Effect mechanisms of perceptual congruence between information systems professionals and users on satisfaction with service

Journal of Management Information Systems

Volumn 29, Issue 4, 2013, Pages 63-96

  Benlian, Alexander ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

alignment; IS service quality; perceptual congruence; polynomial modeling; response surface analysis; SERVQUAL

Indexed keywords

PERCEPTUAL CONGRUENCE; POLYNOMIAL MODELING; RESPONSE SURFACE ANALYSIS; SERVICE QUALITY; SERVQUAL;

ALIGNMENT; DRAWING (FORMING); INFORMATION SYSTEMS; SURFACE ANALYSIS;

QUALITY OF SERVICE;

EID: 84880191326     PISSN: 07421222     EISSN: None     Source Type: Journal    
DOI: 10.2753/MIS0742-1222290402     Document Type: Article

References (67)

1. Allport, F.H. Theories of Perception and the Concept of Structure. New York: Wiley, 1955.
2. Armstrong, J.S., and Overton, T.S. Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14, 3 (1977), 396-402.
3. Atwater, L.E.; Ostroff, C.; Yammarino, F.J.; and Fleenor, J.W. Self-other agreement: Does it really matter? Personnel Psychology, 51, 3 (1998), 577-598.
4. Bardhan, I.R.; Demirkan, H.; Kannan, P.K.; Kauffman, R.J.; and Sougstad, R. An interdisciplinary perspective on IT services management and service science. Journal of Management Information Systems, 26, 4 (Spring 2010), 13-64.
5. Baumeister, R.F.; Bratslavsky, E.; Finkenauer, C.; and Vohs, K.D. Bad is stronger than good. Review of General Psychology, 5, 4 (2001), 323-370.
6. Benlian, A.; Koufaris, M.; and Hess, T. Service quality in software-as-a-service: Developing the SaaS-Qual measure and examining its role in usage continuance. Journal of Management Information Systems, 28, 3 (Winter 2011-12), 85-126.
7. Bhattacherjee, A. Understanding information systems continuance: An expectation-confrmation model. MIS Quarterly, 25, 3 (2001), 351-370.
8. Boyd, M.; Huang, S.-M.; Jiang, J.J.; and Klein, G. Discrepancies between desired and perceived measures of performance of IS professionals: Views of the IS professionals themselves and the users. Information & Management, 44, 2 (2007), 188-195.
9. Brown, S.; Venkatesh, V.; and Goyal, S. Expectation confrmation in technology use. Information Systems Research, 23, 2 (2012), 474-487.
10. Chan, Y.E., and Reich, B.H. IT alignment: what have we learned? Journal of Information Technology, 22, 4 (2007), 297-315.
11. Chen, H.H.G.; Miller, R.; Jiang, J.J.; and Klein, G. Communication skills importance and profciency: Perception differences between IS staff and IS users. International Journal of Information Management, 25, 3 (2005), 215-227.
12. Cheung, C.M.K., and Lee, M.K.O. The asymmetric effect of Web site attribute performance on Web satisfaction: An empirical study. e-Service Journal, 3, 3 (2005), 65-86.
13. Cronin, J.J., Jr., and Taylor, S.A. Measuring service quality: A reexamination and extension. Journal of Marketing, 56, 3 (1992), 55-68.
14. Delone, W.H., and Mclean, E.R. The Deloan and Mclean model of information systems success: A ten-year update. Journal of Management Information Systems, 19, 4 (Spring 2003), 9-30.
15. Edwards, J.R. Regression analysis as an alternative to difference scores. Journal of Management, 20, 3 (1994), 683-689.
16. Edwards, J.R. The study of congruence in organizational behavior research: Critique and a proposed alternative. Organizational Behavior and Human Decision Processes, 58, 1 (1994), 51-100.
17. Edwards, J.R. Multidimensional constructs in organizational behavior research: An inte-grative analytical framework. Organizational Research Methods, 4, 2 (2001), 144-192.
18. Edwards, J.R. Alternatives to difference scores: Polynomial regression analysis and response surface methodology. In F. Drasgow and N.W. Schmitt (eds.), Advances in Measurement and Data Analysis. San Francisco: Jossey-Bass, 2002, pp. 350-400.
