A theoretical model about the double strategic fit of the HRM strategy: Employees’ perceptions as connector between formulated and implemented HR practices
Abstract
Purpose: Considering inconsistent results in the literature about the HRM-performance relationship, this study discusses the association between both variables from a process perspective. To do so, the paper proposes a theoretical model that differentiates between the intended double fit (vertical and horizontal fit) and the real fit achieved in the HR practices implementation, considering employees’ perceptions about the HRM system as a determinant factor to explain the success of HR practices.
Design/methodology/approach: The research presents a theoretical review combining diverse fields of strategic human resource management research (fit perspective and system strength construct).
Findings: The paper concludes with an alternative theoretical model that explains the relationship between the link between human resources and organizational performance, introducing employees’ perceptions on the HRM system as a mediating variable.
Practical implications: Conclusions show the importance of the organizational communication in HRM processes, the role played by HR managers and the usefulness of the system strength as a tool to assess the fit of the implemented HRM strategy. Originality/value: Considering these assumptions, this proposal contributes to explain the effects of HRM strategies on organizational performance in three aspects: (1) the inclusion of employees’ perceptions about the HRM system as a mediating variable between HRM strategies and organizational performance, (2) the integration in the same study the HRM strategy formulation and implementation and (3) the introduction of the system strength construct as a tool to assess vertical and horizontal alignment in the HRM implementation phase.
Keywords
DOI: https://doi.org/10.3926/ic.431
This work is licensed under a Creative Commons Attribution 4.0 International License
Intangible Capital, 2004-2024
Online ISSN: 1697-9818; Print ISSN: 2014-3214; DL: B-33375-2004
Publisher: OmniaScience