జర్నల్ ఆఫ్ మేనేజ్‌మెంట్ ఇన్ఫర్మేషన్ అండ్ డెసిషన్ సైన్సెస్

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నైరూప్య

Strategies for Supply Chain Management in the Industrial Sector of Thailand

Nopporn Bua-In

 Supply chain management is the key mechanism for business operation to achieve in the industrial sector by developing relationships and cooperation between organizations via modern information technology systems. The organization’s operating system has been developed. The digital readiness and business agility can increase productivity by sharing resources. The data is analyzed for effective business decisions. The potential skills of personnel in all aspects are enhanced to become proficient in all areas, especially the language that is necessary for communication. The Big DATA analytics capabilities is developed for the operational personnel to support the decision of the management. It can also reduce the risks in working as well as being ready to deal with the changes in customer behaviors and future industry developments in terms of trade barriers and competitive pressure. This will enable the continuous business operation and will also create the ability to compete fiercely. The digital readiness and business agility are the key strategies set for Thailand’s industrial business sector to have the potential to compete at the international level. The objective of this research was to study the strategies for supply chain management in the industrial sector of Thailand. The research population was executives in large industrial businesses and small and medium industrial businesses. The size of the sample group was determined for 500 persons. Both qualitative and quantitative researches were conducted using the Second Order Confirmatory Factor Analysis (SCFA). The qualitative research was conducted with the in-depth interview techniques and group discussion techniques. The hypothesis results were tested by conducting quantitative research. It was found that all 4 components had positive influence on the key strategies of Thailand’s industrial sector with the statistical significance at the .001 level. The most influential factor was Integration Strategy, followed by Information Communication Technology Strategy, Knowledge Management Strategy and Agile Supply Chain Strategy, respectively. The Second Order Confirmatory Factor Analysis was correspondent and harmonized with the empirical data CMIN/P=.113, CMIN/DF=1.121, GFI=.960, RMSEA=.016. The element weight was .93 – .98. 

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