{"title":"Antecedents of User Acceptance of Electronic Human Resource Management Systems (e-HRM) at SEAT","authors":"Marcial Vazquez, Albert Sunyer","doi":"10.4018/ijhcitp.2021100105","DOIUrl":null,"url":null,"abstract":"This research investigates factors that impact the use of electronic human resource management (e-HRM) systems at SEAT, a car manufacturing firm of the Volkswagen Group. This study builds on the unified theory of acceptance and use of technology to analyze the relationships between user acceptance of e-HRM systems and its antecedent factors, namely performance expectations, ease of use, social influence, and facilitating conditions. The empirical study takes advantage of how employees at SEAT use a new e-HRM system implemented by the human resource department in the context of a business digitization strategy. One hundred and sixty-nine employees at SEAT were conveniently sampled to bring light to the most influential predictors of e-HRM user acceptance. Hierarchical multiple regression shows that performance expectations and ease of use have positive relationships towards acceptance of e-HRM technologies. In addition, this research provides some practical implications to guide HR professionals on the implementation of e-HRM systems.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijhcitp.2021100105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This research investigates factors that impact the use of electronic human resource management (e-HRM) systems at SEAT, a car manufacturing firm of the Volkswagen Group. This study builds on the unified theory of acceptance and use of technology to analyze the relationships between user acceptance of e-HRM systems and its antecedent factors, namely performance expectations, ease of use, social influence, and facilitating conditions. The empirical study takes advantage of how employees at SEAT use a new e-HRM system implemented by the human resource department in the context of a business digitization strategy. One hundred and sixty-nine employees at SEAT were conveniently sampled to bring light to the most influential predictors of e-HRM user acceptance. Hierarchical multiple regression shows that performance expectations and ease of use have positive relationships towards acceptance of e-HRM technologies. In addition, this research provides some practical implications to guide HR professionals on the implementation of e-HRM systems.