Factors Influencing Knowledge Management Process Model: A Case Study of Manufacturing Industry in Thailand
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.
[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.
[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.
@article{"International Journal of Business, Human and Social Sciences:63612", author = "Daranee Pimchangthong and Supaporn Tinprapa", title = "Factors Influencing Knowledge Management Process Model: A Case Study of Manufacturing Industry in Thailand", 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", volume = "6", number = "4", pages = "673-4", }