Manajemen | Fakultas Ekonomi Universitas Maritim Raja Ali Haji joeb.83.6.347-354
Journal of Education for Business
ISSN: 0883-2323 (Print) (Online) Journal homepage: http://www.tandfonline.com/loi/vjeb20
Effects of Professional Experience and Group
Interaction on Information Requested in Analyzing
IT Cases
Constance M. Lehmann & Cynthia D. Heagy
To cite this article: Constance M. Lehmann & Cynthia D. Heagy (2008) Effects of Professional
Experience and Group Interaction on Information Requested in Analyzing IT Cases, Journal of
Education for Business, 83:6, 347-354, DOI: 10.3200/JOEB.83.6.347-354
To link to this article: http://dx.doi.org/10.3200/JOEB.83.6.347-354
Published online: 07 Aug 2010.
Submit your article to this journal
Article views: 12
View related articles
Full Terms & Conditions of access and use can be found at
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Download by: [Universitas Maritim Raja Ali Haji]
Date: 11 January 2016, At: 23:16
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EffectsofProfessionalExperience
andGroupInteractiononInformation
RequestedinAnalyzingITCases
CONSTANCEM.LEHMANN
CYNTHIAD.HEAGY
UNIVERSITYOFHOUSTON–CLEARLAKE
HOUSTON,TEXAS
ABSTRACT. Theauthorsinvestigated
theeffectsofprofessionalexperienceand
groupinteractionontheinformationthat
informationtechnologyprofessionalsand
graduateaccountinginformationsystem
(AIS)studentsrequestwhenanalyzing
businesscasesrelatedtoinformationsystemsdesignandimplementation.Understandingtheseeffectscancontributeto
thesuccessofthecollegeclassroomand
corporatetraininglearningenvironments.
Theresultssuggestthatastheamountof
professionalexperienceincreases,thenumberofinformationrequeststhatmatchthe
informationrequestsdeterminedbyamasterpanel(matchedanswers)alsoincrease.
Inaddition,highernumbersofmatched
answersbynoviceswereassociatedwith
beinginestablishedgroupspriortocompletingtheexperimentalcaseindividually.
Keywords:AISstudents,groupinteraction,
informationrequested,informationsystemsdesignandimplementation,unstructuredcases
Copyright©2008HeldrefPublications
T
hepurposeofthepresentstudywas
to determine whether membership
in certain types of groups can enhance
the quality of information requests by
novices analyzing realistic business
casesinvolvingunstructuredinformation
systemsdesignandimplementation.We
analyzedwhetherparticipants(noviceor
experienced) benefited from interaction
in established groups as opposed to ad
hocgroupspriortoanalyzingtheexperimentalcaseindividually.
Wefoundthatwithincreasinglevels
of professional experience, the number of information requests that match
the information requests of a master
panel(matchedanswers)alsoincreases.
This is consistent with prior evidence
thatmoreexperiencedprofessionalsare
better at information gathering (e.g.,
Lehmann & Norman, 2005; Schmidt,
Norman, & Boshuizen, 1990; Stevens,
Lopo, &Wang, 1996). In an extension
ofthispreviousresearch,wefoundthat
novicesinestablishedgroupshadhighermatchedinformationscoresthandid
novicesinadhocgroupswhencompleting the experimental case individually
afterextendedgroupinteraction.
Theresultsofourstudyhaveeducational and training implications. First,
ifresearchersandeducatorscanunderstandhowprofessionalsevaluateasituationandrequestinformation,educators
will be in a better position to structure
the college classroom experience and
the corporate training environment to
enhance learning. Bonner, Libby, and
Nelson (1997) suggested that understanding the particular aspects of
knowledge that auditors need is necessary before educators and firms can
determinethebestwaystoorganizethe
instruction of auditors. We expect the
sameistrueofinformationtechnology
(IT)professionals.
Second, if established groups are
found to be an effective way to help
new graduates and new professionals
to learn critical problem-solving skills
inunstructuredenvironments,thisfindingwouldleadtorecommendationson
the use of group interaction to educate
and train new professionals to practice
addressing these types of issues with
theirclients.
BackgroundandHypothesis
Development
EffectsofExperienceLevels
Many researchers analyzing differences in problem-solving strategies
have examined the differences in performancebetweenexpertsandnovices.
Schmidtetal.(1990)suggestedthatone
phenomenonthatcouldnotbeexplained
in the medical expertise literature was
that experts gathered less, rather than
more, data. The authors suggested that
becauseexpertsrapidlyassessacasein
termsofpreviouscases,theycanfocus
July/August2008
347
Downloaded by [Universitas Maritim Raja Ali Haji] at 23:16 11 January 2016
ontheinformationneededforconfirmation of their diagnosis, whereas novicesprogressstep-by-steptodiagnosea
case.Inthesameway,ITprofessionals
must diagnose the problem presented
bytheiremployerorclientanddevelop
recommendationstosolvetheproblem.
Muchasinthemedicalprofession,these
unstructured problems often require
additional information to identify what
issues need to be addressed to provide
recommendations.
