Second-Order Confirmatory Factor Analysis of the Contribution of the Tapioca Starch Industry in Green Supply Chain Management
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Abstract
Purpose: This research aims to analyze and verify the structural congruence of the second-order confirmatory factor model of green supply chain management in the Thai tapioca starch industry. Research design data, and methodology: Data were collected from 182 members of the Thai Tapioca Starch Association, who are involved in the production of cassava starch or cassava starch-based products. Out of the 182 surveys distributed, 102 were returned and analyzed using second-order confirmatory factor analysis. Results: The research results showed that there were three factors with the following weights: green transportation (DEL) with the highest factor loading value of 0.728, followed by green manufacturing (PRO) with the highest factor loading value of 0.728. 0.702, and the green purchasing (PUR) with the loading value of 0.513. Additionally, the model's goodness of fit was assessed with the second-order confirmatory factor analysis, resulting in a χ2 value of 22.290, p = 0.0222, χ2/df = 2.03, CFI = 0.971, and RMSEA = 0.084, which meet the criteria for a good fit. Conclusion: This research contributes to promoting and supporting activities aimed at enhancing the green supply chain management in the cassava starch industry, emphasizing responsibility towards the community, society, and the environment.
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