Effect Mechanisms of Perceptual Congruence Between Information Systems Professionals and Users on Satisfaction with Service

With the proliferation of available electronic service channels for information systems (IS) users such as mobile or intranet services in companies, service interactions between IS users and IS professionals have become an increasingly important factor for organizational business-IT alignment. Despite the increasing relevance of such interactions, the implications of agreement or disagreement on the fulfillment of critical service quality factors for successful alignment and higher user satisfaction are far from being well understood. While prior research has extensively studied the question of matching different viewpoints on IS service quality in organizations, little or no attention has been paid to the role of perceptual congruence or incongruence in the dyadic relationship between IS professionals and users in forming user satisfaction with the IS function. Drawing on cognitive dissonance theory, prospect theory, and perceptual congruence research, this study examines survey responses from 169 matching pairs of IS professionals and users in different organizations and explains how perceptual fit patterns affect user satisfaction with the IS function. The paper demonstrates that perceptual congruence can, in and of itself, have an impact on user satisfaction, which goes beyond what was found before. Moreover, the results of the study reveal the relevance of nonlinear and asymmetric effect mechanisms arising from perceptual (in)congruence that may affect user satisfaction. This study extends our theoretical understanding of the role of perceptual alignment or misalignment on IS service quality factors in forming user satisfaction and lays the foundation for further study of the interplay between perceptions in the dyadic relationship between IS professionals and IS users. Managers who seek to encourage particular behaviors by the IS professionals or IS users may use the results of this study to reconcile the often troubled business-IT relationship.

[1]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[2]  Richard T. Watson,et al.  Measuring Information Systems Service Quality: Lessons From Two Longitudinal Case Studies , 1998, MIS Q..

[3]  Gary Klein,et al.  Seeking consonance in information systems , 2001, J. Syst. Softw..

[4]  Gary Klein,et al.  Closing the user and provider service quality gap , 2003, CACM.

[5]  Izak Benbasat,et al.  Factors That Influence the Social Dimension of Alignment Between Business and Information Technology Objectives , 2000, MIS Q..

[6]  Jeffrey R. Edwards,et al.  Regression Analysis as an Alternative to Difference Scores , 1994 .

[7]  William J. Kettinger,et al.  Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .

[8]  William J. Kettinger,et al.  Zones of Tolerance: Alternative Scales for Measuring Information Systems Service Quality , 2005, MIS Q..

[9]  L. Festinger.  A Theory of Cognitive Dissonance , 1957 .

[10]  Natalie A. Wyer,et al.  Advances in Social Cognition: Stereotype Activation and Inhibition , 1998 .

[11]  Michael J. Ginzberg,et al.  Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered Questions , 1981 .

[12]  John M. Ward,et al.  Reconciling the IT/business relationship: a troubled marriage in need of guidance , 1996, J. Strateg. Inf. Syst..

[13]  J. Fox,et al.  Applied Regression Analysis and Generalized Linear Models , 2008 .

[14]  R. Hogarth,et al.  BEHAVIORAL DECISION THEORY: PROCESSES OF JUDGMENT AND CHOICE , 1981 .

[15]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[16]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

[17]  J. Edwards.  The Study of Congruence in Organizational Behavior Research: Critique and a Proposed Alternative , 1994 .

[18]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[19]  William T. Ross,et al.  The Asymmetric Impact of Negative and Positive Attribute-Level Performance on Overall Satisfaction and Repurchase Intentions , 1998 .

[20]  Maik Hammerschmidt,et al.  The service quality-satisfaction link revisited: exploring asymmetries and dynamics , 2010 .

[21]  Blaize Horner Reich,et al.  IT alignment: what have we learned? , 2007, J. Inf. Technol..

[22]  O. John,et al.  Automatic vigilance: the attention-grabbing power of negative social information. , 1991, Journal of personality and social psychology.

[23]  Wayne D. Hoyer,et al.  The Role of Cognition and Affect in the Formation of Customer Satisfaction: A Dynamic Perspective , 2006 .

[24]  William J. Hill,et al.  A Review of Response Surface Methodology: A Literature Survey* , 1966 .

[25]  Eric D. Heggestad,et al.  Polynomial Regression with Response Surface Analysis: A Powerful Approach for Examining Moderation and Overcoming Limitations of Difference Scores , 2010 .

[26]  Thomas Hess,et al.  Service Quality in Software-as-a-Service: Developing the SaaS-Qual Measure and Examining Its Role in Usage Continuance , 2011, J. Manag. Inf. Syst..

[27]  Steven A. Taylor,et al.  Measuring Service Quality: A Reexamination and Extension , 1992 .

[28]  Vladimir Zwass,et al.  Co-Creation: Toward a Taxonomy and an Integrated Research Perspective , 2010, Int. J. Electron. Commer..

[29]  Qing Chang,et al.  How Low Should You Go? Low Response Rates and the Validity of Inference in IS Questionnaire Research , 2006, J. Assoc. Inf. Syst..

