
management
in Division"A" was
too expensive; (2) thegroup
C&B
managers
"buffered" the divisionand
corporateC&B
stafffrom
theproblems
being experienced bythesiteagents. Itis clear thateliminating thegroupC&B
managers
will help thefirstproblem
bydirectlyreducingthe payroll costsfor theorganization.
The
secondproblem
can be interpreted in theframework
of themodel
by noting that in the original organization the divisionmanagers
communicate
only withthe groupmanagers
and
never directly with the sitemanagers.
This hastwoeffects. First,the division
managers
neverreceiveProblem messages
directlyfrom
thesitemanagers,
but only indirectly through the
group
managers.
Second, the divisionmanagers
canexchange
RFC
and
Comment
messages
onlywiththe thegroupmanagers
and
not thesites, thus reducingthevariety(and perhaps
immediacy)
of thecomments
received Clearly,removing
the groupmanagers
willmake
bothofthesetypes ofcommunication
possibleand
thusshould reducethesense ofbuffering.Use
ofcomputer
conferencing After the divisionswere
merged
and
the division"A" group
managers
eliminated, however,
some
new mechanism
was
necessary to coordinate the 24 site levelmanagers.
Inan
interview. Miller, listedfouralternativeshe considered tosolvethisproblem
of a large "span of control":•
local peercommunication
(where one of the sitemanagers
would
be responsible forcoordinatingtheothersitesinhis orhergroup);
•
dividing the divisionstaffgeographically(witheachdivisionstaffmember
responsiblefor a differentgroupofsites),14
• large face-to-face
meetings
(where all sitemanagers
could hear theanswers
toeach
others'questions simultaneously);and
•
useofcomputer
conferencing (whereagainall sitemanagers
could see theanswers
to allquestions).
In terms of structure, these
changes
reduce to a choicebetween
some
varianton
the previoushierarchicalstructure
and
a market-likemeeting
structure,where
everyone isconnected toeveryoneelse in the organization. It
seems
clearfrom
ouranalysis that maintaining a hierarchical structurewill
maintain
theproblem
of lack offeedback to the corporate level, without affecting the ability of the corporate level to poll the sitemanagers.
This
suggests that a meeting-like structure ispreferable,eliminatingthefirst two alternativesconsidered.
Computer
conferencingwas
chosenas atechnology to drive the organizational
change
because itseems
tohave
a lower cost for day-to-dayoperations, although the interviews revealed that face-to-face meetings are also still held (biweekly
between
themanagers
inadjacent levels;quarterlyforothers).Increasein staff specialists
One
surprising finding of the casewas
thatthetotalnumber
ofmanagers
appearsnotto
have
gonedown when
thesystem
was
installed (seeTable 6).One
common
prediction is that increased use ofIT will lead to reduction in middlemanagement.
Such
a reductionseems
tohave been
a motive here, but, in fact, the totalnumber
ofpeople did not godown.
Instead, itseems
that people
were
removed from
groupmanager
positions in division"A" and
others of thesame
gradewere added
as staJTspecialists to the division stafT, while the oppositehappened
in division "B". In totaleffect,therewas
a centralization, withmore
staffand
decisionsmade
higherup
inthe hierarchy.Accompanying
this centralizationwas
a specialization, since the staffadded
at the corporate levelwere
responsible for specificprogrammes,
unlike the generalistgroup
managers
they replaced.Lawrence and
Lorsch(1967) note that such increased differentiation requires highercommunication;
similarly,Malone and Smith
(1985) predicted that cheapercommunication
could lead to the use offunctionalrather than productor geographic hierarchies, as discussed above.
The
centralizationand
specializationseem
tohave
beenmade
possible by the reduction incommunications
costand
thebroadcastcapability offeredbythesystem.
This findingsuggests that technology-induced elimination ofmiddle
managers
is actually a result oftwo
causes: the introduction ofsome
technology tomake
the elimination ofthemanagers
possible,and
a resourceconstraintmaking
such reductionsimportant. In theabsenceofresource constraints,management
resources that are no longer needed for mediatingcommunication
may
be applied toother tasks
such
asformulating
better policies.For
instance, onemanager we
interviewed15
increased. . . I don't really
know
ifsome
ofthose thingswould have
been tackled a few years ago; Idon'tthinkthey were".
Characteristics ofsystem usage
Our
model
also exhibits anumber
of features that agree well with our observationsand with
comments
made
by ourinterviewees.Job
enlargementforsite managers.Our
model
predictsachange
inthe role ofsitemanagers.
