Strategy for managing the elderly workforce of entrepreneurs in Bangkok

Main Article Content

Rungarun khasasin
Arjaree Prachuamoh
Kairung Khasasin
Thantip Pojsupap

Abstract

The study the influence of labor management strategies. Workspace management for efficient work and knowledge management for the elderly workforce Pass on knowledge management to the elderly workforce from managing differences in each area to expectations for organizational performance. and study an appropriate model of planning to support the management of elderly workers in the Thai business sector. It is a mixed research method using questionnaires as a tool to collect data from groups of entrepreneurs with 15 or more employees in Bangkok area Set a sample of 400, using simple random sampling. Test hypotheses by analyzing percentages, means, and standard deviations. and structural equation models


The results of the study found that elderly labor management has a direct and indirect influence on knowledge management among elderly workers. There is a direct influence value of -0.382, an indirect influence value of 0.746, and a total influence value of 0.364, with statistical significance at the 0.01 level and management of work areas for effective work. There is a direct positive influence on knowledge management among workers of different ages. with an indirect influence value of 0.948 and a total influence value of 1.136 with statistical significance at the 0.01 level. Strategic planning for labor management. Management of work areas for efficient work and knowledge management of the elderly workforce Influence the perception of the organization's performance. It was found that the elderly labor management It has an indirect positive influence on the perception of organizational performance. There is knowledge management among elderly workers. It is a pass-through separator variable. The total influence value is 0.304, with statistical significance at the 0.01 level.

Article Details

How to Cite
khasasin, R., Prachuamoh, A., Khasasin, K., & Pojsupap, T. (2024). Strategy for managing the elderly workforce of entrepreneurs in Bangkok. Journal of Educational Innovation and Research, 8(1), 133–149. https://doi.org/10.14456/jeir.2024.9
Section
Research Article

References

Amonvatana, C. et al. (2008) The research on direction and measure to enhance employment of the elderly [Office of the National Economic and Social Development Board (NESDB)].

Bricki, N. and Green, J. (2007). A Guide to Using Qualitative Research Methodology. Retrieved October 31, 2022, from https://fieldresearch.msf.org/handle/10144/84230

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.

Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: Harper Collins Publishers.

Duggan, M. (2015). Mobile Messaging and Social Media-2015. Washington, DC: Pew Research Center. The Journal of Dermatology, 23(4), 127–184.

Muszynska, M.M., and Rau, R. (2012). The Old-Age Healthy Dependency Ratio in Europe. Journal of Population Ageing, 5(3), 151-162.

Richard, L. (2000). Corporate Strategy. 3rd Ed. Essex, England: Pearson Education.

Westland, J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9(6), 476–487.

Word Health Organization. (2002). Active Ageing; A Policy Framework, Geneva: World Health 10, February 2020. Retrieved October 31, 2022, from https://www.who.int/ageing/publications/active_ageing/en/