An Investigation of the Determinants of Knowledge Management Systems Success in Banking Industry

The efficient knowledge management system (KMS) is one of the important strategies to help firms to achieve sustainable competitive advantages, but little research has been conducted to understand what contributes to the KMS success. This study thus set to investigate the determinants of KMS success in the context of Thai banking industry. A questionnaire survey was conducted in four major Thai Banks to test the proposed KMS Success model. The result of this study shows that KMS use and user satisfaction relate significantly to the success of KMS, and knowledge quality, service quality and trust lead to system use, and knowledge quality, system quality and trust lead to user satisfaction. However, this research focuses only on system and user-related factors. Future research thus can extend to study factors such as management support and organization readiness.

Authors:

• Nantapanuwat Nattapol
• Ractham Peter
• Kaewkittipong Laddawan

Keywords:

• Knowledge
• Knowledge Management
• Knowledge Management system
• Knowledge Management System Success
• Banking Industry
• Thailand

References:

[1] Agourram, H., & Ingham, J. (2007). The impact of national culture on
the meaning of information system success at the user level. Journal of
Enterprise Information Management, 20(6), 641-656.
[2] Alavi,M., & Leidner, D. (1999). Knowledge management System: Issue,
challenges and benefits. Communication of AIS, 1(7).
[3] Alavi, M. (2000). Managing organization knowledge. In R. Zmud (Ed.).
Framing the Domains of IT Management, Cincinati, OH; Pinnaflex. 29-
50.
[4] Alavi, M., & Leidner, D. (2001). Review: Knowledge Management and
Knowledge Management Systems: Conceptual Foundations and
Research Issues. MIS Quarterly, 25(1), 107-136.
[5] Alton, Y.K. Chua. (2007). Business Insight (A Special Report); The
Curse of Success: Knowledge-management projects often look good in
the beginning; But then problems arise. Wall Street Journal, (Eastern
edition), R.8.
[6] Benard R., & Satir A. (1993). User satisfaction with EISs - meeting the
needs of executive users. Information Systems Management, 10(4), 21-
29.
[7] Brady, M.K., Cronin, J.J., & Brand, R.R. (2002). Performance-only
measurement of service quality: a replication and extension. Journal of
Business Research, 55(1), 17-31.
[8] Bose, R. (2004). Knowledge Management Metrics. Industrial
Management & data Systems, 104(6), 457-468.
[9] Chung-Hung Tsai, & Hwang-Yeh Chen Mar. (2007). Assessing
Knowledge Management System Success: An Empirical Study in
Taiwan's High-Tech Industry. Journal of American Academy of
Business, Cambridge, 10(2), 257-262.
[10] Comrey AL, & Lee HB. (1992). A first course in factor analysis.
Academic Press, San Diego, and University of California.
[11] Damodaran, L., and W. Olphert (2000). ÔÇÿBarriers ans Facilitators to the
Use of Knowledge Management Systems-, Behavior & Information
Technology, 19(6), 405-413.
[12] Davenport, T., D.W.D. Long, & M. Beers. (1998). Successful
Knowledge Management Projects. Sloan Management Review, 39(2):
43-59.
[13] DeLone, W.H., & E.R. McLean. (2003). The DeLone and McLean of
Information Systems Success: A Ten-Year Update. Journal of
Management Information System, 19(4), 9-30.
[14] E. Garrity, & E.G.L. Sanders. (1998). Introduction to information
systems success measurement, in: E.J. Garrity, G.L. Sanders (Eds.),
Information Systems Success Measurement, Idea Group Publishing
Harrisburg, PA, 1-12.
[15] Fraser, S.G., & Salter, G. (1995). A motivational view of information
systems success: A reinterpretation of Delone & McLean-s model.
Proceedings of the 6th Australasian Conference on Information Systems,
1, 119-140.
[16] Gallupe, B. (2001) ÔÇÿKnowledge Management Systems: Surveying the
Landscape-, International Journal of Management Reviews, 3(1), pp. 61-
77.
[17] Hair, J. F. J., Anderson, R. E., Tatham, R. L., & Black., W. C. (2006).