Stevens et al. (1996) confirmed that
students requested additional tests and
information seldom used by experts.
Their requests reflected those recommendedintextbooksorlabs.Researcherswouldexpectthataccountinginformation system (AIS) graduate students
would similarly use their textbook
knowledge to develop their additional
information requests to confirm their
diagnosis of an IT problem. IT professionalswouldbemorelikelytorelyon
knowledgegainedfromtheirexperience
inthefield,requestingfeweritemsthan
wouldnovices.
Intheaccountingliterature,Lehmann
and Norman (2005) found that experts
requested less information and fewer
tests to confirm audit judgments than
didintermediate-levelpersonnelandthat
intermediate-level personnel requested
lessthandidnovices.Abdolmohammadi
andWright(1987)foundsimilarresults
byusingastructuredtaskforauditors.
On the basis of these studies, in the
presentstudy,wedevelopedthefollowinghypotheses(Hn):
H1:Higherlevelsofprofessionalexperience will be associated with fewer
additional information requests to
confirmdecisions.
H2:Higherlevelsofprofessionalexperiencewillbeassociatedwithhigher
information-requested scores (i.e.,
requests that more closely match
thoseofthemasterpanel).
EffectsofGroupInteraction
Researchers have studied knowledgetransferonsubsequenttasks(e.g.,
Beane & Lemke, 1971; Hollingshead,
1998, 2000; Laughlin & Barth, 1981;
Laughlin & Sweeney, 1977; Lehmann, Heagy, & Willson, 2006, Olivera
& Straus, 2004). Lehmann et al. sug348
JournalofEducationforBusiness
gested that novices show performance
improvementinproblemrepresentation
afterinteractionwithestablishedgroups.
Noviceswhohadworkedinestablished
groupsperformedaswellastheexperiencedprofessionals.LaughlinandBarth
found evidence of individual learning
afterpracticingtheMastermindtaskas
a group, and Olivera and Straus found
thattraininginagrouporevenobservingthegroupprocessresultedinbetter
subsequent individual performance on
brain teasers. Even 10 min of group
collaboration can affect student performance(e.g.,Fall,Webb,&Wise,1995;
Wise&Behuniak,1993).Webb(1997)
andWebb,Chizhek,Nemer,andSugrue
(1998)indicatedbelow-averageeighthgradestudentswhoworkedingroupsof
mixedabilitieshadsignificantimprovementaftergroupinteraction.Beaneand
Lemke and Hollingshead (2000) suggested that having groups with either
different levels of ability or an expert
facilitatestransfer.
Basedonthesestudies,wetestedthe
followinghypothesis:
H3: Novice and experienced participants
who had group interaction in establishedgroupswillhavehigherinformation-requested scores than will those
whohadadhocgroupinteraction.
METHOD
Sample
Wedrewparticipantsfromaregional
publicaccountingfirm(n=7),achapter
of the Information Systems Audit and
Control Association (ISACA; n = 23),
andthreegraduateaccountinginformationcoursesectionsinamedium-sized,
upper-leveluniversityintheSouthwest
(n=62).ISACA’smembershipincludes
professionals with accounting training,
as well as professionals in the design,
development,implementation,auditing,
and security of accounting information
systems. The cases used in the experimentweresimilartothetypesofcases
usedintheAISclasses.Wefeltthatthe
graduate AIS students were qualified
to participate because they had been
exposedtotextbookmaterialsneededto
respondtothecases.
We visited the regional accounting
firm participants in their offices. The
managing partner (an alumnus of the
university) encouraged them to participate.TheISACAparticipantscompleted the case during a monthly technical
meetingaspartofatrainingsessionon
working with groups. After they completed the individual case and turned
in their responses, we led a discussion
of the recommended answers. Of the
participants, 6 received gift cards in a
random drawing, and all participants
received1hrofcontinuingprofessional
educationcredit.
Of the participating ISACA members, 2 had no previous experience in
the IT field. Of the 62 students who
participated,18hadITexperience.The
students completed the experiment in
theclassroomandearnedextracredit.
Most participants listed accounting
(n=41),managementinformationsystems(MIS;n=8),oraccounting/MIS
(n = 4) as their majors. The sample
included 52 men and 40 women. Of
those who reported certifications, 26
hadeitherthecertifiedpublicaccountantcertificationorthecertifiedinformation systems auditor certification
(seeTable1).
ProcedureandTask
Our experimental task consisted of
a series of three unstructured, openendedcasesthatwehaddeveloped(see
AppendixA). Time limits for working
each case were established for all participants as follows: 15 min for each
individualcaseand20minforthegroup
case. During the semester, undergrad-
uatestudentswereabletofinishsimilar
cases in 15–20 min (when working in
groups).Priorresearchhasfoundmixed
resultswithrespecttotheeffectoftime
constraints on performance. Therefore,
we cannot rule out the possibility that
the time constraint may have affected
ourresults.
