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

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.16178169
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Gene expression and cancer classification
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
DHA Suffa University (PK)
Openalex Percentile: Top 55%
Gene expression and cancer classification
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HARNESSING BUSINESS INTELLIGENCE FOR STRATEGIC HRM: EVIDENCE FROM PAKISTAN'S CORPORATE SECTOR · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS