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Does e-HRM improve labour productivity? A study of commercial bank workplaces in Pakistan

Iqbal, Naveed and Ahmad, Mansoor and Allen, Matthew MC and Raziq, Muhammad Mustafa (2018) 'Does e-HRM improve labour productivity? A study of commercial bank workplaces in Pakistan.' Employee Relations, 40 (2). pp. 281-297. ISSN 0142-5455

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Purpose: Drawing on data from a unique, large-scale survey, we examine the links between e-HRM and perceived labour productivity both directly and through the mediating role of HR service quality amongst commercial-bank workplaces in Pakistan, many of which have introduced e-HRM. Design: We use partial least squares structural equation modelling to examine the direct links between e-HRM and productivity as well as the mediated links between e-HRM, perceived HR service quality and productivity. Findings: We show that e-HRM practices have a statistically significant, positive effect on managers’ perceptions of labour productivity. We also reveal that e-HRM practices influence the quality of HR service, and that the quality of HR services fully mediates the relationship between e-HRM practices and managers’ perceptions of labour productivity. Practical implications: Our results highlight the importance of designing and implementing e-HRM systems so that they support organization workflow and enable workers to carry out a range of HR and non-HR activities more efficiently. In particular, this study suggests that managers should focus on how e-HRM impacts on HR service quality in a holistic way, as this is the ‘route’ via which e-HRM can improve labour productivity. Originality: Existing research has demonstrated a link between e-HRM and the quality of HR services; however, these studies downplay the potential impact of e-HRM on labour productivity, a key organizational outcome and one that e-HRM aims to improve. The study contributes to the HRM literature by identifying how e-HRM can improve labour productivity by enhancing the perceived HR service quality. The study, therefore, provides the basis for future theory developments in this area.

Item Type: Article
Uncontrolled Keywords: Organizational performance; Human resource management; Structural equation modelling; Labour utilization; e-HRM; Line managers
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > Essex Business School
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 04 Dec 2019 13:46
Last Modified: 06 Jan 2022 14:05

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