We assembled a master panel to
developanswerstoourcases.Thispanel
comprisedhighlyexperiencedindividuals: an independent IT consultant with
morethan32yearsofprofessionalexperienceinretail,energy,andtechnology;
an IT auditor from a Big-Four public
accountingfirmwithmorethan18years
of professional auditing experience;
and a systems implementation expert,
TABLE1.DescriptiveStatisticsofParticipants
Downloaded by [Universitas Maritim Raja Ali Haji] at 23:16 11 January 2016
Variable
Gender
Male
Female
Major(reported)
Accounting
MIS
Accounting/MIS
Othera
Certification(reported)
CPA
CISA
Otherc
None/notreportedd
Adhoc
Established
Fullsample
Novice
Experienced
Novice
Experienced
n=92
52
40
n=91
41
8
4
38
n=91
10
16
18
59
n=19
6
13
n=19
14
1
2
2
n=3
0
0
0
19
n=28
20
8
n=28
15
4
1
8
n=27b
8
16
15
0
n=28
11
17
n=27
7
2
1
17
n=28
0
0
1
27
n=17
15
2
n=17
5
1
0
11
n=17
2
0
2
13
Note.Onlyoneoftheestablishednoviceshadacertification.Forthetwoexperiencedgroups,thiscategoryindicatesthosewhodidnothavethecertificationslistedatthetimeoftheexperiment.
a
Othermajor(e.g.,computerscience,finance,generalbusiness).bTwelveoftheadhocexperiencedparticipantshadmorethanonecertification.cOther
certification(e.g.,CISSP,software-specificcertification).dNone/notreported:Theadhocnoviceswerenotaskedaboutcertifications.
whose more than 7 years of employment with an independent risk consulting firm included an extensive range
of IT experience in various industries
andareasofpractice.Weinstructedour
panelmemberstorespondtothefollowing questions listed inAppendixA for
allthreecases:
1.Summarize the situation confronted
bytheclient(company).
2.Indicate your solution to the prob-
lem.
3.Indicateotherinformationyouwould
requesttojustifyyoursolution.
The initial agreement among our
panel members was better than 80%.
Weadjustedthecasematerialsandcontinueddiscussionswithpanelmembers
until a final consensus on the answers
wasreached(seeAppendixB).
Two independent coders who were
graduate research assistants coded
responses to Question 3. These coders
wereneitherawareofthehypothesesnor
providedwithanydemographicinformation about the participants. The coders
hadhighagreement(≥74%).Wherediscrepanciesoccurred,thecodersdiscussed
these and reached 100% agreement. A
third independent coder also graded the
participants’ answers for the question
againstthecompositeanswersdeveloped
by the master panel. No partial credit
was given, although the wording of the
requested information did not have to
be exact (e.g., a participant’s response
“indicate location and customer bases
of each store” was considered a match
to the master panel’s response “collect
demographicsofeachstore”).Appendix
Bshowssomeexamplesofmatchedand
notmatchedresponses.
DependentVariables
The dependent variables were related to the participants’ responses to the
third question for the video case. We
counted the number of information
itemsrequested(rawvideoinfo)totest
H1.Theitemsofinformationrequested
were graded against the response from
ourmasterpanel(gradedvideoinfo)to
testH2andH3.
IndependentVariables
TheindependentvariableforH1and
H2 was months of experience (novice
vs. experienced). Type of group interaction (ad hoc vs. established type of
group [GRP]) was used with experience (novice vs. experienced participants [EXPGRP]) to test H3 (factor:
EXP×GRP).Thegroupswereformed
on the basis of a quick survey that
asked for their names and the number of years of IT experience that they
had. We then formed groups based on
experience levels. These quick surveys
were administered to the professionals
astheyenteredthemeetingareaandto
the students during the semester. The
established groups were either (a) students who worked in the same group
fortheentiresemesterandwhohadIT
experienceor(b)professionalswhohad
worked together on their work teams
prior to this study. The ad hoc groups
wereformedrandomly,andthestudents
and professionals in these groups had
neverworkedtogetherbefore.
As shown in Tables 1 and 2, the
Experience×Groupinteractiongroups
werethefollowing:
Adhocnovicegroups(n=19).These
weregraduatestudents(17)andISACA
members (2) with no professional
experience in systems. They had not
worked together in groups prior to the
experiment. They completed a sample
case individually as practice (hospital
case),thenacase(aeronauticscase)in
groupsof3–5,andfinallyacase(video
case) individually. Steiner (1972) indicatedthatwithadiscretionarytask(i.e.,
one in which members can solve the
problem however they desire and with
no specific requirements to take into
account as to which members’ conclusions are preferred), group size is not
related to the ability of the group to
beproductive.However,processlosses
increasewithincreasesinthesizeofthe
group.Withadifficulttask,productivity
July/August2008
349
TABLE2.DescriptiveStatisticsofInformationRequested
Adhoc
Fullsample
(n=92)
Variable
Rawvideoinfo
Gradedvideoinfo
Monthsexperience
Novice
(n=19)
Established
Experienced
(n=28)
Novice
(n=28)
Experienced
(n=17)
M
SD
M
SD
M
SD
M
SD
M
SD
2.33
0.64
57.35
1.61
0.86
88.19
2.21
0.21
0.00
1.75
0.42
0.00
2.18
0.79
144.64
1.61
0.99
105.33
2.32
0.82
0.04
1.25
0.67
0.19a
2.76
0.59
72.06
2.02
1.12
47.94
Downloaded by [Universitas Maritim Raja Ali Haji] at 23:16 11 January 2016
Note.Rawvideoinfo=numberofpiecesofinformationrequested;gradedvideoinfo=numberofpiecesofinformationrequestedthatmatchthecase
answers;adhocnovice=participantswithnoprofessionalexperiencewhointeractedinadhocgroupsformedsolelytoperformtheexperiment;adhoc
experienced=participantswithprofessionalexperiencewhointeractedinadhocgroupsformedsolelytoperformtheexperiment;establishednovice=
participantswithnoprofessionalexperiencewhointeractedinestablishedgroupsforatleast4monthspriortotheexperiment;establishedexperienced=
participantswithprofessionalexperiencewhointeractedinestablishedgroupsforatleast4monthspriortotheexperiment.
