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Management Models For The Growth Of Beauty Clinic Entrepreneurs In Thailand |
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| รหัสดีโอไอ | |
| Creator | Peeyata Jatuten |
| Title | Management Models For The Growth Of Beauty Clinic Entrepreneurs In Thailand |
| Contributor | Suchart Prakthayanon, Buraporn Kumboon, Tiplawan Kaewnin |
| Publisher | DR.KET INSTITUTE OF ACADEMIC DEVELOPMENT AND PROMOTION |
| Publication Year | 2568 |
| Journal Title | Journal of Interdisciplinary Social Development |
| Journal Vol. | 3 |
| Journal No. | 1 |
| Page no. | 158-172 |
| Keyword | Business Growth, Business Management, Beauty Clinic Business |
| URL Website | https://so12.tci-thaijo.org/index.php/JISDIADP/article/view/871/561 |
| Website title | https://so12.tci-thaijo.org/index.php/JISDIADP/index |
| ISSN | 2822-1060 |
| Abstract | The objectives of this research were: (1) to study the direct, indirect and total influences of factors influencing beauty clinic business growth in Thailand, (2) to analyze variables influencing the growth of online market players in Thailand, and (3) to develop causal relationships between factors influencing the growth of online market players in Thailand. This research methodology was a quantitative.The sample size was determined 440 Data collection tools were questionnaires. The statistics used in this study were average percentage. Standard deviation and structural equation model analysis by Lisrel program.The research findings were found that:(1) factors influencing the growth management of beauty clinics in Thailand include service management, marketing management, business environment, e-business use, (2) service management, marketing management, business environment. e-commerce has a direct influence, indirect influence, and total influence on beauty growth in Thailand.(3) The model consistency index is consistent with empirical data. The Chi-square test is 775.64 χ2/df is 4.43 pvalue is 0.00 RMSEA is 0.088 CFI is 1. 00 RMR is 0.041, GFI is 0.97 and AGFI is 0.92 and (3) the growth management model of beauty clinic operators in Thailand is related when considering the correlation between model adjustment variables. |
