Prediction of Mutations in Small-And Medium-Sized Enterprise Entrepreneurs In The Retail Business Under The Antecedents
In this dissertation, the researcher examines the effects of firm competency, commercial networks, and financial access on the use of protective strategy, analytical strategy, and interactive strategy as the basis for predicting mutations. The sample population consisted of 400 small and medium sized enterprise entrepreneurs engaged in the retail business in five districts Bang Na, Bueng Kum, Khan Na Yao, Don Mueang, and Bang Rak of Bangkok Metropolis.
The research instrument was a questionnaire. Data were analyzed using the structural equation modeling (SEM) method. Findings are as follows: Entrepreneur competencies positively affected the use of protective strategy, analytical strategy, and interactive strategy at a statistically significant level. Commercial networks did not positively affect the use of protective strategy, and analytical strategy, but they did positively affect the use of interactive strategy at a statistically significant level. Furthermore, financial access positively affected the use of protective strategy, analytical strategy, and interactive strategy at a statistically significant level and positively affected analytical strategy at a statistically significant level. Protective strategy, analytical strategy, and interactive strategy did not positively affect the prediction of mutations.
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