a
Onestudenthadcompleteda1-semesterinternship.
isafunctionofgroupsizeuptoapoint.
Butonceacertaingroupsizeisreached,
thereareneitherproductivitygainsnor
achangeintheprobabilitythatatleast
one person in the group can solve the
problem.Onthebasisofourexperience
with work groups and student groups,
we tried to keep group membership to
4 individuals per group to maximize
efficiency given the nature of the task
andthetimelimitations.Becauseofour
administeringtheexperimentinseveral
sessions,weendedupwithtwogroups
of3membersandtwoothergroupsof5
members.Eachcasewashandedintoa
proctorbeforestartingthenextcase.
Adhocexperiencedgroups(n=28).
Of the participants in ad hoc groups
that included members with IT experience,21wereISACAchaptermembers
(M professional experience = 171.43
months).Also,7weregraduatestudents
with MIS experience (M MIS experience = 64.29 months) who had not
worked in groups prior to the experiment. These participants followed the
same experimental procedures as those
oftheadhocnovices.
Establishednovicegroups(n=28).
The 28 novices in established groups
were graduate students who had
worked on cases similar to those in
the experiment throughout a semester.Thesestudentsworkedthehospital
andaeronauticscasesindividuallyafter
completing the video case. Analysis
of variance (ANOVA) determined that
there were no order effects (i.e., the
order of completion of the cases was
350
JournalofEducationforBusiness
not significantly associated with the
dependentvariables).
The groups were established at the
beginningofthesemesteronthebasisof
randomassignmentwithoutregardtothe
resourcesofeachgroupmember.Members worked 14 similar unstructured,
open-endedcasesduringthesemesterin
theirgroups.Thevideocasewasthefirst
casethattheyworkedonindividually.
Established experienced groups (n
= 17). Of the established experienced
groups’ participants (M professional
experience = 119.14 months), 7 were
membersofaregionalinformationsystems design and implementation firm
who had worked in teams prior to the
experiment.Aftertheexperiment,feedback from these participants indicated
that the cases in the experiment were
very similar to situations that their
teamsregularlyfacedwhendeveloping
newsystemsforclients.
The 7 members of these groups
workedthethreeexperimentalcasesin
thesameorderasdidtheadhocgroups.
Theother10participantsweregraduate
students (M professional experience =
39.10 months) who had IT experience
and had worked in established student
groupsoverasemester.
RESULTS
H1andH2
Because of the two dependent variables(rawvideoinfoandgradedvideo
info) we used a multiple analysis of
variance(MANOVA)totestH1andH2.
RegressionwasalsousedtoanalyzeH2.
Inthesetests,experiencewasusedasa
continuousvariable(covariate)andnot
asagroupingvariable.
AsshowninTable3,theMANOVA
resultssuggestthattherawnumberof
items requested (H1) did not differ as
a function of the number of months
of experience (p = .62). However,
there were significant differences in
thegradedinformationrequested(H2)
with months of experience (p = .00).
Theresultsofaregressiononthegraded video info (see Table 4) indicated
that with more professional experience, the graded information-requestedscorewashigher;thatis,theparticipants’requestsmorecloselymatched
those of the master panel. Although
we expected to find that higher levels of professional experience were
associatedwithfewerrawinformation
requests,wefoundnosupportforthat
hypothesis (H1). However, there was
support for H2 (higher levels of professional experience associated with
higherinformation-requestedscores).
H3
To test H3, we performed a priori
contrasts on the one-way ANOVA.
