{"title":"Stemming the tide: linking AI technology with workers retention","authors":"M. Moin, J. Zhang","doi":"10.1108/ijmpb-01-2024-0015","DOIUrl":null,"url":null,"abstract":"PurposeThe objective of this research is to examine the association of artificial intelligence (AI) awareness on workers' retention and the boundary conditions in the context of project organizations.Design/methodology/approachWe collected time-lagged data from project organizations in China.FindingsThe results showed that AI awareness predicted workers' turnover intention. Moreover, this association was moderated via supervisor support.Practical implicationsThis research provides several practical implications aimed at timely communication, training and automation guide for helping firms to foster healthy workplace climate, support and workers’ retention.Originality/valueThe rise of AI and its potential impact on manpower is a popular topic. Yet, the evidence of project workers’ awareness of such potential effects on their retention is scant. Therefore, this study broadens our understanding of the association of AI awareness on turnover intention and boundary conditions in the context of project organizations.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ijmpb-01-2024-0015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
PurposeThe objective of this research is to examine the association of artificial intelligence (AI) awareness on workers' retention and the boundary conditions in the context of project organizations.Design/methodology/approachWe collected time-lagged data from project organizations in China.FindingsThe results showed that AI awareness predicted workers' turnover intention. Moreover, this association was moderated via supervisor support.Practical implicationsThis research provides several practical implications aimed at timely communication, training and automation guide for helping firms to foster healthy workplace climate, support and workers’ retention.Originality/valueThe rise of AI and its potential impact on manpower is a popular topic. Yet, the evidence of project workers’ awareness of such potential effects on their retention is scant. Therefore, this study broadens our understanding of the association of AI awareness on turnover intention and boundary conditions in the context of project organizations.