Beforethe introduction of the
computer
conferencing system, sitemanagers
neversaw Problem messages
from
their peers. Also because of the hierarchy, theywould
not seeRFCs
from
the corporate or divisionalC&B
managers,
and
sowould
not participate inpolicydevelopment. After the introduction of the conferencing system, however, sitemanagers
could receive both kinds ofmessages
and
couldsend Policy or
Comment
messages
in reply, thus taking amore
active role in the organization. Interviews withsome
ofthe division levelmanagers
indicated that suchan upgrade
inthe status ofsite
managers
was
in fact one ofthe goals of the organizational change,and
one that they felthad
been
achieved.System
usedfor broadcasting messages, not information retrieval.The
fact that thesystem
was
usedprimarily as a broadcast
medium
ratherthan
as a data basewas
confirmed
by anumber
ofbehavioural observations First,
most
people in the organization subscribe toevery conference theycan, instead of only the ones in
which
they are currently interested, a factbrought up
by themanagers
we
interviewedand
partially confirmed byexamining
themembership
list for several conferences. Second, a divisionC&B
manager
reportedthat hecheckswho
has read themessages
ineach conference
and
calls toremind
thosewho
are not caughtup
We
foundsome
evidence thatmessages
are rereadfrom
thesystem
only in special cases. For example,when
new
employees
joined theorganization, theywould
be told to read the oldmessages
in order tocatch up Also, at one point instructionsforthe useof anew
system were
made
availableon thesystem,butina separate file, not as aconferencemessage
Finally, thereseemed
to befewprovisions for searchingthe messages,and
managers
interviewedindicated that they rarely did that.These
observations supportourclaimthat thesystemwas
used primarilyas abroadcastmedium.
Conclusions
Using
our techniquewe
have
been able to develop amodel
that incorporates observations at twolevels
At
themacro
level, it ofi'ersan
explanation for the structuralchanges
that took placeAt
the16
messages
sent as well as the participants' impressions.We
believe that this twofold supporthighlights the
more
inclusivenatureofourperspective.Our
perspectiveseems
likely to be further applicable in two distinct ways. First, it is useful, asdemonstrated
by the case above, for explainingand perhaps
predicting the kinds ofchanges
associated with theintroduction ofIT.As
our review ofthe literature hasshown, studies using onlygross operationalizations of IT
have
only led to uninterpretable results. Studies basedon
amuch
more
detailed understanding ofthe use of ITmay
led tomore
generalizable results. This suggests performinganumber
ofcases studies of the sortpresentedhere,and
lookingforcommon
features.A
second use of thismethodology
was
suggested by
Tushman
and Nadler
(1978): design oforganizations.
A
prior analysis of this typemight
be used to identify the organizational processes thatcan beeffectivelysupportedand
the information systemsand
organizational structures thatwillbeuseful.
A
computer
simulation ofan organization, based on amodel
suchas thatdevelopedabove
couldbe used by a designer toquickly
and
easilyexperiment
withnew
organizational forms, predict theeffectsof differentkindsofIT.A
generaldesigntoolsuchasthiscould also be usedtoexamine
the properties of organizations that are not yet feasible,and
thus explore the potential of future17
Acknowledgments
This research
was
supported bytheCenterfor InformationSystems Research and
theManagement
inthe 1990sProjectatthe Sloan Schoolof
Management,
Massachusetts InstituteofTechnology.The
authorswould
especiallyliketothank
themanagers
at"EMF"
for theirgenerouscontributions of18
Appendix:
InstructionsforCoding Message
categoriesThe
codefor eachtype ofmessages
isgiven in italicsafterthe description.Note
thatsome
messages
may
havemore
thanone type (e.g amessage
giving apolicyand
asking about another policy). If so,please note all
message
typesBe
CAREFUL
to analyze thecontent
of themessage
rather than itsform. Forexample,
"Would
you sendme
documentation
tohelpme
withSystem
X..." isaPROB
and
not aRFC
Policy Pol
A
message
outliningsome
policyoranswering
aprocedural question, including capabilities or use ofa system.
NOT
amessage
giving acomment
oropinionaboutsome
policy or describingaproblem
withit.For example:
"TologintoSystem-X,type
'LOGON
<user>'
...""Plan
B
willnotupdatethedatabaserecords...""Don't use the
system
on Fridaysbecause...""To
answer
Fred's question,yes,we
doenter thatdata..."Comment
Com
A
message
giving acomment
on or opinion about a policy.Note
thatcomment
may
be in reply toPolicies as well as
RFCs
NOT
amessage
outlining apolicy oranswering
aproceduralquestion.For example:
"We
have
reviewedtheplanningpolicyand
suggestthefollowingrevisions...""Ishouldclarify
my
view..The
system
shouldverify...""To
answer
Jane's question, I agree,we
shoulduse a reviewboardfor..."RFC
RFC
A
message
askingforcomments
ona policyorsystem.NOT
amessage
askingforhelpimplementing
apolicy.For example:
"Pleasesenda note withthefollowing information..."
"Would
someone
tellme
how
youthinkwe
should handle .."19
Problem
Prob
A
message from
asiteperson askingthe stafTforhelpwith or for clarificationof apolicy.NOT
amessage
askingforcomments
on
apolicyorsystem. For example;"What
isthecontingencyplan...?""What
willhappen
tousunder
those rules?""Since
when
have
we
treatedCPR
teams
thatway?"
Other,
classified OtherA
message
ofoneofthe followingtypes;Personnel(e.g. "Please
welcome
Mary
tothegroup"or"Goodbye");Conference system related ie.g
branching
a group ordrawing
attention to anew
group
ormessage);
Announcements
ofjob openings;Personal (e.g.
"Merry
Christmas"),Thank
you'sforsome
answer,Meeting
ormeeting
attendanceannouncements and
questions (e.g."Can we
notmeet
on
Sunday''"; "No,we
have
tomeet
then "),Other,
unclassified20
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