Driving the Productivity of Small and Medium Enterprises under the Alliances of Government Agencies, Academic Agencies, and Business Networks

Main Article Content

Pitchayanin Petlomtong
Rapepun Piriyakul

Abstract

This research article aim to study the population and business characteristics of executives/entrepreneurs. The level of supporting factors: government, academic, business networks, firm capability, and firm performance. Influence of support from the government, academic, and business networks by using firm capability factor as a mediator and examining firm capability as a mediating variable. The model verification conducts of small and medium enterprises (SMEs) from the agriculture sector in lower-northern region 1 of Thailand as sampling units 120 samples. The sample size allocation by minimum value calculation and stratified random sampling by using descriptive statistics to illustrate population characteristics and inferential statistics for analysis of Structural Equation Models (SEM).


The results of this study show that the driven factors impact the firm’s productivity significantly with values equal to 0.307, 0.228, and 0.139 respectively. Besides, the inspection found that firm capability is not a mediator of business network and firm productivity.

Article Details

How to Cite
Petlomtong, P., & Piriyakul, R. (2022). Driving the Productivity of Small and Medium Enterprises under the Alliances of Government Agencies, Academic Agencies, and Business Networks. Ph.D. In Social Sciences Journal, 12(3), 759–776. Retrieved from https://so05.tci-thaijo.org/index.php/phdssj/article/view/245325
Section
Research Article

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