Welcome to the InfoSci Platform
Reference Hub5
Antecedents of User Acceptance of Electronic Human Resource Management Systems (e-HRM) at SEAT

Antecedents of User Acceptance of Electronic Human Resource Management Systems (e-HRM) at SEAT

Marcial Vazquez, Albert Sunyer
Copyright: © 2021 |Volume: 12 |Issue: 4 |Pages: 20
ISSN: 1947-3478|EISSN: 1947-3486|EISBN13: 9781799861454|DOI: 10.4018/IJHCITP.2021100105
Cite Article Cite Article

MLA

Vazquez, Marcial, and Albert Sunyer. "Antecedents of User Acceptance of Electronic Human Resource Management Systems (e-HRM) at SEAT." IJHCITP vol.12, no.4 2021: pp.65-84. http://doi.org/10.4018/IJHCITP.2021100105

APA

Vazquez, M. & Sunyer, A. (2021). Antecedents of User Acceptance of Electronic Human Resource Management Systems (e-HRM) at SEAT. International Journal of Human Capital and Information Technology Professionals (IJHCITP), 12(4), 65-84. http://doi.org/10.4018/IJHCITP.2021100105

Chicago

Vazquez, Marcial, and Albert Sunyer. "Antecedents of User Acceptance of Electronic Human Resource Management Systems (e-HRM) at SEAT," International Journal of Human Capital and Information Technology Professionals (IJHCITP) 12, no.4: 65-84. http://doi.org/10.4018/IJHCITP.2021100105

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.