Unpacking HRM effectiveness: a multilevel conceptual framework and maturity model based on a systematic literature review and expert panel

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Authors: Agata Austen, Magdalena Majowska
Cited by: 0
References: 79

Abstract

Purpose The study aims to (1) develop a conceptual framework for HRM effectiveness (HRME) by analyzing recurring patterns found in measurement items used in prior empirical quantitative research and (2) translate this framework into a maturity model. Design/methodology/approach The study combines a systematic literature review with content analysis of 468 measurement items from 39 articles to develop a theoretical HRME framework grounded in both empirical findings and broader HRM literature. The maturity model was derived through item synthesis and refined with input from experts. Findings The study develops a conceptual framework of HRME based on four dimensions (content, process, actors and outcomes) structured across 14 levels. Combined with expert input it forms the basis of a preliminary maturity model consisting of 41 evaluation criteria. Practical implications The maturity model helps organizations pinpoint where and why HRM is (in)effective, thereby supporting holistic improvements. It enables practitioners to identify not only isolated weaknesses but also misalignments across dimensions and levels. Originality/value We are the first to integrate the four foundational dimensions of HRM into a single, 14-level conceptual and diagnostic evaluation framework. This framework extends the HRM-CPO model by adding a multilevel perspective and incorporating the actor dimension. The resulting maturity model broadens the classic HR performance-management cycle, enabling organizations to verify whether HR actors fulfil their responsibilities. It shifts widely used strategic PM approaches from merely reporting what was achieved to explaining where and why HRM proves (in)effective and forces coordinated and systematic adjustments in HRM to achieve its effectiveness.

Fields of Study & Subjects

Human Resource and Talent Management AI and HR Technologies Management and Organizational Practices

Publication details

Journal / source
International Journal of Productivity and Performance Management
Volume
75
Issue
6
Pages
2161–2186
Publication date
9 February 2026
Language
EN