Impact of task uncertainty, end-user involvement, and competence on the success of end-user computing

When compared to organizational computing, end-user computing (EUC) has the tendency to be closely related to individual user tasks and motivations. This article presents the results of an empirical study designed to examine the impact of task uncertainty and end-user involvement on the use and success of EUC. A research model was built and tested with a survey of 505 end-users in five large organizations. Structural equation modeling results confirm that both EUC competence and success are determined by task complexity and the perceived importance users attribute to EUC.

[1]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[2]  Jean-Nöel Kapferer,et al.  Comment mesurer le degré d'implication des consommateurs , 1983 .

[3]  Joseph C Davis,et al.  A typology of management information systems users and its implications for user information satisfaction research , 1985, SIGCPR '85.

[4]  Bart Victor,et al.  DETERMINANTS AND CONSEQUENCES OF TASK UNCERTAINTY: A LABORATORY AND FIELD INVESTIGATION , 1987 .

[5]  Donald L. Amoroso,et al.  Testing a Causal Model of End-User Application Effectiveness , 1991, J. Manag. Inf. Syst..

[6]  James C. Wetherbe,et al.  A Survey of 4GL Users and Applications , 1989 .

[7]  Arnie Kwong,et al.  Meet Arnie Kwong , 1986, Data Base.

[8]  R SumnerMary.  How should applications be developed , 1985 .

[9]  Iris Vessey,et al.  The Effect of User Involvement on System Success: A Contingency Approach , 1988, MIS Q..

[10]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory: , 1982 .

[11]  Rudy Hirschheim,et al.  Symbolism and Information Systems Development: Myth, Metaphor and Magic , 1991, Inf. Syst. Res..

[12]  Kuldeep Kumar,et al.  User cube: a taxonomy of end users , 1989, CACM.

[13]  R. Kelly Rainer,et al.  The Influence of Individual Differences on Skill in End-User Computing , 1992, J. Manag. Inf. Syst..

[14]  K. Jöreskog,et al.  A General Method of Estimating the Reliability of a Composite , 1978 .

[15]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[16]  Geoffry S. Howard.  Computer Anxiety and the Use of Microcomputers in Management , 1986 .

[17]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[18]  Louis Raymond,et al.  Personal DSS success in small enterprises , 1992, Inf. Manag..

[19]  Gayle J. Yaverbaum,et al.  Critical Factors in the User Environment: An Experimental Study of Users, Organizations and Tasks , 1988, MIS Q..

[20]  C. V. Brown,et al.  A research model for managing end-user computing: making sense of the past decade , 1992, Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences.

[21]  Suzanne Rivard,et al.  Investigating the Support Role of the Information Center , 1990, MIS Q..

[22]  Paul H. Cheney,et al.  Organizational Factors Affecting the Success of End-User Computing , 1986, J. Manag. Inf. Syst..

[23]  J. Webster,et al.  RESEARCH NOTES. PATTERNS OF INTEREST AROUND ISSUES: THE ROLE OF UNCERTAINTY AND FEASIBILITY. , 1988 .

[24]  William R. King,et al.  Determinants of the effectiveness of personal decision support systems , 1986, Inf. Manag..

[25]  John F. Rockart,et al.  The management of end user computing , 1983, CACM.

[26]  Kuldeep Kumar,et al.  A framework for analysing the extent and nature of end-user computing in organizations: a user-cube based approach , 1990, Twenty-Third Annual Hawaii International Conference on System Sciences.

[27]  D. Larcker,et al.  STRUCTURAL EQUATION MODELS WITH UNOBSERVABLE VARIABLES AND MEASUREMENT ERROR , 1981 .

[28]  Debra L. Nelson,et al.  Individual Adjustment to Information-Driven Technologies: A Critical Review , 1990, MIS Q..

[29]  François Bergeron,et al.  Assessment of End-User Computing from an Organizational Perspective , 1993 .

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

[31]  John Lehman.  Personal computing vs. personal computers , 1985, SIGCPR '85.

[32]  W A Randolph,et al.  The fit between technology and structure as a predictor of performance in nursing subunits. , 1985, Academy of Management journal. Academy of Management.

