IDEAS home Printed from https://ideas.repec.org/a/vrs/econom/v13y2025i1p509-524n1023.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Alawneh Osama Mousa & Tawalbeh Jawad & AlOqaily Ahmed Nader, 2025. "Reveling the Interrelationship of Digital Transformation and Business Intelligence Techniques to Boost Human Capital Development," Economics, Sciendo, vol. 13(1), pages 509-524.
  • Handle: RePEc:vrs:econom:v:13:y:2025:i:1:p:509-524:n:1023
    DOI: 10.2478/eoik-2025-0024
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/eoik-2025-0024
    Download Restriction: no

    File URL: https://libkey.io/10.2478/eoik-2025-0024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Data Analytics; Knowledge Sharing; Decision-Making Processes; Organizational Performance; Technological Adaptation; Workforce Development; SPSS and AMOS Analysis;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:econom:v:13:y:2025:i:1:p:509-524:n:1023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.