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Second Order Confirmatory Factor Analysis of Waste Reduction Measurement Model of Logistic Express Providers in Thailand: A Case Study of Nim Express Co., Ltd. |
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| รหัสดีโอไอ | |
| Creator | Sompon Thungwha |
| Title | Second Order Confirmatory Factor Analysis of Waste Reduction Measurement Model of Logistic Express Providers in Thailand: A Case Study of Nim Express Co., Ltd. |
| Contributor | Ratchasit Sewoksenee, Saowanee Samantreeporn |
| Publisher | Faculty of Management Science Nakhon Pathom Rajabhat University. |
| Publication Year | 2565 |
| Journal Title | Journal of Management Science Nakhon Pathom Rajabhat University |
| Journal Vol. | 9 |
| Journal No. | 1 |
| Page no. | 211-222 |
| Keyword | Waste Reduction, Factor Analysis, Logistic Express Provider |
| URL Website | https://so03.tci-thaijo.org/index.php/JMSNPRU/issue/view/17221 |
| Website title | https://so03.tci-thaijo.org/index.php/JMSNPRU/index |
| ISSN | 2392-5817 |
| Abstract | This study was designed to analyze the confirmatory second order factor analysis model of the waste reduction measurement model of logistic express providers in Thailand. The sample of the study was comprised of 205 administrators working for Nim Express Company Limited. The study instrument was a set of self-administrator questionnaires. The collected data were analyzed using percentage, mean, standard deviation, and confirmatory factor analysis.The results of the data analysis were as follows: 1. As a result of the analysis of the confirmatory second order factor model in comparison with the empirical data, it was found that there was consistency between the model and the empirical data is indicated by the following values: ??/df = 0.0873 P value = 0.94456 RMSEA = 0.00 CFI = 1.00 and SRMR = 0.046. Moreover, the measurement invariance test showed no variance in term of factors and observed variables. 2. It could be concluded that the three important factors were: waste reduction in logistics, waste reduction in waiting, and reduction in waste. It was deemed greatly significant that the model should be put in use precisely because the regression coefficients of the latent variables on the external variables were 1.00, 0.98, and 0.93. As for the factor relating to the waste reduction in production cost, the coefficient of the latent variable on the external variable was found to be 0.63. |
