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How do high-performance work systems affect innovation performance? The organizational learning perspective

Gholamhossein Mehralian (Pharmaeconomics and Pharma Managment, Shahid Beheshti University of Medical Sciences, Tehran, Iran)
Mohammad Moradi (Allameh Tabataba’i University, Tehran, Iran)
Jafar Babapour (Shahid Beheshti University of Medical Sciences, Tehran, Iran)

Personnel Review

ISSN: 0048-3486

Article publication date: 10 August 2021

Issue publication date: 13 December 2022

1081

Abstract

Purpose

Achieving organizational-level outcomes through human resource practices (HRP) as the basis of nearly all organizational improvements has remained relatively unexplored, which requires more investigations. Therefore, the present study aimed to develop a framework to theorize how high-performance work systems (HPWS) can provide organizations with critical instruments for organizational learning (OL) creation that in turn leads to innovation performance (IP).

Design/methodology/approach

Survey-based, multisource research was designed to examine the proposed model, using the data collected from 154 pharmaceutical industry-related companies.

Findings

According to the study results, HPWS concentrating on enhancing practices of abilities, motivations and opportunities (AMO) were positively associated with OL, which could in turn improve IP. Moreover, innovation culture (IC) showed a significant moderating effect on the association between OL and IP.

Originality/value

The central originality of this research first is that HPWS acts as antecedents of OL capabilities contributing to firm-level IP; second, the relationship between OL and firm IP is contingent upon the level of IC in organizations.

Keywords

Citation

Mehralian, G., Moradi, M. and Babapour, J. (2022), "How do high-performance work systems affect innovation performance? The organizational learning perspective", Personnel Review, Vol. 51 No. 9, pp. 2081-2102. https://doi.org/10.1108/PR-08-2020-0617

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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