The Contingent Effects of Training, Technical Complexity, and Task Interdependence on Successful Information Systems Implementation

Research has investigated the main effect of training on information systems implementation success. However, empirical support for this model is inconsistent. We propose a contingent model in which the effect of training on IS implementation success is a function of technical complexity and task interdependence. A meta-analysis of the literature finds strong support for the model, explaining the inconsistent findings reported in the literature. Implications for theory and practice are discussed.

[1]  Peter B. Seddon A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[2]  Peter G. W. Keen,et al.  Organizational strategies for personal computing in decision support systems , 1981 .

[3]  Alan R. Dennis,et al.  Beta Versus VHS and the Acceptance of Electronic Brainstorming Technology , 2004, MIS Q..

[4]  Andrea B. Hollingshead,et al.  Potential Benefits of Communication in Transactive Memory Systems , 2003 .

[5]  Toni M. Somers,et al.  Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument: Replication within an ERP Domain , 2003, Decis. Sci..

[6]  R. Moreland,et al.  Group Versus Individual Training and Group Performance: The Mediating Role of Transactive Memory , 1995 .

[7]  Tor Guimaraes,et al.  The Determinants of DSS Success: An Integrated Model* , 1992 .

[8]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[9]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[10]  Kyle Lewis,et al.  Knowledge and Performance in Knowledge-Worker Teams: A Longitudinal Study of Transactive Memory Systems , 2004, Manag. Sci..

[11]  Lorne Olfman,et al.  End-user training and learning , 1995, CACM.

[12]  Rajiv Kohli,et al.  Measuring Information Technology Payoff: A Meta - Analysis of Structural Variables in Firm - Level Empirical Research , 2003, Inf. Syst. Res..

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

[14]  Young-Gul Kim,et al.  Critical Factors for Assimilation of Object-Oriented Programming Languages , 2002, J. Manag. Inf. Syst..

[15]  Barton Lee Dahmer,et al.  Factors associated with implementation and usage of technology-based training: developing and testing a technology implementation model , 1994 .

[16]  D. Wegner Transactive Memory: A Contemporary Analysis of the Group Mind , 1987 .

[17]  G. Premkumar,et al.  Adoption of new information technologies in rural small businesses , 1999 .

[18]  Rajeev Sharma,et al.  The Contingent Effects of Management Support and Task Interdependence on Successful Information Systems Implementation , 2003, MIS Q..

[19]  Robert W. Stone,et al.  The assimilation of computer-aided marketing activities , 2001, Inf. Manag..

[20]  Lorne Olfman,et al.  Rethinking end-user training strategy: applying a hierarchical knowledge-level model , 1999 .

[21]  Chris F. Kemerer,et al.  The assimilation of software process innovations: an organizational learning perspective , 1997 .

[22]  Injai Kim The effects of individual, managerial, organizational, and environmental factors on the adoption of object orientation in United States organizations: An empirical test of the Technology Acceptance Model , 1996 .

[23]  Rajeev Sharma,et al.  Successful IS innovation: the contingent contributions of innovation characteristics and implementation process , 1999, J. Inf. Technol..

[24]  John E. Hunter,et al.  Methods of Meta-Analysis: Correcting Error and Bias in Research Findings , 1991 .

[25]  Radhika Santhanam,et al.  Improving End-User Proficiency: Effects of Conceptual Training and Nature of Interaction , 1994, Inf. Syst. Res..

[26]  Wanda J. Orlikowski,et al.  Research Commentary: Desperately Seeking the "IT" in IT Research - A Call to Theorizing the IT Artifact , 2001, Inf. Syst. Res..

[27]  Izak Benbasat,et al.  The Identity Crisis Within the IS Discipline: Defining and Communicating the Discipline's Core Properties , 2003, MIS Q..

[28]  D. Wegner,et al.  Cognitive interdependence in close relationships , 1985 .

[29]  D. Godschalk,et al.  HUMAN FACTORS IN ADOPTION OF GEOGRAPHIC INFORMATION SYSTEMS: A LOCAL GOVERNMENT CASE STUDY , 1996 .

