Mung Khie Tsen, Manli Gu, Chee Meng Tan, See Kwong Goh
{"title":"在家工作和员工工作压力与工作参与度:来自34个欧洲国家的多层次分析。","authors":"Mung Khie Tsen, Manli Gu, Chee Meng Tan, See Kwong Goh","doi":"10.1007/s11205-023-03138-1","DOIUrl":null,"url":null,"abstract":"<p><p>Working from home (WFH) has had both positive and negative impacts on the work conduct. To maximise the benefits of homeworking, previous literature mainly focuses on creating self-help strategies for homeworkers to reduce work stress and maintain work engagement. However, fewer studies take on the policymaker perspective and evaluate optimal working conditions in the homeworking context. Using the Job Demands-Resources (JD-R) model, this study evaluates the effects of various work characteristics (job demands and resources) on the stress and engagement of infrequent and frequent homeworkers. Using the sixth European Working Conditions Survey 2015 which contains 5090 participants from 34 European countries, we studied 6 job demands and 5 job resources via Exploratory Factor Analysis. After testing the model's fitness using Confirmatory Factor Analysis, multiple mixed-effects models were used to test the job demands and resource effects on worker stress and engagement. Dominance Analysis was then used to identify the relative importance of each job demand and resource when explaining employee stress and engagement. We found emotional demands, time pressure, and workload to be the top three demand factors that cause work stress across the groups. Other than daily homeworkers, a positive and fair social climate is the most prominent resource able to boost job engagement across all of the other groups. By identifying the homeworkers' most influential demands and resources, this study will help managers better understand the steps to take to provide healthy job conditions for homeworkers.</p>","PeriodicalId":21943,"journal":{"name":"Social Indicators Research","volume":" ","pages":"1-28"},"PeriodicalIF":2.8000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225779/pdf/","citationCount":"0","resultStr":"{\"title\":\"Homeworking and Employee Job Stress and Work Engagement: A Multilevel Analysis from 34 European Countries.\",\"authors\":\"Mung Khie Tsen, Manli Gu, Chee Meng Tan, See Kwong Goh\",\"doi\":\"10.1007/s11205-023-03138-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Working from home (WFH) has had both positive and negative impacts on the work conduct. To maximise the benefits of homeworking, previous literature mainly focuses on creating self-help strategies for homeworkers to reduce work stress and maintain work engagement. However, fewer studies take on the policymaker perspective and evaluate optimal working conditions in the homeworking context. Using the Job Demands-Resources (JD-R) model, this study evaluates the effects of various work characteristics (job demands and resources) on the stress and engagement of infrequent and frequent homeworkers. Using the sixth European Working Conditions Survey 2015 which contains 5090 participants from 34 European countries, we studied 6 job demands and 5 job resources via Exploratory Factor Analysis. After testing the model's fitness using Confirmatory Factor Analysis, multiple mixed-effects models were used to test the job demands and resource effects on worker stress and engagement. Dominance Analysis was then used to identify the relative importance of each job demand and resource when explaining employee stress and engagement. We found emotional demands, time pressure, and workload to be the top three demand factors that cause work stress across the groups. Other than daily homeworkers, a positive and fair social climate is the most prominent resource able to boost job engagement across all of the other groups. By identifying the homeworkers' most influential demands and resources, this study will help managers better understand the steps to take to provide healthy job conditions for homeworkers.</p>\",\"PeriodicalId\":21943,\"journal\":{\"name\":\"Social Indicators Research\",\"volume\":\" \",\"pages\":\"1-28\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225779/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social Indicators Research\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1007/s11205-023-03138-1\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Indicators Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1007/s11205-023-03138-1","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
Homeworking and Employee Job Stress and Work Engagement: A Multilevel Analysis from 34 European Countries.
Working from home (WFH) has had both positive and negative impacts on the work conduct. To maximise the benefits of homeworking, previous literature mainly focuses on creating self-help strategies for homeworkers to reduce work stress and maintain work engagement. However, fewer studies take on the policymaker perspective and evaluate optimal working conditions in the homeworking context. Using the Job Demands-Resources (JD-R) model, this study evaluates the effects of various work characteristics (job demands and resources) on the stress and engagement of infrequent and frequent homeworkers. Using the sixth European Working Conditions Survey 2015 which contains 5090 participants from 34 European countries, we studied 6 job demands and 5 job resources via Exploratory Factor Analysis. After testing the model's fitness using Confirmatory Factor Analysis, multiple mixed-effects models were used to test the job demands and resource effects on worker stress and engagement. Dominance Analysis was then used to identify the relative importance of each job demand and resource when explaining employee stress and engagement. We found emotional demands, time pressure, and workload to be the top three demand factors that cause work stress across the groups. Other than daily homeworkers, a positive and fair social climate is the most prominent resource able to boost job engagement across all of the other groups. By identifying the homeworkers' most influential demands and resources, this study will help managers better understand the steps to take to provide healthy job conditions for homeworkers.
期刊介绍:
Since its foundation in 1974, Social Indicators Research has become the leading journal on problems related to the measurement of all aspects of the quality of life. The journal continues to publish results of research on all aspects of the quality of life and includes studies that reflect developments in the field. It devotes special attention to studies on such topics as sustainability of quality of life, sustainable development, and the relationship between quality of life and sustainability. The topics represented in the journal cover and involve a variety of segmentations, such as social groups, spatial and temporal coordinates, population composition, and life domains. The journal presents empirical, philosophical and methodological studies that cover the entire spectrum of society and are devoted to giving evidences through indicators. It considers indicators in their different typologies, and gives special attention to indicators that are able to meet the need of understanding social realities and phenomena that are increasingly more complex, interrelated, interacted and dynamical. In addition, it presents studies aimed at defining new approaches in constructing indicators.