[30]  Richard W. Scamell,et al.  The Effects of Information System User Expectations on Their Performance and Perceptions , 1993, MIS Q..

[31]  Jerry N. Luftman,et al.  An Update on Business-IT Alignment: "A Line" Has Been Drawn , 2007, MIS Q. Executive.

[32]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[33]  R. Teas,et al.  Expectations as a Comparison Standard in Measuring Service Quality: An Assessment of a Reassessment , 1994 .

[34]  Leyland F. Pitt,et al.  Gaps within the IS department: barriers to service quality , 1998, J. Inf. Technol..

[35]  George P. Moschis,et al.  Social Comparison and Informal Group Influence , 1976 .

[36]  R. A. Wicklund,et al.  Perspectives on cognitive dissonance , 1976 .

[37]  Charles S. Gulas,et al.  Extending Social Comparison: An Examination of the Unintended Consequences of Idealized Advertising Imagery , 2000 .

[38]  Robert J. Kauffman,et al.  An Interdisciplinary Perspective on IT Services Management and Service Science , 2010, J. Manag. Inf. Syst..

[39]  K. Vohs,et al.  Case Western Reserve University , 1990 .

[40]  William R. King,et al.  An assessment of perceptual differences between informants in information systems research , 1997 .

[41]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[42]  Tomoko Ikegami,et al.  Positive‐negative asymmetry of priming effects on impression formation , 1993 .

[43]  Juhani Iivari,et al.  Deployment of systems development methodologies: Perceptual congruence between IS managers and systems developers , 2006, Inf. Manag..

[44]  Gary Klein,et al.  Perception and expectation gaps of information systems provider skills: the impact on user satisfaction , 2005, Inf. Syst. J..

[45]  R. Houts,et al.  The connubial crucible: newlywed years as predictors of marital delight, distress, and divorce. , 2001, Journal of personality and social psychology.

[46]  Gary Klein,et al.  Perception differences of software success: provider and user views of system metrics , 2002, J. Syst. Softw..

[47]  Elizabeth C. Hirschman,et al.  Why Media Matter: Toward a Richer Understanding of Consumers' Relationships with Advertising and Mass Media , 1997 .

[48]  Linda G. Wallace,et al.  Understanding developer and manager perceptions of function points and source lines of code , 2009, J. Syst. Softw..

[49]  Gary Klein,et al.  Resolving Difference Score Issues in Information Systems Research , 2009, MIS Q..

[50]  Gary Klein,et al.  A Discrepancy Model of Information System Personnel Turnover , 2002, J. Manag. Inf. Syst..

[51]  A. Tversky,et al.  Choices, Values, and Frames , 2000 .

[52]  Paul A. Pavlou,et al.  The Boundaries of Trust and Risk: The Quadratic Moderating Role of Institutional Structures , 2012, Inf. Syst. Res..

[53]  Ruth C. King,et al.  Nonlinear and Noncompensatory Models in User Information Satisfaction Measurement , 1999, Inf. Syst. Res..

[54]  Viswanath Venkatesh,et al.  Expectation Confirmation in Technology Use , 2012, Inf. Syst. Res..

[55]  Viswanath Venkatesh,et al.  E XPECTATION D ISCONFIRMATION AND T ECHNOLOGY A DOPTION : P OLYNOMIAL M ODELING AND R ESPONSE S URFACE A NALYSIS 1 , 2010 .

[56]  J. F. Dashiell,et al.  Theories of perception and the concept of structure. , 1955 .

[57]  Dennis F. Galletta,et al.  Some Cautions on the Measurement of User Information Satisfaction , 1989 .

[58]  Felix B. Tan,et al.  Aligning business and information systems thinking: a cognitive approach , 2006, IEEE Transactions on Engineering Management.

[59]  J. Edwards.  Alternatives to difference scores: Polynomial regression analysis and response surface methodology. , 2002 .

[60]  Gary Klein,et al.  IS service performance: self-perceptions and user perceptions , 2001, Inf. Manag..

[61]  Jeffrey R. Edwards,et al.  On the Use of Polynomial Regression Equations As An Alternative to Difference Scores in Organizational Research , 1993 .

[62]  Gary Klein,et al.  Communication skills importance and proficiency: perception differences between IS staff and IS users , 2005, Int. J. Inf. Manag..

[63]  Christy M. K. Cheung,et al.  The Asymmetric Effect of Web Site Attribute Performance on Web Satisfaction: An Empirical Study , 2005 .

[64]  Confirmation Model.  UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION- , 2001 .

[65]  J. Edwards.  Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical Framework , 2001 .

[66]  Gary Klein,et al.  Discrepancies between desired and perceived measures of performance of IS professionals: Views of the IS professionals themselves and the users , 2007, Inf. Manag..

[67]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[68]  Francis J. Yammarino,et al.  SELF‐OTHER AGREEMENT: DOES IT REALLY MATTER? , 1998 .