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The influence of knowledge management on the preventive behavior against COVID-19 risk among students of Western University, Kanchanaburi |
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| รหัสดีโอไอ | |
| Creator | Sumalee chasan |
| Title | The influence of knowledge management on the preventive behavior against COVID-19 risk among students of Western University, Kanchanaburi |
| Contributor | Suthiratana Pimpong, Lawan Pholsompope, Areewan Teo-Rawb, Eua-arree Saliga |
| Publisher | Faculty of Management Science Nakhon Pathom Rajabhat University. |
| Publication Year | 2567 |
| Journal Title | Journal of Management Science Nakhon Pathom Rajabhat University |
| Journal Vol. | 11 |
| Journal No. | 1 |
| Page no. | 1-16 |
| Keyword | Knowledge Management, Preventive Behavior, Risk |
| URL Website | https://so03.tci-thaijo.org/index.php/JMSNPRU/issue/view/17771 |
| Website title | https://so03.tci-thaijo.org/index.php/JMSNPRU/index |
| ISSN | 2392-5817 |
| Abstract | This research aims to: 1. Compare the preventive behaviors against COVID-19 risk among students of Western University, Kanchanaburi, and 2. Study the influence of knowledge management on these preventive behaviors. Data were collected from nursing students in years 1-4, academic year 2022, at Western University, Kanchanaburi Campus, totaling 251 individuals, and from veterinary students in years 1-6, academic year 2022, at the same campus, totaling 50 individuals.The results of the research revealed that1) When comparing the preventive behaviors against COVID-19 risk among students at Western University, Kanchanaburi, statistically significant differences were observed in all aspects. The top three differences in preventive behaviors before and after the study were: maintaining a distance of about 1-2 meters when conversing with others, avoiding the consumption of raw or undercooked food, and wearing face masks when leaving home, in that order.2) The influence of knowledge management on the prevention and control of COVID-19 among students was evidenced by knowledge utilization (b=0.40) and knowledge creation (b=0.23). Factors that had an effect, but not to a statistically significant degree, included knowledge acquisition, knowledge sharing, and knowledge storing. The predictive power of the equation was 56.30%, and it could be written as follows:Ytot =0.31+011X1+0.23X2**+0.14X3+0.40X4**+0.05X5 |
