This study illuminates the role of client–vendor communication in relation to project performance and client satisfaction in information system projects. Results from a field study with managers on the client side suggest that both process and product performance positively influence the confirmation of expectations; however, process expectations do not, which might be due to the normality of budget and schedule overruns. Furthermore, client–vendor communication wields an important influence on client satisfaction. Future research should address the contributions of different communication mediums and contrast agile and non-agile projects.
AgarwalN., & RathodU. (2006). Defining ‘success’ for software projects: An exploratory revelation.International Journal of Project Management, 24(4), 358–370.
2.
AierS., BucherT., & WinterR. (2011). Critical success factors of service orientation in information systems engineering.Business & Information Systems Engineering, 3(2), 77–88.
3.
AinuddinR. A., BeamishP. W., HullandJ. S., & RouseM. J. (2007). Resource attributes and firm performance in international joint ventures.Journal of World Business, 42(1), 47–60.
4.
AlterS. (2008). Defining information systems as work systems: Implications for the IS field.European Journal of Information Systems, 17(5), 448–469.
5.
AndersonE. W., FornellC., & LehmannD. R. (1994). Customer satisfaction, market share, and profitability: Findings from Sweden.Journal of Marketing, 58(3), 53–66. doi: 10.2307/1252310
6.
AndersonE. W., & SullivanM. W. (1993). The antecedents and consequences of customer satisfaction for firms.Marketing Science, 12(2), 125–143. doi: 10.2307/184036
7.
AronsonE., & CarlsmithJ. M. (1962). Performance expectancy as a determinant of actual performance.The Journal of Abnormal and Social Psychology, 65(3), 178–182.
BarclayC., & Osei-BrysonK.-M. (2009). Determining the contribution of IS projects: An approach to measure performance. Paper presented at the Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, Piscataway, New Jersey.
10.
BarclayD., HigginsC., & ThompsonR. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration.Technology Studies, 2(2), 285–309.
11.
BastenD., & PankratzO. (2015). Customer satisfaction in IS projects: Assessing the role of process and product performance.Communications of the Association for Information Systems, 37(Paper 22), 430–447.
12.
BastenD., StavrouG., & PankratzO. (2016). Closing the stakeholder expectation gap: Managing customer expectations toward the process of developing information systems.Project Management Journal, 47(5), 70–88.
13.
BenlianA., & HessT. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives.Decision Support Systems, 52(1), 232–246.
14.
BenlianA., HessT., & BuxmannP. (2009). Drivers of SaaS-adoption: An empirical study of different application types.Business & Information Systems Engineering, 1(5), 357–369.
15.
BhattacherjeeA. (2001). Understanding information systems continuance: An expectation–confirmation model.MIS Quarterly, 25(3), 351–370.
16.
BhattacherjeeA., & PremkumarG. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test.MIS Quarterly, 28(2), 229–254.
17.
BirkinshawJ., MorrisonA., & HullandJ. (1995). Structural and competitive determinants of a global integration strategy.Strategic Management Journal, 16(8), 637–655.
CalantoneR. J., GrahamJ. L., & Mintu-WimsattA. (1998). Problem-solving approach in an international context: Antecedents and outcomes.International Journal of Research in Marketing Science, 15(1), 19–35.
20.
CeluchK., BanthamJ. H., & KasoufC. J. (2011). The role of trust in buyer–seller conflict management.Journal of Business Research, 64(10), 1082–1088.
21.
ChinW. W. (1998). The partial least squares approach to structural equation modeling. In MarcoulidesG. A. (Ed.), Modern methods for business research (pp. 295–358). Mahwah, NJ: Erlbaum.
22.
ChinW. W., MarcolinB. L., & NewstedP. R. (2003). A partial least squares latent modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study.Information Systems Research, 14(2), 189–217.
23.
ChinW. W., & NewstedP. R. (1999). Structural equation modeling analysis with small samples using partial least squares.Statistical Strategies for Small Sample Research, 2, 307–342.
24.
