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HARNESSING BUSINESS INTELLIGENCE FOR STRATEGIC HRM: EVIDENCE FROM PAKISTAN’S CORPORATE SECTOR


Article Information

Title: HARNESSING BUSINESS INTELLIGENCE FOR STRATEGIC HRM: EVIDENCE FROM PAKISTAN’S CORPORATE SECTOR

Authors: Shahid Raza Mir

Journal: Journal for Business Education and Management (JBEM)

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30

Publisher: Contemporay Science Research Publisher (Pvt) Ltd

Country: Pakistan

Year: 2025

Volume: 5

Issue: 1

Language: en

DOI: 10.5281/zenodo.16178169

Keywords: Organizational PerformanceData-driven Decision MakingBusiness Intelligence (BI)Human Resource AnalyticsHRM in Pakistan

Categories

Abstract

This research study examines how Business Intelligence (BI) can enhance the Human Resource (HR) decision-making process within an organization in the Pakistani context. Although the global stage is heading towards HR analytics, Pakistani organizations still operate manually, with limited implementation and usage of BI tools. The research is expected to examine the influence of BI proficiency and organizational-level BI adoption on the effectiveness of HR decision-making. The study employed a quantitative research design, utilizing a structured questionnaire administered to 350 human resource experts across various industries. SPSS was used to analyze the data, employing descriptive statistics, regression analysis, and reliability testing. The findings showed that BI proficiency (β = 0.35, p < 0.001) and BI adoption (β = 0.48, p < 0.001) were in a significant and positive association with the effectiveness of HR decision-making, explaining 41.2% of the variance. The study proposes to improve technical training of the HR personnel, create a data-driven culture, and incorporate BI with existing HR systems. The study is constrained by its cross-sectional design and analysis of Pakistani organisations only. However, the results demonstrate the strategic role of BI when it innovates to correct the accuracy of decisions, predicts workforce trends, and even harmonizes HR practices with organizational goals. Such insights become crucial for policymakers, HR leaders, and practitioners who aim to modernize HRM by leveraging data-driven analysis and prediction.


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