Participants were placed into one of
fourgroupsthatwedescribedearlier:
ad hoc novice, ad hoc experienced,
establishednovice,establishedexperienced(fixedfactor:EXP×GRP).The
ANOVAresultswiththegradedscore
Downloaded by [Universitas Maritim Raja Ali Haji] at 23:16 11 January 2016
as the dependent variable showed a
significantassociationbetweengraded
information scores and the combinationofexperience(p≤.00)andgroup
(p≤.02),showingsupportforH3(see
Table5).Whenwecontrastedthetwo
ad hoc groups with the two established groups, the established groups
were no different from the ad hoc
groups (p
ISSN: 0883-2323 (Print) (Online) Journal homepage: http://www.tandfonline.com/loi/vjeb20
Effects of Professional Experience and Group
Interaction on Information Requested in Analyzing
IT Cases
Constance M. Lehmann & Cynthia D. Heagy
To cite this article: Constance M. Lehmann & Cynthia D. Heagy (2008) Effects of Professional
Experience and Group Interaction on Information Requested in Analyzing IT Cases, Journal of
Education for Business, 83:6, 347-354, DOI: 10.3200/JOEB.83.6.347-354
To link to this article: http://dx.doi.org/10.3200/JOEB.83.6.347-354
Published online: 07 Aug 2010.
Submit your article to this journal
Article views: 12
View related articles
Full Terms & Conditions of access and use can be found at
http://www.tandfonline.com/action/journalInformation?journalCode=vjeb20
Download by: [Universitas Maritim Raja Ali Haji]
Date: 11 January 2016, At: 23:16
Downloaded by [Universitas Maritim Raja Ali Haji] at 23:16 11 January 2016
EffectsofProfessionalExperience
andGroupInteractiononInformation
RequestedinAnalyzingITCases
CONSTANCEM.LEHMANN
CYNTHIAD.HEAGY
UNIVERSITYOFHOUSTON–CLEARLAKE
HOUSTON,TEXAS
ABSTRACT. Theauthorsinvestigated
theeffectsofprofessionalexperienceand
groupinteractionontheinformationthat
informationtechnologyprofessionalsand
graduateaccountinginformationsystem
(AIS)studentsrequestwhenanalyzing
businesscasesrelatedtoinformationsystemsdesignandimplementation.Understandingtheseeffectscancontributeto
thesuccessofthecollegeclassroomand
corporatetraininglearningenvironments.
Theresultssuggestthatastheamountof
professionalexperienceincreases,thenumberofinformationrequeststhatmatchthe
informationrequestsdeterminedbyamasterpanel(matchedanswers)alsoincrease.
Inaddition,highernumbersofmatched
answersbynoviceswereassociatedwith
beinginestablishedgroupspriortocompletingtheexperimentalcaseindividually.
Keywords:AISstudents,groupinteraction,
informationrequested,informationsystemsdesignandimplementation,unstructuredcases
Copyright©2008HeldrefPublications
T
hepurposeofthepresentstudywas
to determine whether membership
in certain types of groups can enhance
the quality of information requests by
novices analyzing realistic business
casesinvolvingunstructuredinformation
systemsdesignandimplementation.We
analyzedwhetherparticipants(noviceor
experienced) benefited from interaction
in established groups as opposed to ad
hocgroupspriortoanalyzingtheexperimentalcaseindividually.
Wefoundthatwithincreasinglevels
of professional experience, the number of information requests that match
the information requests of a master
panel(matchedanswers)alsoincreases.
This is consistent with prior evidence
thatmoreexperiencedprofessionalsare
better at information gathering (e.g.,
Lehmann & Norman, 2005; Schmidt,
Norman, & Boshuizen, 1990; Stevens,
Lopo, &Wang, 1996). In an extension
ofthispreviousresearch,wefoundthat
novicesinestablishedgroupshadhighermatchedinformationscoresthandid
novicesinadhocgroupswhencompleting the experimental case individually
afterextendedgroupinteraction.
Theresultsofourstudyhaveeducational and training implications. First,
ifresearchersandeducatorscanunderstandhowprofessionalsevaluateasituationandrequestinformation,educators
will be in a better position to structure
the college classroom experience and
the corporate training environment to
enhance learning. Bonner, Libby, and
Nelson (1997) suggested that understanding the particular aspects of
knowledge that auditors need is necessary before educators and firms can
determinethebestwaystoorganizethe
instruction of auditors. We expect the
sameistrueofinformationtechnology
(IT)professionals.
Second, if established groups are
found to be an effective way to help
new graduates and new professionals
to learn critical problem-solving skills
inunstructuredenvironments,thisfindingwouldleadtorecommendationson
the use of group interaction to educate
and train new professionals to practice
addressing these types of issues with
theirclients.
BackgroundandHypothesis
Development
EffectsofExperienceLevels
Many researchers analyzing differences in problem-solving strategies
have examined the differences in performancebetweenexpertsandnovices.
Schmidtetal.(1990)suggestedthatone
phenomenonthatcouldnotbeexplained
in the medical expertise literature was
that experts gathered less, rather than
more, data. The authors suggested that
becauseexpertsrapidlyassessacasein
termsofpreviouscases,theycanfocus
July/August2008
347
Downloaded by [Universitas Maritim Raja Ali Haji] at 23:16 11 January 2016
ontheinformationneededforconfirmation of their diagnosis, whereas novicesprogressstep-by-steptodiagnosea
case.Inthesameway,ITprofessionals
must diagnose the problem presented
bytheiremployerorclientanddevelop
recommendationstosolvetheproblem.
