Sakultra Siwasilchai, Nopporn Bua-in, Porntip Shoommuangpak
Aim: The objective of this research was to study the guidelines for successful supply chain management in industrial businesses. It was an inductive research using the mixed methodology research including qualitative research method with in-depth interview and quantitative research method with quantitative data collection from the supply chain executives representing 500 organizations of both large enterprise and small and medium enterprises (SMEs) to analyze and develop the structural equation modeling (SEM) and finally get the structural equation model with the perfection and congruence of empirical data
Finding: The results of the research revealed that the guidelines for successful supply chain management in industrial businesses at the highest percentage ware: strategic management focusing on quality, environment, and safety to meet the highest satisfaction of customers ; information technology focusing on the security of information system; knowledge management focusing on the application of knowledge, the analysis of knowledge, key performance indicator, and organization performance assessment; and integration focusing on teamwork with the performance and operation assessment throughout the supply chain. The results of research hypothesis test showed that the large enterprise and small and medium enterprises (SMEs) focused on the successful supply chain differently at statistical significance level of 0.05.
Conclusion: This research could be concluded that the success of guidelines for successful supply chain management in industrial businesses helped the entrepreneurs reduce the operation costs, and it was a good foundation of enhancing the competency of supply chain management to help the entrepreneurs’ competitiveness become international. The results of structural equation model analysis were proved by congruence evaluation criteria including Chi-square probability of .105, relative Chi-square of 1.106, index of item objective congruence of .960, and root mean square error of approximation of .016.