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A Model of Factors Contributing to the Effective Performance of Remote Working |
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| รหัสดีโอไอ | |
| Creator | Wanvicechanee Tanoamchard |
| Title | A Model of Factors Contributing to the Effective Performance of Remote Working |
| Contributor | Suraphong Kotcha |
| 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. | 2 |
| Page no. | 265-281 |
| Keyword | Remote working, Covid-19, Effective performance |
| URL Website | https://so03.tci-thaijo.org/index.php/JMSNPRU/issue/view/17375 |
| Website title | https://so03.tci-thaijo.org/index.php/JMSNPRU/index |
| ISSN | 2392-5817 |
| Abstract | This studyaims at to 1) examine the factors that contribute to the effective performance of employees who work by remote working, and 2) develop and confirm the model of factors contributing to the effective performance of remote working with empirical data. This study was a mixed-method using the exploratory sequential design. A qualitative researchwas used by applying the grounded theory strategy in the begin phase. Data were collected through in-depth interviewing with 39informants working remotely. A quantitative research was subsequently contributed by using questionnaires developed based on previous qualitative research findings with 360 people working remotely. The sample size was estimated using the method employed in the structural equation analysis, and participants were chosen using probability-based sampling. Data were analyzed using the Confirmatory Factor Analysis.The results of the research found that the factors affecting the efficiency of employees working remotely consisted of three main factors: 1) flexibility in working, 2) environmental suitability, and 3)organizational supports. According to the quantitative investigation, the model's consistency indexes were accepted in all aspects. As a result, the model was well consistent with empirical data (?2/df=1.63, GFI =0.97, AGFI =0.95, CFI =0.99, RMSEA = 0.05). When considering the component weights of the variables in the model, it was found that all variables were statistically significant.It could be confirmed that the model was appropriate and that the structural validity could be confirmed and supported by the qualitative findings. |
