Journal of Entrepreneurship Education (Print ISSN: 1098-8394; Online ISSN: 1528-2651)


Second Order Confirmatory Factor Analysis of Smart Agro-Industry Management Methods to Increase Productivities and Qualities

Author(s): Thanin Silpcharu, Krit Naruesinghsamran

Nowadays, the agricultural sector is encountering a lot of problems that need to be changed abruptly to become sustainable. The objective of this research is to study the smart agro-industry management methods to increase productivities and qualities. The sample group consisted of 500 agro-industry businesses. Second order confirmatory factor analysis was employed to acquire 5 components, namely Innovation, Knowledge Management, Information Technology, Resources, and Process. The results of the model analysis showed its result passed the assessment criteria in accordance with the empirical data and it was also found that Chi-square Probability Level was 0.061, Relative Chi-square was 1.136, Goodness of fit Index was 0.952 and Root Mean Square Error of Approximation was 0.017

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