[30]  G. Pisano,et al.  Disrupted Routines: Team Learning and New Technology Implementation in Hospitals , 2001 .

[31]  Jeanne W. Ross,et al.  Learning to Implement Enterprise Systems: An Exploratory Study of the Dialectics of Change , 2002, J. Manag. Inf. Syst..

[32]  Jaehoon Whang An empirical study of factors influencing interorganizational information systems implementation: A case of the real estate industry , 1992 .

[33]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[34]  D. Leonard-Barton,et al.  Managerial influence in the implementation of new technology , 1988 .

[35]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

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

[37]  AttewellPaul Technology Diffusion and Organizational Learning , 1992 .

[38]  Sue Newell,et al.  Central Agencies in the Diffusion and Design of Technology: A Comparison of the UK and Sweden , 1999 .

[39]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[40]  G. Glass,et al.  Meta-analysis in social research , 1981 .

[41]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[42]  Paul H. Cheney,et al.  Concepts, Theory, and Techniques: FACTORS AFFECTING THE PERCEIVED UTILIZATION OF COMPUTER-BASED DECISION SUPPORT SYSTEMS IN THE OIL INDUSTRY , 1982 .

[43]  L. Argote Organizational Learning: Creating, Retaining and Transferring Knowledge , 1999 .

[44]  R. Ryan Nelson,et al.  The assessment of end-user training needs , 1995, CACM.

[45]  Radhika Santhanam,et al.  An empirical investigation of ODSS impact on individuals and organizations , 2000, Decis. Support Syst..

[46]  Andrea B. Hollingshead,et al.  Transactive Memory Systems in Organizations: Matching Tasks, Expertise, and People , 2004, Organ. Sci..

[47]  Paul H. Cheney,et al.  Training End Users: An Exploratory Study , 1987, MIS Q..

[48]  Juhani Iivari,et al.  The impact of case on IS professionals' work and motivation to use case , 1997, ICIS '97.

[49]  Robert G. Fichman,et al.  International Conference on Information Systems ( ICIS ) 1992 INFORMATION TECHNOLOGY DIFFUSION : A REVIEW OF EMPIRICAL RESEARCH , 2017 .

[50]  Fred D. Davis,et al.  Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition , 2003, Inf. Syst. Res..

[51]  Alan R. Dennis,et al.  Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis , 2001, MIS Q..

[52]  L. Hedges,et al.  Statistical Methods for Meta-Analysis , 1987 .

[53]  Michael J. Gallivan,et al.  Does Information Technology Training Really Matter? A Social Information Processing Analysis of Coworkers' Influence on IT Usage in the Workplace , 2005, J. Manag. Inf. Syst..

[54]  Maryam Alavi,et al.  Revisiting DSS Implementation Research: A Meta-Analysis of the Literature and Suggestions for Researchers , 1992, MIS Q..

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

[56]  M. Ginzberg An organizational contingencies view of accounting and information systems implementation , 1980 .

[57]  Geoffry S. Howard,et al.  Discretionary Use of Computers: An Empirically Derived Explanatory Model* , 1991 .

[58]  William H. DeLone Determinants of Success for Computer Usage in Small Business , 1988, MIS Q..

[59]  Robert W. Zmud,et al.  The Nature and Determinants of IT Acceptance, Routinization, and Infusion , 1993, Diffusion, Transfer and Implementation of Information Technology.

[60]  T. Cook,et al.  Quasi-experimentation: Design & analysis issues for field settings , 1979 .

[61]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[62]  Thiagarajan Ravichandran,et al.  Organizational assimilation of complex technologies: an empirical study of component-based software development , 2005, IEEE Transactions on Engineering Management.

[63]  Radhika Santhanam,et al.  A Longitudinal Field Study of Training Practices in a Collaborative Application Environment , 2003, J. Manag. Inf. Syst..

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

[65]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[66]  LewisKyle Knowledge and Performance in Knowledge-Worker Teams , 2004 .

[67]  Chris Sauer,et al.  Why information systems fail: a case study approach , 1993 .

[68]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[69]  Shashi Rao Karpur Factors associated with perceptions of productivity and usage of information technology in a service organization , 1992 .

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