19. Edwards, J.R., and Parry, M.E. On the use of polynomial regression equations as an alternative to difference scores in organizational research. Academy of Management Journal, 36, 6 (1993), 1577-1613.
20. Efron, B., and Tibshirani, R.J. An Introduction to the Bootstrap. New York: Chapman & Hall, 1993.
21. Einhorn, H.J., and Hogarth, R.M. Behavioral decision theory: Processes of judgment and choice. Annual Review of Psychology, 32 (1981), 53-88.
22. Falk, T.; Hammerschmidt, M.; and Schepers, J. The service quality-satisfaction link revisited: Exploring asymmetries and dynamics. Journal of the Academy of Marketing Science, 38, 3 (2010), 288-302.
23. Festinger, L.A. A Theory of Cognitive Dissonance. Stanford: Stanford University Press, 1957.
24. Fornell, C., and Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 1 (1981), 39-50.
25. Fox, J. Applied Regression Analysis and Generalized Linear Models. los Angeles: Sage, 2008.
26. Galletta, D.F., and Lederer, A.L. Some cautions on the measurement of user information satisfaction. Decision Sciences, 20, 3 (1989), 419-434.
27. Gefen, D., and Pavlou, P.A. The boundaries of trust and risk: The quadratic moderating role of institutional structures. Information Systems Research, 23, 3 (2012), 940-959.
28. Ginzberg, M.J. Early diagnosis of MIS implementation failure: Promising results and unanswered questions. Management Science, 27, 4 (1981), 459-478.
29. Gulas, C.S., and McKeage, K. Extending social comparison: An examination of the unintended consequences of idealized advertising imagery. Journal of Advertising, 29, 2 (2000), 17-28.
30. Hill, W.J., and Hunter, W.G. A review of response surface methodology: A literature survey. Technometrics, 8, 4 (1966), 571-590.
31. Hirschman, E.C., and Thompson, C.J. Why media matter: Toward a richer understanding of consumers' relationships with advertising and mass media. Journal of Advertising, 26, 1 (1997), 43-60.
32. Homburg, C.; Koschate, N.; and Hoyer, W.D. The role of cognition and affect in the formation of customer satisfaction: A dynamic perspective. Journal of Marketing, 70, 3 (2006), 21-31.
33. Huisman, M., and Iivari, J. Deployment of systems development methodologies: Perceptual congruence between IS managers and systems developers. Information & Management, 43, 1 (2006), 29-49.
34. Huston, T.L.; Houts, R.M.; Caughlin, J.P.; Smith, S.E.; and George, L.J. The connubial crucible: Newlywed years as predictors of marital delight, distress, and Divorce. Journal of Personality & Social Psychology, 80, 2 (2001), 237-252.
35. Ikegami, T. Positive-negative asymmetry of priming effects on impression formation. European Journal of Social Psychology, 23, 1 (1993), 1-16.
36. Jiang, J.J., and Klein, G. A discrepancy model of information system personnel turnover. Journal of Management Information Systems, 19, 2 (Summer 2002), 249-272.
37. Jiang, J.J.; Klein, G.; and Discenza, R. Perception differences of software success: Provider and user views of system metrics. Journal of Systems and Software, 63, 1 (2002), 17-27.
38. Jiang, J.J.; Klein, G.; Roan, J.; and Lin, J.T.M. IS service performance: Self-perceptions and user perceptions. Information & Management, 38, 8 (2001), 499-506.
39. Jiang, J.J.; Klein, G.; Tesch, D.; and Chen, H.-G. Closing the user and provider service quality gap. Communications of the ACM, 46, 2 (2003), 72-76.
40. Kahneman, D., and Tversky, A. Prospect theory: An analysis of decision under risk. Econometrica, 47, 2 (1979), 263-291.
41. Kahneman, D., and Tversky, A. Choices, values, and Frames. American Psychologist, 39, 4 (1984), 341-350.
42. Kettinger, W.J., and Choong, C.L. Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25, 5-6 (1994), 737-766.
43. Kettinger, W.J., and Lee, C.C. Zones of tolerance: Alternative scales for measuring information systems service quality. MIS Quarterly, 29, 4 (2005), 607-623.
44. Klein, G., and Jiang, J.J. Seeking consonance in information systems. Journal of Systems and Software, 56, 2 (2001), 195-202.
