Reveling the Interrelationship of Digital Transformation and Business Intelligence Techniques to Boost Human Capital Development

Alawneh Osama Mousa, Tawalbeh Jawad and AlOqaily Ahmed Nader ()
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Alawneh Osama Mousa: Department of Human Recourse Management, Business School, Jadara University, Irbid, Jordan
Tawalbeh Jawad: Department of Human Recourse Management, Business School, Jadara University, Irbid, Jordan
AlOqaily Ahmed Nader: Department of Human Recourse Management, Business School, Jadara University, Irbid, Jordan

Economics, 2025, vol. 13, issue 1, 509-524

Abstract: This study examines the impact of business intelligence techniques (BITs) on human capital development (HCD) within the Jordanian Securities Commission, with digital transformation explored as a mediating factor. A survey was conducted with a sample of 153 participants from various departments, and the data were analyzed using SPSS and AMOS to validate the research model. The findings indicate that business intelligence techniques serve as a critical enabler for enhancing employee knowledge-sharing and informed decision-making, which are essential for improved individual and organizational performance. Furthermore, digital transformation was found to strengthen the relationship between BITs and HCD by improving processes such as data collection, analysis, and decision-making. The study underscores the importance of aligning technological tools with human resource capabilities to adapt to technological changes and enhance organizational effectiveness. It also highlights the practical challenges organizations face in fully leveraging BITs and digital transformation for human capital development.

Keywords: Data Analytics; Knowledge Sharing; Decision-Making Processes; Organizational Performance; Technological Adaptation; Workforce Development; SPSS and AMOS Analysis (search for similar items in EconPapers)
JEL-codes: C83 D83 J24 L86 M15 M54 O33 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:econom:v:13:y:2025:i:1:p:509-524:n:1023

DOI: 10.2478/eoik-2025-0024

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