International Journal of Human Capital in Urban Management

Abstract BACKGROUND AND OBJECTIVES: Human Resource Analytics has become a strategic enabler in modern workforce management, particularly amid digital transformation. However, scholarly research in Human Resource Analytics remains fragmented across regions and disciplines. This study employs bibliometric analysis to map global research output in Human Resource Analytics from 2012 to 2024, identifying trends, influential contributors, thematic concentrations, and underexplored areas.
METHODS: A bibliometric analysis approach was applied using data retrieved from the Scopus database. The dataset covered publication metadata, including authorship, institutional affiliation, geographic origin, keywords, sources, and citation counts. VOSviewer software was used to construct visual maps illustrating keyword co-occurrence, co-authorship networks, and citation clusters, enabling a comprehensive overview of research activity and intellectual structure in the Human Resource Analytics.
FINDINGS: A total of 211 publications are identified and analysed over 13 years, involving 602 contributors. The analysis highlights 2,674 citations, with an average of 12.67 citations per paper. The corresponding h-index and g-index are 24 and 47, respectively. The results reveal three research themes. They present an increasing global interest, with leading contributions from high-income countries. The three core themes are workforce analytics, Artificial Intelligence in Human Resource Management, and strategic decision-making. Notably, low representation from developing regions and limited use of advanced predictive analytics highlight critical research gaps.
CONCLUSION: This study provides a comprehensive quantitative overview of the evolution of Human Resource Analytics scholarship. It guides future research by identifying emerging priorities, regional disparities, and methodological developments, offering valuable insights for advancing data-driven human resource practices and fostering more strategic, evidence-based decision-making in HR management and policy development globally.

Abstract This study aims to analyze the structure of growing publications on Islamic leadership and its contribution to organizational effectiveness and long-term success using bibliometric analysis with VOSviewer. The sample population comprised all publications of the Scopus database from 2010 to 2023. In addition, a total of 244 publications were selected for bibliometric analysis and visualization, including original study articles, book chapters, reviews, conference papers, and other forms of literature written in English. The results showed the presence of three clusters, namely red (Indonesia, Malaysia, Egypt, and United Arab Emirates), green (United States, Iraq, Syrian Arab Republic, and Turkey), and blue (Iran, Israel, and China). These clusters represented regional cooperation in the exploration of Islamic leadership publications and their implications for organizational development. The results also showed that Islamic leadership was most commonly applied in education, psychology, community and health care, school, and government sectors. In addition, it was shown to be frequently related to trust, job performance, motivation, decision-making, job satisfaction, and empowerment. Islamic leadership placed great emphasis on motivation and job performance, as it ultimately recognized the importance of productive and purposeful work in employees' lives and society's overall well-being. Based on these results, Islamic leadership supported employees in achieving healthy work-life integration by encouraging time for family, worship of Allah (the God), and personal well-being.