ClaycombC., & FrankwickG. L. (2004). A contingency perspective of communication, conflict resolution and buyer search effort in buyer–supplier relationships.The Journal of Supply Chain Management, 40(4), 18–34.
25.
ClaycombC., & FrankwickG. L. (2010). Buyers’ perspectives of buyer–seller relationship development.Industrial Marketing Management, 39(2), 252–263.
26.
CohenJ. W. (1988). Statistical power analysis for the behavioral sciences (2 ed.). Hillsdale, MI: Erlbaum.
27.
CollinsA., & BaccariniD. (2004). Project success: A survey.Journal of Construction Research, 5(2), 211–231.
28.
CuellarM. (2010). Assessing project success: Moving beyond the triple constraint. Paper presented at the International Research Workshop on IT Project Management.
29.
DvirD., LipovetskyS., ShenharA. J., & TishlerA. (1998). In search of project classification: A non-universal approach to project success factors.Research Policy, 27(9), 915–935.
30.
DyerJ. H., & SinghH. (1998). The relational view: Cooperative strategy and sources of interorganizational competitive advantage.Academy of Management Review, 23(4), 660–679.
31.
EaglyA. H., & ChaikenS. (1993). The psychology of attitudes.Fort Worth, TX: Harcourt Brace Jovanovich College Publishers.
32.
EaglyA. H., & ChaikenS. (2007). The advantages of an inclusive definition of attitude.Social Cognition, 25(5), 582–602.
33.
EngelJ. F., KollatD. T., & BlackwellR. D. (1968). Consumer behavior.New York, NY: Holt and Rinehart and Winston.
34.
FalkR. F., & MillerN. B. (1992). A primer for soft modeling (1st ed.). Akron, OH: University of Akron Press.
35.
FennisB. M., & StroebeW. (2010). The psychology of advertising.New York, NY: Psychology Press.
36.
FestingerL. (1957). A theory of cognitive dissonance.Redwood City, CA: Stanford University Press.
37.
FornellC., & BooksteinF. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory.Journal of Marketing Research, 19(4), 440–452. doi: 10.2307/3151718
38.
FornellC., & LarckerD. F. (1981). Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research, 18(1), 39–50.
39.
GlassR. L. (1999). Evolving a new theory of project success.Communications of the ACM, 42(11), 17–19.
40.
GodfreyA., SeidersK., & VossG. B. (2011). Enough is enough! The fine line in executing multichannel relational communication.Journal of Marketing, 75(4), 94–109.
41.
GoodhueD. L., LewisW., & ThompsonR. (2012). Does PLS have advantages for small sample size or non-normal data?MIS Quarterly, 36(3), 891–1001.
42.
GreenD. H., & RyansA. B. (1990). Entry strategies and market performance: Causal modeling of a business simulation.Journal of Product Innovation Management, 7(1), 45–58.
43.
GregorS., & KleinG. (2014). Eight obstacles to overcome in the theory testing genre.Journal of the Association for Information Systems, 15(11), i–xix.
44.
HairJ. F., RingleC. M., & SarstedtM. (2011). PLS-SEM: Indeed a silver bullet.The Journal of Marketing Theory and Practice, 19(2), 139–152. doi: 10.2753/mtp1069-6679190202
45.
HairJ. F., SarstedtM., RingleC. M., & MenaJ. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research.Journal of the Academy of Marketing Science, 40(3), 414–433.
46.
HanH.-S., LeeJ.-N., ChunJ. U., & SeoY.-W. (2013). Complementarity between client and vendor IT capabilities: An empirical investigation in IT outsourcing projects.Decision Support Systems, 55(3), 777–791. doi: 10.1016/j.dss.2013.03.003
47.
Harmon-JonesE., Harmon-JonesC., & LevyN. (2015). An action-based model of cognitive-dissonance pocesses.Current Directions in Psychological Science, 24(3), 184–189.
48.
HenselerJ., RingleC. M., & SarstedtM. (2015). Testing measurement invariance of composites using partial least squares.International Marketing Review, 33(3), 405–431.
49.