[33]  James D. Thompson.  Organizations in Action , 1967 .

[34]  Henri Barki,et al.  Rethinking the Concept of User Involvement , 1989, MIS Q..

[35]  Magid Igbaria,et al.  End-user computing effectiveness: A structural equation model , 1990 .

[36]  J. Dutton.  PATTERNS OF INTEREST AROUND ISSUES: THE ROLE OF UNCERTAINTY AND FEASIBILITY , 1988 .

[37]  R. Daft,et al.  A Tentative Exploration into the Amount and Equivocality of Information Processing in Organizational Work Units. , 1981 .

[38]  W. Doll,et al.  A discrepancy model of end-user computing involvement , 1989 .

[39]  Chetan S. Sankar,et al.  Tailoring Database Training for End Users , 1993, MIS Q..

[40]  Frances J. Milliken.  Three Types of Perceived Uncertainty About the Environment: State, Effect, and Response Uncertainty , 1987 .

[41]  Robert Drazin,et al.  Work-Unit Task Uncertainty, Design and Morale , 1989 .

[42]  Suzanne Rivard,et al.  An empirical study of users as application developers , 1985, Inf. Manag..

[43]  T. H. Kwon,et al.  Unifying the fragmented models of information systems implementation , 1987 .

[44]  Kathleen Foley Curley,et al.  Corporate MIS/DP and end user computing: the emergence of a new partnership , 1989, DATB.

[45]  Magid Igbaria,et al.  Microcomputer applications: An empirical look at usage , 1989, Inf. Manag..

[46]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[47]  K. Klein,et al.  Levels Issues in Theory Development, Data Collection, and Analysis , 1994 .

[48]  Mary J. Culnan,et al.  Chauffeured Versus End User Access to Commercial Databases , 1983, MIS Q..

[49]  G. Lawrence Sanders,et al.  An Experimental Validation of the Gorry and Scott Morton Framework , 1989, MIS Q..

[50]  Peretz Shoval,et al.  End-user prototyping: sophisticated users supporting system development , 1987, DATB.

[51]  Louis Raymond,et al.  Definition and Measurement of End User Computing Sophistication , 1996 .

[52]  James F. Courtney,et al.  A Field Study of Organizational Factors Influencing DSS Success , 1985, MIS Q..

[53]  H. Triandis.  Attitude and attitude change , 1971 .

[54]  James P. Walsh,et al.  Selectivity and selective perception: An investigation of managers''belief structures and informatio , 1988 .

[55]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[56]  Jay R. Galbraith.  Designing Complex Organizations , 1973 .

[57]  Ting-Peng Liang,et al.  Critical success factors of decision support systems: An experimental study , 1986, DATB.

[58]  William R. King,et al.  Impacts of End-User and Information Center Characteristics on End-User Computing Support , 1994, J. Manag. Inf. Syst..

[59]  Robert P. Bostrom,et al.  Effective Management of End-user Computing: A Total Organization Perspective , 1989, J. Manag. Inf. Syst..

[60]  Suzanne Rivard,et al.  Toward an Assessment of Software Development Risk , 1993, J. Manag. Inf. Syst..

[61]  Suzanne Rivard,et al.  Factors of success for end-user computing , 1988, CACM.

[62]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[63]  Richard L. Daft,et al.  Learning the Craft of Organizational Research , 1983 .

[64]  Huseyin Leblebici,et al.  Effects of Environmental Uncertainty on Information and Decision Processes in Banks. , 1981 .

[65]  Donald L. Amoroso,et al.  Organizational issues of end-user computing , 1988, DATB.

[66]  Mary Sumner,et al.  Information systems strategy and end-user application development , 1987, DATB.

[67]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.

[68]  J. Slocum,et al.  Uncertainty: Measures, Research, and Sources of Variation , 1975 .

[69]  A. V. D. Ven,et al.  Alternative forms of fit in contingency theory. , 1985 .

[70]  Lorne Olfman,et al.  The Importance of Learning Style in End-User Training , 1990, MIS Q..

[71]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..