Journal de l'information de gestion et des sciences de la décision

1532-5806

Abstrait

Approaches for competency development of workforces in the manufacturing and service industry sector, eastern economic corridor (EEC): A case study of industrial land in Rayong province in Thailand

Thongprasit, K.

The purpose to study and analyze the confirmatory factor of approaches for competency development of workforces in the manufacturing and service industry sector, Eastern Economic Corridor (EEC): a case study of industrial land in Rayong Province.

The sample group in the research was establishment administrators in the new target industries (S-Curve) in the Eastern Economic Corridor (EEC) of the industrial land in Rayong Province, with a total number of 488 individuals. The research instrument was a questionnaire with a rating scale with 5 levels according to the Likert method. The statistics used in the data analysis were frequency, percentage, mean, standard deviation, and index values used to determine the coherence of the model with the empirical data by confirmatory factor analysis.

Establishment administrators in new target industries (S-Curve) Eastern Economic Corridor (EEC) of industrial land in Rayong Province had opinions on approaches for competency development of workforces in the manufacturing and service industry sector, Eastern Economic Corridor (EEC): a case study of industrial land in Rayong Province, for overall and in every aspect, at a high level.

The model of approaches for competency development of workforces in the manufacturing and service industry sector, Eastern Economic Corridor (EEC): a case study of industrial land in Rayong Province was consistent with the empirical data (2=282.66, df=249, p=0.07, 2/df=1.13, GFI=0.96, AGFI=0.94, RMSEA=0.016), which consisted of The knowledge factor consisted of 13 indicators, the skill factor consisted of 7 indicators, and the desirable attributes factor consisted of 4 indicators. When sorting the importance of factors in descending order, it was found that the knowledge factor and skill factor are the most important, followed by the desirable attributes factor.

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