HenselerJ., RingleC. M., & SinkovicsR. R. (2009). The use of partial least squares path modeling in international marketing.Advances in International Marketing, 20(IV), 277–319.
50.
HerbslebJ. D., & MockusA. (2003). An empirical study of speed and communication in globally distributed software development.IEEE Transactions on Software Engineering, 29(6), 481–494. doi: 10.1109/TSE.2003.1205177
51.
HossainM. A., & QuaddusM. (2012). Expectation–confirmation theory in information system research: A review and Analysis. In DwivediY. K., WadeM. R., & SchnebergerS. L. (Eds.), Information systems theory: Explaining and predicting our digital society (pp. 441–469). New York, NY: Springer.
52.
HowardJ. A., & ShethJ. N. (1969). The theory of buyer behavior.New York, NY: Wiley.
53.
HyväriI. (2006). Success of projects in different organizational conditions.Project Management Journal, 37(4), 31–41.
54.
IkaL. A. (2009). Project success as a topic in project management journals.Project Management Journal, 40(4), 6–19.
55.
InayatI., SalimS. S., MarczakS., DanevaM., & ShamshirbandS. (2015). A systematic literature review on agile requirements engineering practices and challenges.Computers in Human Behavior, 51, Part B, 915–929.
56.
JarvisC. B., MackenzieS. B., & PodsakoffP. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research.Journal of Consumer Research, 30(2), 199–218.
57.
JoostenD., BastenD., & MellisW. (2014). Measurement of information system project success in German organizations.International Journal of Information Technology Project Management, 5(3), 1–20.
58.
JoshiA. W. (2009). Continuous supplier performance improvement: Effects of collaborative communication and control.Journal of Marketing, 73(1), 133–150.
59.
JugdevK., & MüllerR. (2005). A retrospective look at our evolving understanding of project success.Project Management Journal, 36(4), 19–31.
60.
KarlsenJ. T., AndersenJ., BirkelyL. S., & ØdegårdE. (2005). What characterizes successful IT projects.International Journal of Information Technology & Decision Making, 4(4), 525–540.
61.
KeilM., RaiA., & LiuS. (2013). How user risk and requirements risk moderate the effects of formal and informal control on the process performance of IT projects.European Journal of Information Systems, 22(6), 650–672. doi: 10.1057/ejis.2012.42
62.
KendraK., & TaplinL. J. (2004). Project success: A cultural framework.Project Management Journal, 35(1), 30–45.
63.
KhanA. W., & KhanS. U. (2013). Critical success factors for offshore software outsourcing contract management from vendors’ perspective: An exploratory study using a systematic literature review.IET software, 7(6), 327–338.
64.
LeeJ.-N., & KimY.-G. (1999). Effect of partnership quality on IS outsourcing success: Conceptual framework and empirical validation.Journal of Management Information Systems, 15(4), 29–61.
65.
LimayemM., HirtS. G., & CheungC. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance.MIS Quarterly, 705–737.
66.
LindellM. K., & WhitneyD. J. (2001). Accounting for common method variance in cross-sectional research designs.Journal of Applied Psychology, 86(1), 114–121.
67.
MahmoodM. A., BagchiK., & FordT. C. (2004). On-line shopping behavior: Crosscountry empirical research.International Journal of Electronic Commerce, 9(1), 9–30.
68.
MalhotraN. K., KimS. S., & PatilA. (2006). Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research.Management Science, 52(12), 1865–1883.
69.
MarcoulidesG. A., & SaundersC. (2006). Editor's comments: PLS: A silver bullet?MIS Quarterly, iii–ix.
70.
MintzbergH. (1971). Managerial work: Analysis from observation.Management Science, 18(2), S. B97–B110.
71.
MohrJ. J., FisherR. J., & NevinJ. R. (1996). Collaborative communication in interfirm relationships: Moderating effects of integration and control.Journal of Marketing, 60(3), 103–115.
72.
MohrJ. J., & NevinJ. R. (1990). Communication strategies in marketing channels: A theoretical perspective.Journal of Marketing, 54(4), 36–51.
73.
