An empirical investigation on the relationship between a high-performance work system and employee performance: measuring a mediation model through partial least squares–structural equation modeling
Received 22 November 2018
Accepted for publication 26 February 2019
Published 31 May 2019 Volume 2019:12 Pages 397—416
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Ms Justinn Cochran
Peer reviewer comments 2
Editor who approved publication: Professor Igor Elman
Cai Li, Shumaila Naz, Muhammad Aamir Shafique Khan, Basil Kusi, Majid Murad
School of Management, Jiangsu University, Zhenjiang, Jiangsu 212013, People’s Republic of China
Background: This study aimed to investigate the effect of a high-performance work system (HPWS) on employee performance and the intervening role of mediators in this relationship.
Methods: The study was quantitative in nature and used a questionnaire as its instrument. Two hundred and fifty respondents from the private textile sector, located in Lahore and Faisalabad, Pakistan, were selected using a stratified sampling technique. For statistical analysis and to test the proposed research model, partial least squares–structural equation modeling was applied.
Results: HPWS was positively related to employee performance. Furthermore, job satisfaction, perceived organizational support, and employee engagement positively and significantly mediated between HPWS and employee performance. Thus, the study provided evidence for the underpinning models of social exchange theory, and ability, motivation, and opportunity framework.
Conclusion: The study emphasizes that practitioners should develop strategies that could foster positive work attitudes and increase perceived organizational support to achieve higher levels of performance. It further describes some limitations and gaps for future research.
Keywords: high-performance work system, employee performance, job satisfaction, perceived organizational support, employee engagement
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