Muchasinthemedicalprofession,these
unstructured problems often require
additional information to identify what
issues need to be addressed to provide
recommendations.
Stevens et al. (1996) confirmed that
students requested additional tests and
information seldom used by experts.
Their requests reflected those recommendedintextbooksorlabs.Researcherswouldexpectthataccountinginformation system (AIS) graduate students
would similarly use their textbook
knowledge to develop their additional
information requests to confirm their
diagnosis of an IT problem. IT professionalswouldbemorelikelytorelyon
knowledgegainedfromtheirexperience
inthefield,requestingfeweritemsthan
wouldnovices.
Intheaccountingliterature,Lehmann
and Norman (2005) found that experts
requested less information and fewer
tests to confirm audit judgments than
didintermediate-levelpersonnelandthat
intermediate-level personnel requested
lessthandidnovices.Abdolmohammadi
andWright(1987)foundsimilarresults
byusingastructuredtaskforauditors.
On the basis of these studies, in the
presentstudy,wedevelopedthefollowinghypotheses(Hn):
H1:Higherlevelsofprofessionalexperience will be associated with fewer
additional information requests to
confirmdecisions.
H2:Higherlevelsofprofessionalexperiencewillbeassociatedwithhigher
information-requested scores (i.e.,
requests that more closely match
thoseofthemasterpanel).
EffectsofGroupInteraction
Researchers have studied knowledgetransferonsubsequenttasks(e.g.,
Beane & Lemke, 1971; Hollingshead,
1998, 2000; Laughlin & Barth, 1981;
Laughlin & Sweeney, 1977; Lehmann, Heagy, & Willson, 2006, Olivera
& Straus, 2004). Lehmann et al. sug348
JournalofEducationforBusiness
gested that novices show performance
improvementinproblemrepresentation
afterinteractionwithestablishedgroups.
Noviceswhohadworkedinestablished
groupsperformedaswellastheexperiencedprofessionals.LaughlinandBarth
found evidence of individual learning
afterpracticingtheMastermindtaskas
a group, and Olivera and Straus found
thattraininginagrouporevenobservingthegroupprocessresultedinbetter
subsequent individual performance on
brain teasers. Even 10 min of group
collaboration can affect student performance(e.g.,Fall,Webb,&Wise,1995;
Wise&Behuniak,1993).Webb(1997)
andWebb,Chizhek,Nemer,andSugrue
(1998)indicatedbelow-averageeighthgradestudentswhoworkedingroupsof
mixedabilitieshadsignificantimprovementaftergroupinteraction.Beaneand
Lemke and Hollingshead (2000) suggested that having groups with either
different levels of ability or an expert
facilitatestransfer.
Basedonthesestudies,wetestedthe
followinghypothesis:
H3: Novice and experienced participants
who had group interaction in establishedgroupswillhavehigherinformation-requested scores than will those
whohadadhocgroupinteraction.
METHOD
Sample
Wedrewparticipantsfromaregional
publicaccountingfirm(n=7),achapter
of the Information Systems Audit and
Control Association (ISACA; n = 23),
andthreegraduateaccountinginformationcoursesectionsinamedium-sized,
upper-leveluniversityintheSouthwest
(n=62).ISACA’smembershipincludes
professionals with accounting training,
as well as professionals in the design,
development,implementation,auditing,
and security of accounting information
systems. The cases used in the experimentweresimilartothetypesofcases
usedintheAISclasses.Wefeltthatthe
graduate AIS students were qualified
to participate because they had been
exposedtotextbookmaterialsneededto
respondtothecases.
We visited the regional accounting
firm participants in their offices. The
managing partner (an alumnus of the
university) encouraged them to participate.TheISACAparticipantscompleted the case during a monthly technical
meetingaspartofatrainingsessionon
working with groups. After they completed the individual case and turned
in their responses, we led a discussion
of the recommended answers. Of the
participants, 6 received gift cards in a
random drawing, and all participants
received1hrofcontinuingprofessional
educationcredit.
Of the participating ISACA members, 2 had no previous experience in
the IT field. Of the 62 students who
participated,18hadITexperience.The
students completed the experiment in
theclassroomandearnedextracredit.
Most participants listed accounting
(n=41),managementinformationsystems(MIS;n=8),oraccounting/MIS
(n = 4) as their majors. The sample
included 52 men and 40 women. Of
those who reported certifications, 26
hadeitherthecertifiedpublicaccountantcertificationorthecertifiedinformation systems auditor certification
(seeTable1).
ProcedureandTask
Our experimental task consisted of
a series of three unstructured, openendedcasesthatwehaddeveloped(see
AppendixA). Time limits for working
each case were established for all participants as follows: 15 min for each
individualcaseand20minforthegroup
case. During the semester, undergrad-
uatestudentswereabletofinishsimilar
cases in 15–20 min (when working in
groups).Priorresearchhasfoundmixed
resultswithrespecttotheeffectoftime
constraints on performance. Therefore,
we cannot rule out the possibility that
the time constraint may have affected
ourresults.