MyersM. D. (1995). Dialectical hermeneutics: A theoretical framework for the implementation of information systems.Information Systems Journal, 5(1), 51–70.
74.
NederhofA. J. (1985). Methods of coping with social desirability bias: A review.European Journal of Social Psychology, 15(3), 263–280.
75.
NelsonR. (2005). Project retrospectives: Evaluating project success, failure, and everything in between.MIS Quarterly Executive, 4(3), 361–372.
76.
NelsonR. (2007). IT project management: Infamous failures, classic mistakes, and best practices.MIS Quarterly Executive, 6(2), 67–78.
77.
NunleeM. P. (2005). The control of intra-channel opportunism through the use of inter-channel communication.Industrial Marketing Management, 34(5), 515–525. doi: 10.1016/j. indmarman.2004.09.010
78.
NunnallyJ. C. (1978). Psychometric theory (2nd ed.). New York, NY: McGraw-Hill.
79.
OliverR. L. (1980). A cognitive model for the antecedents and consequences of satisfaction.Journal of Marketing Research, 17(4), 460–469.
80.
PankratzO., & BastenD. (2013). Eliminating failure by learning from it: Systematic review of IS project failure. Proceedings of the Thirty Fourth International Conference on Information Systems: Association for Information Systems.
81.
PankratzO., & BastenD. (2015, January, 5–8). One size does not fit all: Contingency approach on relevance of IS project success dimensions. Paper presented at the Hawaii International Conference on System Sciences, Kauai, Hawaii.
82.
PankratzO., & LoebbeckeC. (2011). Project managers’ perception of IS project success factors: A repertory grid investigation. In V. Tuunainen, J. Nandhakumar, M. Rossi, & W. Soliman (Eds.), Proceedings of the 19th European Conference on Information Systems.
83.
ParasuramanA., BerryL. L., & ZeithamlV. A. (1991). Understanding customer expectations of service.Sloan Management Review, 32(3), 39–48.
84.
PaulrajA., LadoA. A., & ChenI. J. (2008). Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships.Journal of Operations Management, 26(1), 45–64.
85.
PetterS. (2008). Managing user expectations on software projects: Lessons from the trenches.International Journal of Project Management, 26(7), 700–712.
86.
PettitJ. D., GorisJ. R., & VaughtB. C. (1997). An examination of organizational communication as a moderator of the relationship between job performance and job satisfaction.Journal of Business Communication, 34(1), 81–98.
87.
PintoJ. K., & SlevinD. P. (1988). Project success: Definitions and measurement techniques.Project Management Journal, 19(1), 67–72.
88.
PodsakoffP. M., MackenzieS. B., LeeJ.-Y., & PodsakoffN. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies.Journal of Applied Psychology, 88(5), 879–903.
89.
PostonR. S., SimonJ. C., & JainR. (2010). Client communication practices in managing relationships with offshore vendors of software testing services.Communications of the Association for Information Systems, 27(9), 129–148.
90.
PowersT. L., & ReaganW. R. (2007). Factors influencing successful buyer–seller relationships.Journal of Business Research, 60(12), 1234–1242.
91.
Project Management Institute (PMI). (2013). A guide to the project management body of knowledge (PMBOK® guide) – Fifth edition.Newtown Square, PA: Author.
92.
ReelJ. S. (1999). Critical success factors in software projects.IEEE Software, 16(3), 18–23.
93.
ReinartzW., HaenleinM., & HenselerJ. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM.International Journal of Research in Marketing, 26(4), 332–344.
RossiterJ. R. (2002). The C-OAR-SE procedure for scale development in marketing.International Journal of Research in Marketing, 19(4), 305–335.
96.
SaarinenT., & SääksjärviM. (1992). Process and product success in information systems development.Journal of Strategic Information Systems, 1(5), 266–275.
97.
SharmaR., ApoorvaS. R., MadireddyV., & JainV. (2008). Best practices for communication between client and vendor in IT outsourcing projects.Journal of Information, Information Technology & Organizations, 3, 60–93.
98.