Multivariate Data Analysis (6th ed.). Upper Saddle River, NJ: Pearson
Prentice Hall.
[18] Halawi A Leila., D.B.A. (2005). Knowledge Management Systems-
Success in knowledge-based organizations: An empirical validation
utilizion the Delone and McLean IS Success Model. Nova Southeastern
University.
[19] Halawi A Leila, Richard V McCarthy, Jay E Aronson. (2008). An
empirical investigation of knowledge management systems success. The
Journal of Computer Information Systems, 48(2), 121.
[20] Hosmer, L.T. (1995). Trust:The Connecting Link between
Organizational Theory and Philosophical Ethics. Academy of
Management Review, 20(2), 379-403.
[21] Hu,P.Y.K., Liu Sheng, O.R., & Tam, K.Y. (1999). Examining the
technology acceptance model using physician acceptance of
telemedicine technology. Journal of Management of information
Systems, 16(2), 91-112
[22] Inkpen, A. C. (1996). Creating Knowledge through Collaboration.
California Management Review, 39(1), 123-140.
[23] Jen-Her Wu, & Yu-Min Wang. (2006) Measurement KMS success: A
respecification of the DeLone and McLean-s model. Information &
Management, 43, 728-739.
[24] Jennex, M.E., & Olfman, L. (2003). A Knowledge Management Success
Model : An Extension of Delone and McLean-s IS Success Model.
Ninth Americas Conference on Information Systems, AMCIS, Tampa,
Fl.
[25] Kamla Ali Al-Busaidi. (2005). A Socio -Technical Investigation of the
Determinants of Knowledge Management Systems Usage, 137-138.
[26] Kutner, Michael H., Christopher J., Nachtsheim, John Neter, & William
Li. (2005). Applied linear statistical models (5th ed.). Boston: McGraw-
Hill.
[27] Malhotra, Y. (2005). Integrating Knowledge Management Technologies
in Organizational Business Processes: Getting Real Time Enterprises to
Deliver Real Business Performance. Journal of Knowledge
Management, (9:1), 7-28.
[28] McGill, T., V. Hobbs, & J. Klobas. (2003). User-Developed Application
and Information Systems Success: A Test of DeLone and McLean
Model. Information Resource Management Journal, 16(1), 24-45.
[29] Nunnally. J.C. (1978). Psychomatic theory (2nd ed.). New York:
Mcgraw-Hrill.
Parasuraman, A., Valarie, A., Zeithamal, & Leonard L.B. (1985). A
Conceptual Model of Service Quality and Its Implications for Future
Research. Journal of Marketing, 49, 41-50.
[30] Nunnally, J.C. and Bernstien, I. H. Psychoemetric Theory, 3rd ed. New
York: McGraw-Hill, 1993.
[31] R. Maier. (2004). Knowledge Management Systems: Information and
Communication Technologies for Knowledge Management, Springer-
Verlag, New York, UK.41-50.
[32] Roberts, J. (2000). From Know-How to Show-How- Questioning the
Role of Information and Communication Technologies in Knowledge
Transfer. Technoloy Analysis and Strategic Management, 12(4), 429-
443.
[33] Seddon, P.B., & M. Y. Kiew. (1996). A Partial Test and Development
ok DeLone and McLean-s Model of IS success. Australian Journal of
Information System, 4(1), 90-109.
[34] Stair, R.M., & G.W. Reynolds. (1999). Principles of Information
Systems: A Managerial Approach (4th ed.). Cambridge MA: Course
Technology.
[35] Tanya McGill, Valerie Hobbs, & Jane Klobas. (2003). User-developed
applications and information systems success: A test of DeLone and
Mclean. Information Resources Management Journal, 16(1), 24.
[36] Tiwana, Amrit. (2000). The Knowledge management toolkit :
practicecal techniques for building a knowledge management system.
Upper Saddle River, NJ: Prentice Hall.
[37] Turban, et al. (2001). Introduction to Information Technology. Toronto:
John Wiley & Sons.
[38] Turban, & Jay E. Aronson. (2002). Decision Support System and
Intelligent System (6th ed). Prentice Hall International, Inc.
[39] Turban, et al. (2004). Information Technology for Management:
Transforming Organizations in the Digital Economy (4th ed.). New
Jersey: John Wiley & Sons.
[40] Turban, Leidner, McLean, & Wetherbe. (2006). Information Technology
For Management (5th ed).