A study on the success factors for knowledge management in supply chains of electronics industry

Abstract: This research aimed to 1) study the success factors for knowledge management through electronics industry supply chains, and 2) study guidelines and recommendations regarding the success factors for knowledge management through electronics industry supply chains. The study employed the quantitative research methodology. The statistical devices used included frequency, percentage and Structure Equation Modeling (SEM). The population and sample group comprised executives of the electronics industry in the electronics and electrical appliances sector in Thailand. The results revealed that the factors regarding the information technology system, leadership support and knowledge management had positive effects on the success of the knowledge management through electronics industry supply chains with the statistical significance (β) of 0.519, 0.621 and 0.448, respectively. However, the factors regarding human resource management affected the success of the knowledge management negatively at the statistical significance of 0.323. As for the effects of variables on the success of the knowledge management, it was found that the factors with the most positive indirect effects (IE) and total effects (TE) were those regarding 1) leadership support (IE = 0.278, TE = 0.278), 2) information technology system (IE = 0.233, TE = 0.233), and 3) knowledge management, which had a positive direct effect (DE) at 0.448 and a total effect (TE) at 0.448. However, the factors regarding human resource management had a negative indirect effect (IE) on the success of the knowledge management at -0.145.

How to cite this paper

 Rattanawiboonsom, V. (2021). A study on the success factors for knowledge management in supply chains of electronics industry.Management Science Letters , 11(8), 2195-2202.

Refrences

Balian, A. G. (2005). Strategic management in a performance-based organization. University of Southern California.
Bandalos, D. L. (2018). Measurement theory and applications for the social sciences. Guilford Publications.
Chuang, C. H., Chen, S. J., & Chuang, C. W. (2013). Human resource management practices and organizational social cap-ital: The role of industrial characteristics. Journal of Business Research, 66(5), 678-687.
Comery, A. L., & Lee, H. B. (1992). A first course in factor analysis, 2nd ed.
Electrical and Electronics Industry Intelligence Unit. (2020). Export Values of Thailand’s Electronic Products (online). http://eiu.thaieei.com/ (19 January 2021).
Huizingh, E. (2007). Applied statistics with SPSS. Sage.
Kaplan, R. S., & Norton, D. P. (1996). Using the balanced scorecard as a strategic management system. Harvard Business Review, 74-75.
Kasikorn Research Center. (2020). Opportunities for Electronics Industry in Thailand (online). Retrieved 19 April 2020 from https://www.kasikornresearch.com/th/analysis/k-econ/business/Pages/z3037.aspx (19
Marquardt, M. J., Marquardt, M., & Reynolds, A. (1994). The global learning organization. Irwin Professional Pub.
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford university press.
Prasart Niyom. (2012). Factors Influencing Knowledge Sharing in Large Businesses in Thailand. Bangkok: Dhurakij Pun-dit University.
Rose, R. C., Kumar, N., & Yen, L. L. (2006). The dynamics of entrepreneurs’ success factors in influencing venture growth. The Journal of Entrepreneurship and Sustainability, 11, 1-19.
Senge, P. M. (1990). The Fifth Discipline: The Art and Practice of the Learning Organization. New York: Doubleday. 5th ed., New York: Currency Doubleday
Vaquera, E., & Kao, G. (2005). Private and public displays of affection among interracial and intra-racial adolescent cou-ples. Social Science Quarterly, 86, 484-508.