Small enterprises are key goals to stabilizing the economy of a developing country; however, entrepreneurs still lack business administration experience. In this paper, we will give a view of the influence factor of small enterprises that entrepreneurship must be concerned with before they decide to set up a small business. For this research, we collected and analyzed data using both qualitative and quantitative methods. We conducted in-depth interviews with 45 entrepreneurs in northeast Thailand and analyzed the data collected by doing a content analysis. We also provide 400 questionnaires to entrepreneurs in 10 provinces in northeastern Thailand, and then we used factor analysis and multiple regression to analyze the data collected. From this analysis, we found seven factors that influence small enterprises: (1) knowledge and skills, (2) performance, (3) technology, (4) owner attitude, (5) motivation, (6) finances and capital, and (7) creativity. The total variance was 56.013%, and a Kaiser-Myyer-Olkin ( KMO) score of = 0.909 was obtained from this study.
Industry outsourcing has become a significant feature of industrialisation in Southeast Asia. This study presents the findings of a study of smaller industrial enterprises in Northeast Thailand that outsource some of their operations to workers in rural villages. It was found that social relationships rather than formal contracts are critical in the management and spread of such outsourcing and that industries use outsourcing primarily as a flexible strategy to lower costs of production.
The purpose of this research was to study causal variables affecting outsourcing of rural industry management in northeast Thailand. This study focused on entrepreneurs in small and medium enterprises in the manufacturing sector. A path analysis technique with multiple regression method was used as a tool to analyze the influence of factors in rural industry outsourcing. According to the analysis, we found three factors directly affecting rural industry outsourcing management: (1) cost of production, (2) facilities of management and production efficiency and (3) potential for subcontracting. We also found that rural industry outsourcing management was indirectly influenced by two additional factors: (1) government policies and law, and (2) the environment of the outsourcing area. A coefficient of determination of R2 = 0.244 and Durbin-W Aston = 1.936 were obtained in the study.
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