We assembled a master panel to
developanswerstoourcases.Thispanel
comprisedhighlyexperiencedindividuals: an independent IT consultant with
morethan32yearsofprofessionalexperienceinretail,energy,andtechnology;
an IT auditor from a Big-Four public
accountingfirmwithmorethan18years
of professional auditing experience;
and a systems implementation expert,
TABLE1.DescriptiveStatisticsofParticipants
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Variable
Gender
Male
Female
Major(reported)
Accounting
MIS
Accounting/MIS
Othera
Certification(reported)
CPA
CISA
Otherc
None/notreportedd
Adhoc
Established
Fullsample
Novice
Experienced
Novice
Experienced
n=92
52
40
n=91
41
8
4
38
n=91
10
16
18
59
n=19
6
13
n=19
14
1
2
2
n=3
0
0
0
19
n=28
20
8
n=28
15
4
1
8
n=27b
8
16
15
0
n=28
11
17
n=27
7
2
1
17
n=28
0
0
1
27
n=17
15
2
n=17
5
1
0
11
n=17
2
0
2
13
Note.Onlyoneoftheestablishednoviceshadacertification.Forthetwoexperiencedgroups,thiscategoryindicatesthosewhodidnothavethecertificationslistedatthetimeoftheexperiment.
a
Othermajor(e.g.,computerscience,finance,generalbusiness).bTwelveoftheadhocexperiencedparticipantshadmorethanonecertification.cOther
certification(e.g.,CISSP,software-specificcertification).dNone/notreported:Theadhocnoviceswerenotaskedaboutcertifications.
whose more than 7 years of employment with an independent risk consulting firm included an extensive range
of IT experience in various industries
andareasofpractice.Weinstructedour
panelmemberstorespondtothefollowing questions listed inAppendixA for
allthreecases:
1.Summarize the situation confronted
bytheclient(company).
2.Indicate your solution to the prob-
lem.
3.Indicateotherinformationyouwould
requesttojustifyyoursolution.
The initial agreement among our
panel members was better than 80%.
Weadjustedthecasematerialsandcontinueddiscussionswithpanelmembers
until a final consensus on the answers
wasreached(seeAppendixB).
Two independent coders who were
graduate research assistants coded
responses to Question 3. These coders
wereneitherawareofthehypothesesnor
providedwithanydemographicinformation about the participants. The coders
hadhighagreement(≥74%).Wherediscrepanciesoccurred,thecodersdiscussed
these and reached 100% agreement. A
third independent coder also graded the
participants’ answers for the question
againstthecompositeanswersdeveloped
by the master panel. No partial credit
was given, although the wording of the
requested information did not have to
be exact (e.g., a participant’s response
“indicate location and customer bases
of each store” was considered a match
to the master panel’s response “collect
demographicsofeachstore”).Appendix
Bshowssomeexamplesofmatchedand
notmatchedresponses.
DependentVariables
The dependent variables were related to the participants’ responses to the
third question for the video case. We
counted the number of information
itemsrequested(rawvideoinfo)totest
H1.Theitemsofinformationrequested
were graded against the response from
ourmasterpanel(gradedvideoinfo)to
testH2andH3.
IndependentVariables
TheindependentvariableforH1and
H2 was months of experience (novice
vs. experienced). Type of group interaction (ad hoc vs. established type of
group [GRP]) was used with experience (novice vs. experienced participants [EXPGRP]) to test H3 (factor:
EXP×GRP).Thegroupswereformed
on the basis of a quick survey that
asked for their names and the number of years of IT experience that they
had. We then formed groups based on
experience levels. These quick surveys
were administered to the professionals
astheyenteredthemeetingareaandto
the students during the semester. The
established groups were either (a) students who worked in the same group
fortheentiresemesterandwhohadIT
experienceor(b)professionalswhohad
worked together on their work teams
prior to this study. The ad hoc groups
wereformedrandomly,andthestudents
and professionals in these groups had
neverworkedtogetherbefore.
As shown in Tables 1 and 2, the
Experience×Groupinteractiongroups
werethefollowing:
Adhocnovicegroups(n=19).These
weregraduatestudents(17)andISACA
members (2) with no professional
experience in systems. They had not
worked together in groups prior to the
experiment. They completed a sample
case individually as practice (hospital
case),thenacase(aeronauticscase)in
groupsof3–5,andfinallyacase(video
case) individually. Steiner (1972) indicatedthatwithadiscretionarytask(i.e.,
one in which members can solve the
problem however they desire and with
no specific requirements to take into
account as to which members’ conclusions are preferred), group size is not
related to the ability of the group to
beproductive.However,processlosses
increasewithincreasesinthesizeofthe
group.Withadifficulttask,productivity
July/August2008
349
TABLE2.DescriptiveStatisticsofInformationRequested
Adhoc
Fullsample
(n=92)
Variable
Rawvideoinfo
Gradedvideoinfo
Monthsexperience
Novice
(n=19)
Established
Experienced
(n=28)
Novice
(n=28)
Experienced
(n=17)
M
SD
M
SD
M
SD
M
SD
M
SD
2.33
0.64
57.35
1.61
0.86
88.19
2.21
0.21
0.00
1.75
0.42
0.00
2.18
0.79
144.64
1.61
0.99
105.33
2.32
0.82
0.04
1.25
0.67
0.19a
2.76
0.59
72.06
2.02
1.12
47.94
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Note.Rawvideoinfo=numberofpiecesofinformationrequested;gradedvideoinfo=numberofpiecesofinformationrequestedthatmatchthecase
answers;adhocnovice=participantswithnoprofessionalexperiencewhointeractedinadhocgroupsformedsolelytoperformtheexperiment;adhoc
experienced=participantswithprofessionalexperiencewhointeractedinadhocgroupsformedsolelytoperformtheexperiment;establishednovice=
participantswithnoprofessionalexperiencewhointeractedinestablishedgroupsforatleast4monthspriortotheexperiment;establishedexperienced=
participantswithprofessionalexperiencewhointeractedinestablishedgroupsforatleast4monthspriortotheexperiment.
