{"title":"工作压力源对员工职业倦怠的影响:一项针对不同专业人员的调查","authors":"D. Pandey, Nischal Risal","doi":"10.3126/mef.v13i01.56023","DOIUrl":null,"url":null,"abstract":"The study has focused on the impact of workplace stressors explained byworkload, work hours, unsupportive supervisors, and unfair treatment on employee burnout. The study adopted a quantitative research approach using a survey method. Professional employees of different sectors have been considered as the population. The 115 usable samples have been taken for the study purpose. The sample has been taken purposively. Five Point Likert Scale and multiple-choice questionnaire have been used for the collection of the data. Questionnaires have been administered online. SPSS and Microsoft Excel software has been used to analyze data. However, data were analyzed using correlation analysis and multiple regression analysis. The study results suggest that work hours are the major predictor of employee burnout among Nepalese professional employees, and workload, unfair treatment, and unsupportive supervisors have negligible contributions to the burnout of Nepalese professional employees.","PeriodicalId":313268,"journal":{"name":"Molung Educational Frontier","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Workplace Stressors on Employee Burnout: A Survey on Diversified Professionals\",\"authors\":\"D. Pandey, Nischal Risal\",\"doi\":\"10.3126/mef.v13i01.56023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study has focused on the impact of workplace stressors explained byworkload, work hours, unsupportive supervisors, and unfair treatment on employee burnout. The study adopted a quantitative research approach using a survey method. Professional employees of different sectors have been considered as the population. The 115 usable samples have been taken for the study purpose. The sample has been taken purposively. Five Point Likert Scale and multiple-choice questionnaire have been used for the collection of the data. Questionnaires have been administered online. SPSS and Microsoft Excel software has been used to analyze data. However, data were analyzed using correlation analysis and multiple regression analysis. The study results suggest that work hours are the major predictor of employee burnout among Nepalese professional employees, and workload, unfair treatment, and unsupportive supervisors have negligible contributions to the burnout of Nepalese professional employees.\",\"PeriodicalId\":313268,\"journal\":{\"name\":\"Molung Educational Frontier\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molung Educational Frontier\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3126/mef.v13i01.56023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molung Educational Frontier","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3126/mef.v13i01.56023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of Workplace Stressors on Employee Burnout: A Survey on Diversified Professionals
The study has focused on the impact of workplace stressors explained byworkload, work hours, unsupportive supervisors, and unfair treatment on employee burnout. The study adopted a quantitative research approach using a survey method. Professional employees of different sectors have been considered as the population. The 115 usable samples have been taken for the study purpose. The sample has been taken purposively. Five Point Likert Scale and multiple-choice questionnaire have been used for the collection of the data. Questionnaires have been administered online. SPSS and Microsoft Excel software has been used to analyze data. However, data were analyzed using correlation analysis and multiple regression analysis. The study results suggest that work hours are the major predictor of employee burnout among Nepalese professional employees, and workload, unfair treatment, and unsupportive supervisors have negligible contributions to the burnout of Nepalese professional employees.