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Structural Equation Model of the Development Transformation Labor for Support in Machinery and Automotive Robot Technology in the Eastern Economic Corridor (EEC) Thailand |
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| รหัสดีโอไอ | |
| Creator | Chainat Pansantia |
| Title | Structural Equation Model of the Development Transformation Labor for Support in Machinery and Automotive Robot Technology in the Eastern Economic Corridor (EEC) Thailand |
| Publisher | Department of Information ScienceFaculty of Humanities and Social Sciences, Khon Kaen University |
| Publication Year | 2565 |
| Journal Title | Journal of Information Science |
| Journal Vol. | 40 |
| Journal No. | 4 |
| Page no. | 56-70 |
| Keyword | Structural Equation Model, Factors, Development, Labor, Automotive, Automotive Industrial |
| URL Website | https://www.tci-thaijo.org/index.php/jiskku/index |
| Website title | Journal of Information Science |
| ISSN | 2773-8841 |
| Abstract | Purpose: This study strived to establish a structural equation model for enhancing the development of labor forces to support the machinery and automotive robot technology transformation in the Eastern Economic Corridor (EEC)Thailand.Methodology: The study indicators were derived from related research studies and literature reviews, and data collection was conducted through the 5-point scale questionnaires distributed to 222 top executives or their representatives of automotive industrial business located in the EEC Thailand. The collected data were thereafter analyzed using structural equation modeling.Findings: Analysis of the data revealed that the newly developed structural equation model corresponded to the literature reviews and empirical data reporting p-value = 0.06, CMIN/DF = 1.22, GFI = 0.93, RMSEA = 0.03 and p = .01 which conformed with the set criteria for the results of variable analysis. When determining the overall impacts of the model, it was found that the knowledge element had direct effects on the skill element (DE = 0.52) and on moral (DE = 0.93). Besides, the knowledge had indirect effect on the results (IE = 0.92).Applications of this study: Findings from this study make automotive industrial businessmen aware of the factors which lead to the development of automotive workforces in the EEC Thailand in or order to survive amid new economy and rapidly changing world. |
