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Human Resource Analytics and Data-Driven Decision Making: Implications for Talent Acquisition and Retention Strategies Syamsulbahri; Putranto, Samuel Aditya Eko; Hakim; Masthuroh
Journal Management & Economics Review (JUMPER) Vol. 3 No. 8 (2026): February
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v3i8.875

Abstract

The increasing availability of workforce data and advanced analytical tools has transformed the role of human resource management from a primarily administrative function into a strategic, evidence-based discipline. This study investigates the influence of human resource analytics (HRA) on data-driven decision making (DDDM) and examines its implications for talent acquisition and talent retention strategies. Employing a quantitative research design, data were collected through a structured questionnaire from 296 HR managers and senior decision makers across medium and large organizations. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that human resource analytics has a significant positive effect on data-driven decision making, talent acquisition, and talent retention. Furthermore, data-driven decision making significantly enhances both talent acquisition effectiveness and talent retention outcomes and partially mediates the relationships between human resource analytics and the two talent management outcomes. These findings provide empirical evidence that analytics-driven HR practices improve recruitment efficiency, quality of hire, and employee retention by enabling more accurate and proactive HR decisions. The study contributes to the growing literature on HR analytics by clarifying the mechanisms through which analytics creates value in talent management and offers practical insights for organizations seeking to leverage data-driven approaches to achieve sustainable human capital advantages.
Influence of Strategic Leadership, Entrepreneurial Orientation, and Flexibility Strategy on the Performance of Digital Start-Up in Indonesia Syamsulbahri; Bardai, Barjoyai; Aljounaidi, Abdoulrahman; Ateik, Alharath; Baker, Idris Abu
Journal Management & Economics Review (JUMPER) Vol. 3 No. 10. 1 (2026): Special Issue: Call For Paper JUMPER
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v3i10. 1.982

Abstract

This study examines the influence of strategic leadership, entrepreneurial orientation, and flexibility strategy on the performance of digital start-ups in Indonesia. Grounded in dynamic capabilities theory, the research investigates both the direct and indirect relationships among these constructs, including the mediating role of entrepreneurial orientation and the moderating role of flexibility strategy. A quantitative approach was employed using a cross-sectional survey of 187 founders, CEOs, and senior managers of digital start-ups across various sectors in Indonesia. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results reveal that strategic leadership, entrepreneurial orientation, and flexibility strategy each have a positive and significant effect on digital start-up performance. Entrepreneurial orientation emerges as the strongest direct predictor of performance and partially mediates the relationship between strategic leadership and performance. Additionally, flexibility strategy significantly strengthens the relationship between entrepreneurial orientation and performance, indicating that adaptive capability enhances the effectiveness of entrepreneurial initiatives. The model explains a substantial proportion of variance in start-up performance, demonstrating strong predictive power. The findings highlight the importance of integrating visionary leadership, entrepreneurial strategic posture, and organizational flexibility to achieve sustainable competitive advantage in Indonesia’s dynamic digital economy. This study contributes to entrepreneurship and strategic management literature by offering an integrated framework for understanding digital start-up performance in emerging markets and provides practical implications for founders, managers, and policymakers seeking to strengthen the digital entrepreneurial ecosystem.