| Summary: | 碩士 === 國立虎尾科技大學 === 工業工程與管理研究所 === 101 === Due to constant changes of the overall global environment and markets, in order for enterprises to achieve business continuity and create greater interest, in addition to the enhancement of entrepreneurial capability, how to rapidly respond to a crisis arising from risks remains the key to survival. Hence, enterprises must explore risks that likely arise as a result of raw materials, manufacture, distribution, and intermediate processes at the client end.
Taiwan’s food industry development is faced with high raw material costs, high import tariffs levied on imported goods, high labor wage costs, and higher costs for environmental protection and land compared to neighboring countries. Additionally, due to inadequate funding for research and development and incomplete market information systems, industrial upgrade has been slow. Moreover, Taiwan is unable to attract talents and laborers to engage in the food industry due to the relatively low labor wages. On the contrary, foreign foods with low import prices and unique characteristics have a direct impact on our country’s local food industry. Furthermore, the financial crisis, Europe’s debt crisis, and other chain reactions that have impacted the global economy and have constantly given rise to supply chain problems have had a tremendous impact on the food industry.
The relevant literatures were first collected to explore the risks faced by the enterprises. Interviews with the food operators were then conducted to construct risk factors that likely cause disruptions of the food industry’s supply chain. After the questionnaire dimension factors and question contents were produced, the questionnaire survey was conducted on the food operators. The Structural Equation Modeling (SEM) analysis method was adopted to evaluate the impact on the food industry’s overall supply chain risk hazards. First, the AMOS data statistical tool of SEM was used for the analysis. The results show that as the number of samples failed to reach the required standard of AMOS, the SEM’s empirical significance was poor. The reason for this outcome is that the food industry was adopted in this study as the body for analysis. Due to the limitation of the small number of recovered survey samples, the Partial Least Squares (PLS) was further adopted as the research method. A number of studies have confirmed that, unlike SEM, PLS does not require a large number of sample that only a small number of samples is required to obtain significant results, which served as the conclusions in this study.
According to the PLS results, the path observation shows that “external supply chain risks,” “internal organization supply chain risks,” and “supply network” have a significantly and directly negative impact on “supply chain risk impact” and “enterprise impact.” On the other hand, “external supply chain risks” have a significantly negative impact on “internal organization supply chain risks.” Based on the path intensity observed, the direct impact of the “internal supply chain risks” causes the greatest impact. Thus, food industry executives may take precautionary measures from the aspects of “man-made disasters,” “products,” and “information.”
The analysis results in this study can help food industry operators to determine which type of influence and relationship the overall supply chain risks fall on. They will also be able to clearly gain an insight into the important factors contributing to the supply chain risk types the food industry is faced with. The conclusions shall serve as a reference for food business executives concerned in order to adopt more effective prevention and response strategies targeting the risk factors.
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