Dynamics of high-performance work systems with TCCM review

Purpose This study aims to conduct a comprehensive review of high-performance work systems (HPWS), emphasising the integration-responsive factors, growth and adoption across various organisational contexts. This study systematically analyse how the HPWS has evolved and its impact on employee and organisational performance. Design/methodology/approach This study used a structured seven-step methodology (SSM) to ensure systematic data collection within the specified chronological periods. A manual and electronic literature search was conducted with 383 studies based on the TCCM selection criteria. The data analysis highlights the role of HPWS in enhancing organisational productivity, employee engagement and firm-level strategic competencies. Findings This study reaffirms that HPWS is a critical driver of both employee and organisational performance. The multi-theoretical perspective integrates key frameworks to explain how HPWS enhances productivity and increases job-related stress. The findings indicate that HPWS effectiveness varies across industries, with customisation playing a crucial role in achieving sustainable competitive advantage. This study also identifies underexplored research areas, including developing economies, knowledge-based industries and the intersection of HPWS with digital transformation. Originality/value This study pioneered the systematic application of the TCCM to HPWS research, offering a structured synthesis of theoretical advancements and methodological approaches. It also provides a framework for organisations to strategically implement HPWS while mitigating unintended adverse effects. The research findings contribute to academia and practice by equipping HR professionals and corporate executives with data-driven strategies for effective adoption of HPWS and workforce sustainability.

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Institutions

Publication Details

Journal
International journal of organizational analysis
Published
2025-08-04
DOI
https://doi.org/10.1108/ijoa-01-2025-5205
Citations
1
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
1.24
Controls
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article

Dynamics of high-performance work systems with TCCM review

Monica Kunte, Pooja Choudhary, Seema Bhardwaj
1 citations
International journal of organizational analysis
Scheduling and Optimization Algorithms
1.24
article

Dynamics of high-performance work systems with TCCM review

Monica Kunte, Pooja Choudhary, Seema Bhardwaj
article en
1 citations

Abstract

Purpose This study aims to conduct a comprehensive review of high-performance work systems (HPWS), emphasising the integration-responsive factors, growth and adoption across various organisational contexts. This study systematically analyse how the HPWS has evolved and its impact on employee and organisational performance. Design/methodology/approach This study used a structured seven-step methodology (SSM) to ensure systematic data collection within the specified chronological periods. A manual and electronic literature search was conducted with 383 studies based on the TCCM selection criteria. The data analysis highlights the role of HPWS in enhancing organisational productivity, employee engagement and firm-level strategic competencies. Findings This study reaffirms that HPWS is a critical driver of both employee and organisational performance. The multi-theoretical perspective integrates key frameworks to explain how HPWS enhances productivity and increases job-related stress. The findings indicate that HPWS effectiveness varies across industries, with customisation playing a crucial role in achieving sustainable competitive advantage. This study also identifies underexplored research areas, including developing economies, knowledge-based industries and the intersection of HPWS with digital transformation. Originality/value This study pioneered the systematic application of the TCCM to HPWS research, offering a structured synthesis of theoretical advancements and methodological approaches. It also provides a framework for organisations to strategically implement HPWS while mitigating unintended adverse effects. The research findings contribute to academia and practice by equipping HR professionals and corporate executives with data-driven strategies for effective adoption of HPWS and workforce sustainability.

International journal of organizational analysis
Symbiosis International University (IN), Middlesex University Dubai (AE)
Openalex Percentile: Top 17%
Scheduling and Optimization Algorithms
1.24
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