Khadija Ali Vakeel , Saurav Chakraborty , Lamont Black
{"title":"Remote work in the metaverse: The impact of gamification and online social connectedness on job satisfaction","authors":"Khadija Ali Vakeel , Saurav Chakraborty , Lamont Black","doi":"10.1016/j.dss.2025.114447","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores the potential of the metaverse in enhancing job satisfaction for remote employees. With the increasing shift towards remote work, firms are investing more in the metaverse to create dynamic and immersive digital environments. Drawing upon media richness theory, we investigate the roles of gamification and online social connectedness within the metaverse, which are crucial factors shaping employee job satisfaction. Survey results show that remote employees perceive higher gamification in the metaverse but have similar online social connectedness to video conferencing platforms. Contrary to linear assumptions, polynomial regression analysis reveals an intriguing S-shaped relationship between gamification and job satisfaction in the metaverse, highlighting an optimal threshold beyond which excessive gamification in the metaverse may diminish job satisfaction. Additionally, online social connectedness in the metaverse significantly strengthens job satisfaction. This study contributes to theoretical and practical knowledge by expanding the application of the metaverse to remote work. Our findings provide valuable guidance for firms navigating the evolving landscape of remote work and technology adoption, paving the way for more engaging and satisfying remote work experiences.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"193 ","pages":"Article 114447"},"PeriodicalIF":6.7000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Support Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016792362500048X","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores the potential of the metaverse in enhancing job satisfaction for remote employees. With the increasing shift towards remote work, firms are investing more in the metaverse to create dynamic and immersive digital environments. Drawing upon media richness theory, we investigate the roles of gamification and online social connectedness within the metaverse, which are crucial factors shaping employee job satisfaction. Survey results show that remote employees perceive higher gamification in the metaverse but have similar online social connectedness to video conferencing platforms. Contrary to linear assumptions, polynomial regression analysis reveals an intriguing S-shaped relationship between gamification and job satisfaction in the metaverse, highlighting an optimal threshold beyond which excessive gamification in the metaverse may diminish job satisfaction. Additionally, online social connectedness in the metaverse significantly strengthens job satisfaction. This study contributes to theoretical and practical knowledge by expanding the application of the metaverse to remote work. Our findings provide valuable guidance for firms navigating the evolving landscape of remote work and technology adoption, paving the way for more engaging and satisfying remote work experiences.
期刊介绍:
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).