Third Generation Knowledge Management Systems: Towards an Augmented Technology Acceptance Model

The paper examines the applicability and sufficiency of the Technology Acceptance Model (TAM) in the context of social software and newer generation knowledge management systems (KMS). A reinterpretation of the two TAM constructs "Perceived Usefulness" and "Perceived Ease of Use" in light of expectancy-valence theory reveals that the TAM predominantly focuses on performance expectations on different behavioral levels and, thus, fails to account for the entire range of drivers and barriers related to KMS usage.

[1]  William H. Money,et al.  Application of the technology acceptance model to a knowledge management system , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[2]  Gabriela Avram,et al.  At the Crossroads of Knowledge Management and Social Software , 2005 .

[3]  M. Huysman,et al.  Practices of managing knowledge sharing: towards a second wave of knowledge management , 2004 .

[4]  S. Karau,et al.  Understanding individual motivation in groups: The collective effort model. , 2001 .

[5]  J. Shepperd.  Productivity loss in performance groups: A motivation analysis. , 1993 .

[6]  David Snowden,et al.  The First Age: Information for Decision Support 1995: the Transition to the Second Age Complex Acts of Knowing: Paradox and Descriptive Self-awareness , 2022 .

[7]  Angel Cabrera,et al.  Knowledge-Sharing Dilemmas , 2002 .

[8]  Alexander Ardichvili,et al.  Motivation and barriers to participation in virtual knowledge-sharing communities of practice , 2003, J. Knowl. Manag..

[9]  Dov Te'eni,et al.  Human-Computer Interaction: Developing Effective Organizational Information Systems , 2006 .

[10]  Ronald Maier,et al.  Modell für die Er folgsmessung von Wissensmanagementsystemen , 2001, Wirtschaftsinf..

[11]  Gee-Woo Bock,et al.  An Empirical Study on Measuring the Success of Knowledge Repository Systems , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[12]  Kipling D. Williams,et al.  PROCESSES Social Loafing: A Meta-Analytic Review and Theoretical Integration , 2022 .

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

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

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

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

[17]  K. Williams,et al.  Many Hands Make Light the Work: The Causes and Consequences of Social Loafing , 1979 .

[18]  Guido Hertel,et al.  Motivation of software developers in Open Source projects: an Internet-based survey of contributors to the Linux kernel , 2003 .

[19]  A. Bandura.  Social cognitive theory: an agentic perspective. , 1999, Annual review of psychology.

[20]  Lyman W. Porter,et al.  Managerial attitudes and performance , 1968 .

[21]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[22]  Y. Malhotra.  Why Knowledge Management Systems Fail: Enablers and Constraints of Knowledge Management in Human Enterprises , 2004 .

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

[24]  Morten T. Hansen,et al.  What's your strategy for managing knowledge? , 1999, Harvard business review.

[25]  V. Vroom.  Work and motivation , 1964 .

[26]  N. Eagle.  Can serendipity be planned , 2004 .

[27]  Peter Schütt,et al.  The post-Nonaka Knowledge Management , 2003, J. Univers. Comput. Sci..

[28]  Gabriela Avram,et al.  At the Crossroads of Knowledge Management with Social Software , 2005, ECKM.

[29]  Thomas Kalling,et al.  Organisation-internal Transfer of Knowledge and the Role of Motivation. A Qualitative Study , 2003 .

[30]  Robert E. Kraut,et al.  Experiment 1 : Motivating Conversational Contributions Through Group Homogeneity and Individual Uniqueness , 2010 .

[31]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[32]  John C. Thomas,et al.  The knowledge management puzzle: Human and social factors in knowledge management , 2001, IBM Syst. J..