Bibliometric insights into performance management systems in human resource management research

Mashala L. Yusuph; Lazaro A. Kisumbe; John W. Kasubi

doi:10.51867/ajernet.7.2.5

Auteurs

Mashala L. Yusuph
m_lameck@yahoo.com
The Local Government Training Institute, Tanzania https://orcid.org/0000-0003-2221-845X
Lazaro A. Kisumbe The Local Government Training Institute, Tanzania https://orcid.org/0009-0002-5064-1650
John W. Kasubi The Local Government Training Institute, Tanzania

Mots-clés :

Artificial Intelligence, Green HRM, Human Resource Management, Performance Management Systems

Résumé

The present bibliometric research paper is devoted to the dynamic nature of the performance management systems (PMS) in terms of the human resource management (HRM) field in the context of disruptions in technology, sustainability requirements, and post-pandemic changes. The aim is to trace the trend of publications, intellectual frameworks, influential factors, new themes, and gaps in research in the period between 1986 and 2026 to give information to scholars and practitioners in various settings, including emerging economies. The study is guided by goal-setting theory, expectancy theory, resource-based view, and social exchange theory. By using the PRISMA protocol, 550 documents were found in the Scopus database and examined through the VOSviewer software to establish the networks of key-word co-occurrence, citation, and thematic clustering. The results indicate a steep rise in publication rates in recent years since 2015; nine thematic areas (e.g., core HRM practices, AI integration, and green HRM); Western dominance of influential authors and publications (e.g., International Journal of Human Resource Management); and an overwhelming number of publications with high citation rates (e.g., focusing on virtual teams and sustainable performance). New trends are AI-based assessments and greener measurements and time-related changes toward sustainability and morality. In theory, the paper contributes to the goal-setting and resource-based view theories; in practice, it informs adaptive PMS applications to improve productivity and retention, and, in a methodological way, it justifies the hybrid bibliometric strategies. To ensure inclusive and resilient HRM practices, it has been recommended to focus on interdisciplinary work on AI-green synergies, empirical studies in the global south, and ethical AI investigations.

Dimensions

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