45. Klein, G.; Jiang, J.J.; and Cheney, P.H. Resolving difference score issues in information systems research. MIS Quarterly, 33, 4 (2009), 811-826.
46. Luftman, J., and Kempaiah, R. An update on business-IT alignment: "A line" has been drawn. MIS Quarterly Executive, 6, 3 (2007), 165-177.
47. Mittal, V.; Ross, W.T.; and Baldasare, P.M. The asymmetric impact of negative and positive attribute-level performance on overall satisfaction and repurchase intentions. Journal of Marketing, 62, 1 (1998), 33-47.
48. Moschis, G.P. Social comparison and informal group infuence. Journal of Marketing Research, 13, 3 (1976), 237-244.
49. Pitt, L.; Berthon, P.; and Lane, N. Gaps within the IS department: Barriers to service quality. Journal of Information Technology, 13, 3 (1998), 191-200.
50. Podsakoff, P.M., and Organ, D.W. Self-reports in organizational research: Problems and prospects. Journal of Management, 12, 4 (1986), 531-544.
51. Pratto, F., and John, O.P. Automatic vigilance: The attention-grabbing power of negative social information. Journal of Personality & Social Psychology, 61, 3 (1991), 380-391.
52. Reich, B.H., and Benbasat, I. Factors that infuence the social dimension of alignment between business and information technology objectives. MIS Quarterly, 24, 1 (2000), 81-113.
53. Sethi, V., and King, R.C. Nonlinear and noncompensatory models in user information satisfaction measurement. Information Systems Research, 10, 1 (1999), 87-96.
54. Shanock, L.; Baran, B.; Gentry, W.; Pattison, S.; and Heggestad, E. Polynomial regression with response surface analysis: A powerful approach for examining moderation and overcoming limitations of difference scores. Journal of Business and Psychology, 25, 4 (2010), 543-554.
55. Sheetz, S.D.; Henderson, D.; and Wallace, L. Understanding developer and manager perceptions of function points and source lines of code. Journal of Systems and Software, 82, (2009), 1540-1549.
56. Sivo, S.A.; Saunders, C.; Chang, Q.; and Jiang, J.J. How low should you go? low response rates and the validity of inference in IS questionnaire research. Journal of the Association for Information Systems, 7, 6 (2006), 351-414.
57. Srull, T.K., and Wyer, R.S. Advances in Social Cognition. Hillsdale, NJ: lawrence Erlbaum, 1988.
58. Szajna, B., and Scamell, R.W. The effects of information system user expectations on their performance and perceptions. MIS Quarterly, 17, 4 (1993), 493-516.
59. Tan, F.B., and Gallupe, R.B. Aligning business and information systems thinking: A cognitive approach. IEEE Transactions on Engineering Management, 53, 2 (2006), 223-237.
60. Teas, R.K. Expectations as a comparison standard in measuring service quality: An assessment of a reassessment. Journal of Marketing, 58, 1 (1994), 132-139.
61. Teo, T.S.H., and King, W.R. An assessment of perceptual differences between informants in information systems research. Omega, 25, 5 (1997), 557-566.
62. Tesch, D.; Miller, R.; Jiang, J.J.; and Klein, G. Perception and expectation gaps of information systems provider skills: The impact on user satisfaction. Information Systems Journal, 15, 4 (2005), 343-355.
63. Venkatesh, V., and Goyal, S. Expectation disconfrmation and technology adoption: Polynomial modeling and response surface analysis. MIS Quarterly, 34, 2 (2010), 281-303.
64. Ward, J., and Peppard, J. Reconciling the IT/business relationship: A troubled marriage in need of guidance. Journal of Strategic Information Systems, 5, 1 (1996), 37-65.
65. Watson, R.T.; Pitt, L.F.; and Kavan, C.B. Measuring information systems service quality: lessons from two longitudinal case studies. MIS Quarterly, 22, 1 (1998), 61-79.
66. Wickland, R., and Brehm, J. Perspectives on Cognitive Dissonance. New York: Halsted Press, 1976.
67. Zwass, V. Co-creation: Toward a taxonomy and an integrated research perspective. International Journal of Electronic Commerce, 15, 1 (2010), 11-48.