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Journal : (JUMPER)

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.
The Effect of Green Accounting Practices, Environmental Performance, and Firm Size on Corporate Profitability Mayndarto, Eko Cahyo; Abdussamad, Zulkhaedir; Ikhyanuddin; Hakim
Journal Management & Economics Review (JUMPER) Vol. 3 No. 9 (2026): On Progress
Publisher : Malaqbi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jumper.v2i9.288

Abstract

This study examines the effect of green accounting practices, environmental performance, and firm size on corporate profitability. Amid increasing environmental concerns and regulatory pressures, firms are encouraged to integrate sustainability into their accounting and operational strategies. Using a quantitative explanatory research design, this study analyzes secondary panel data obtained from companies listed on the Indonesia Stock Exchange over the period 2020–2022. Corporate profitability is measured using return on assets, while green accounting practices are assessed through an environmental accounting disclosure index, environmental performance is measured using an environmental rating score, and firm size is proxied by the natural logarithm of total assets. Multiple linear regression analysis is employed to test the proposed hypotheses. The results indicate that green accounting practices have a positive and significant effect on corporate profitability, suggesting that transparent recognition of environmental costs enhances operational efficiency and stakeholder confidence. Environmental performance is also found to positively influence profitability, supporting the view that effective environmental management contributes to financial performance through reduced risk and improved reputation. Furthermore, firm size has a positive and significant effect on profitability, reflecting the role of organizational resources and economies of scale. Overall, the findings demonstrate that sustainability-oriented accounting and environmental practices can serve as strategic tools to enhance corporate profitability and long-term business sustainability.