a
Onestudenthadcompleteda1-semesterinternship.
isafunctionofgroupsizeuptoapoint.
Butonceacertaingroupsizeisreached,
thereareneitherproductivitygainsnor
achangeintheprobabilitythatatleast
one person in the group can solve the
problem.Onthebasisofourexperience
with work groups and student groups,
we tried to keep group membership to
4 individuals per group to maximize
efficiency given the nature of the task
andthetimelimitations.Becauseofour
administeringtheexperimentinseveral
sessions,weendedupwithtwogroups
of3membersandtwoothergroupsof5
members.Eachcasewashandedintoa
proctorbeforestartingthenextcase.
Adhocexperiencedgroups(n=28).
Of the participants in ad hoc groups
that included members with IT experience,21wereISACAchaptermembers
(M professional experience = 171.43
months).Also,7weregraduatestudents
with MIS experience (M MIS experience = 64.29 months) who had not
worked in groups prior to the experiment. These participants followed the
same experimental procedures as those
oftheadhocnovices.
Establishednovicegroups(n=28).
The 28 novices in established groups
were graduate students who had
worked on cases similar to those in
the experiment throughout a semester.Thesestudentsworkedthehospital
andaeronauticscasesindividuallyafter
completing the video case. Analysis
of variance (ANOVA) determined that
there were no order effects (i.e., the
order of completion of the cases was
350
JournalofEducationforBusiness
not significantly associated with the
dependentvariables).
The groups were established at the
beginningofthesemesteronthebasisof
randomassignmentwithoutregardtothe
resourcesofeachgroupmember.Members worked 14 similar unstructured,
open-endedcasesduringthesemesterin
theirgroups.Thevideocasewasthefirst
casethattheyworkedonindividually.
Established experienced groups (n
= 17). Of the established experienced
groups’ participants (M professional
experience = 119.14 months), 7 were
membersofaregionalinformationsystems design and implementation firm
who had worked in teams prior to the
experiment.Aftertheexperiment,feedback from these participants indicated
that the cases in the experiment were
very similar to situations that their
teamsregularlyfacedwhendeveloping
newsystemsforclients.
The 7 members of these groups
workedthethreeexperimentalcasesin
thesameorderasdidtheadhocgroups.
Theother10participantsweregraduate
students (M professional experience =
39.10 months) who had IT experience
and had worked in established student
groupsoverasemester.
RESULTS
H1andH2
Because of the two dependent variables(rawvideoinfoandgradedvideo
info) we used a multiple analysis of
variance(MANOVA)totestH1andH2.
RegressionwasalsousedtoanalyzeH2.
Inthesetests,experiencewasusedasa
continuousvariable(covariate)andnot
asagroupingvariable.
AsshowninTable3,theMANOVA
resultssuggestthattherawnumberof
items requested (H1) did not differ as
a function of the number of months
of experience (p = .62). However,
there were significant differences in
thegradedinformationrequested(H2)
with months of experience (p = .00).
Theresultsofaregressiononthegraded video info (see Table 4) indicated
that with more professional experience, the graded information-requestedscorewashigher;thatis,theparticipants’requestsmorecloselymatched
those of the master panel. Although
we expected to find that higher levels of professional experience were
associatedwithfewerrawinformation
requests,wefoundnosupportforthat
hypothesis (H1). However, there was
support for H2 (higher levels of professional experience associated with
higherinformation-requestedscores).
H3
To test H3, we performed a priori
contrasts on the one-way ANOVA.
Participants were placed into one of
fourgroupsthatwedescribedearlier:
ad hoc novice, ad hoc experienced,
establishednovice,establishedexperienced(fixedfactor:EXP×GRP).The
ANOVAresultswiththegradedscore
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as the dependent variable showed a
significantassociationbetweengraded
information scores and the combinationofexperience(p≤.00)andgroup
(p≤.02),showingsupportforH3(see
Table5).Whenwecontrastedthetwo
ad hoc groups with the two established groups, the established groups
were no different from the ad hoc
groups (p