Factors Influencing Knowledge Management Process Model: A Case Study of Manufacturing Industry in Thailand
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Factors Influencing Knowledge Management Process Model: A Case Study of Manufacturing Industry in Thailand

Authors: Daranee Pimchangthong, Supaporn Tinprapa

Abstract:

The objectives of this research were to explore factors influencing knowledge management process in the manufacturing industry and develop a model to support knowledge management processes. The studied factors were technology infrastructure, human resource, knowledge sharing, and the culture of the organization. The knowledge management processes included discovery, capture, sharing, and application. Data were collected through questionnaires and analyzed using multiple linear regression and multiple correlation. The results found that technology infrastructure, human resource, knowledge sharing, and culture of the organization influenced the discovery and capture processes. However, knowledge sharing had no influence in sharing and application processes. A model to support knowledge management processes was developed, which indicated that sharing knowledge needed further improvement in the organization.

Keywords: knowledge management, knowledge management process, tacit knowledge

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083301

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References:


[1] Barney, J.B., "Looking inside for competitive advantage", The Academy of Management Executive, Vol. 9 No. 4, 1995, pp. 49-61.
[2] Becerra-Fernandez, I. and Sabherwal, R., "Knowledge Management: Systems and Processes", M.E. Sharpe, Inc., 2008.
[3] Bhatt, G.D., "Organizing knowledge in the knowledge development cycle", Journal of Knowledge Management, Vol. 4 No. 1, 2000, pp. 15- 26.
[4] Cavusgil, S. T., Calantone, R. J., & Zhao, Y. ,"Tacit knowledge transfer and firm innovation capability", Journal of Business and Industrial Marketing, 18(1), 2003, pp. 6-21.
[5] Chong, C., and Choi, S., Critical Factors in the Successful Implementation of KM. Journal of Knowledge Management Practice, 2005,
[Online] Available: http://www.tlainc.com/article90htm.
[6] Daniels, P.W. and Bryson, J.R., "Manufacturing services and serving manufacturing: knowledge-based cities and changing forms of production", Urban Studies, Vol. 39 Nos 5/6, 2002, pp. 977-91.
[7] Davenport, T., and Klahr, P., Managing Customer Support Knowledge. California Management Review, Vol.40, No.3, 1998, pp.195-208.
[8] Herschel, R.T. and Jones, N.E., "Knowledge management and business intelligence: the importance of integration", Journal of Knowledge Management, Vol. 9 No. 4, 2005, pp. 45-55.
[9] Lo, K.; Chin, K., "User-satisfaction-based knowledge management performance measurement", The International Journal of Quality & Reliability Management, 2009, 449-468.
[10] Marquardt,M. J., Building the Learning Organization". New York: McGraw-Hill. 1996.
[11] Mohammed, Wafa; Jalal, Akram, "The Influence of Knowledge Management System (KMS) on Enhancing Decision Making Process (DMP)", International Journal of Business and Management 6. 8 , 2011, pp. 216-229.
[12] Moffett, S., McAdam, R., and Parkinson, S., "An Empirical Analysis of Knowledge Management Applications", Journal of Knowledge Management, Vol. 7, No.3, 2003, pp.6-26.
[13] Negnevitsky, M., "Artificial Intelligence Systems: A Guide to Intelligent Systems", Pearson Education Limited, 2005.
[14] Shapira, P., Youtie, J., Yogeesvaran, K. and Jaafar, Z., "Knowledge economy measurement: methods, results and insights from the Malaysian Knowledge Content Study", Research Policy, Vol. 35 No. 10, 2006, pp. 1522-37.
[15] Uriarte, F., "Introduction to Knowledge Management", ASEAN Foundation, Jarkatar, Indonesia, 2008.