SharmaR., YettonP., & CrawfordJ. (2009). Estimating the effect of common method variance: The method–method pair technique with an illustration from TAM technique.MIS Quarterly, 33(3), 473–490.
99.
ShenharA., LevyO., & DvirD. (1997). Mapping the dimensions of project success.Project Management Journal, 28(2), 5–13.
100.
ShenharA. J., DvirD., LevyO., & MaltzA. C. (2001). Project success: A multidimensional strategic concept.Long Range Planning, 34(6), 699–725.
101.
SiauK., LongY., & LingM. (2010). Toward a unified model of information systems development success.Journal of Database Management, 21(1), 80–101. doi: 10.4018/jdm.2010112304
102.
SideridisG., SimosP., PapanicolaouA., & FletcherJ. (2014). Using structural equation modeling to assess functional connectivity in the brain power and sample size considerations.Educational and Psychological Measurement, 74(5), 733–758.
103.
SonnekusR., & LabuschagneL. (2003). The Prosperus Report 2003: IT project management maturity versus project success in South Africa.Johannesburg, South Africa.
104.
SundararajanS., BhasiM., & VijayaraghavanP. K. (2014). Case study on risk management practice in large offshore-outsourced agile software projects.IET software, 8(6), 245–257.
105.
SusarlaA., BaruaA., & WhinstonA. B. (2003). Understanding the service component of application service provision: Empirical analysis of satisfaction with ASP services.MIS Quarterly, 27(1), 91–123.
106.
TeschD., JiangJ. J., & KleinG. (2003). The impact of information system personnel skill discrepancies on stakeholder satisfaction.Decision Sciences, 34(1), 107–129. doi: 10.1111/1540-5915.02371
107.
ThomasG., & FernándezW. (2008). Success in IT projects: A matter of definition.International Journal of Project Management, 26(7), 733–742.
108.
van EkrisJ. (2016, February 15–16). The role and decomposition of delivery quality in a failing project: A case study. Paper presented at the IASTED International Conference on Software Engineering, Innsbruck, Austria.
109.
VenkateshV., & GoyalS. (2010). Expectation disconfirmation and technology adoption: Polynomial modeling and response surface analysis.MIS Quarterly, 34(2), 281–303.
110.
VoorheesC. M., BradyM. K., CalantoneR., & RamirezE. (2015). Discriminant validity testing in marketing: An analysis, causes for concern, and proposed remedies.Journal of the Academy of Marketing Science, 44(1), 119–134.
111.
WallaceL., KeilM., & RaiA. (2004). How software project risk affects project performance: An investigation of the dimensions of risk and an exploratory model.Decision Sciences, 35(2), 289–321.
112.
WaltonR. E., & McKersieR. B. (1965). A behavioral theory of labor negotiations: An analysis of a social interaction system.New York, NY: McGraw-Hill.
113.
WateridgeJ. (1998). How can IS/IT projects be measured for success?International Journal of Project Management, 16(1), 59–63.
114.
WertsC. E., LinnR. L., & JöreskogK. G. (1974). Intraclass reliability estimates: Testing structural assumptions.Educational and Psychological Measurement, 34(1), 25–33.
115.
WuZ., & ChoiT. Y. (2005). Supplier–supplier relationships in the buyer–supplier triad: Building theories from eight case studies.Journal of Operations Management, 24(1), 27–52. doi: 10.1016/j.jom.2005.02.001
116.
WuZ., ChoiT. Y., & RungtusanathamM. J. (2010). Supplier–supplier relationships in buyer–supplier–supplier triads: Implications for supplier performance.Journal of Operations Management, 28(2), 115–123.
117.
YettonP., MartinA., SharmaR., & JohnstonK. (2000). A model of information systems development project performance.Information Systems Journal, 10(4), 263–289.
118.
ZannaM. P., & RempelJ. K. (1988). Attitudes: A new look at an old concept. In KruglanskiD. B.-T. A. W. (Ed.), The social psychology of knowledge (pp. 315–334). Paris, France: Editions de la Maison des Sciences de l'Homme.
