IDEAS home Printed from https://ideas.repec.org/a/spr/futbus/v11y2025i1d10.1186_s43093-025-00523-9.html
   My bibliography  Save this article

The impact of digital leadership on institutional excellence in the Jordanian social security corporation: business intelligence as a moderating variable

Author

Listed:
  • Mahmoud Ali Al-Rousan

    (Irbid National University)

  • Ayat wuhaib Ababneh

    (Irbid National University)

Abstract

The study aimed to identify the impact of digital leadership with its dimensions (digital leader skills, digital strategy, and digital knowledge) on institutional excellence in the Social Security Corporation: where business intelligence is a moderating variable. To achieve the study objectives, the descriptive analytical approach was used and field data was collected using a questionnaire. The study was conducted on a sample of (377) individuals in the Social Security Corporation. A set of statistical methods was used, including multiple, simple and hierarchical regression analysis, and through the SPSS statistical analysis program, the study concluded that there is an impact of digital leadership on institutional excellence with business intelligence as a moderating variable. The study recommended the need to pay attention to training, honing skills and using business intelligence applications.

Suggested Citation

  • Mahmoud Ali Al-Rousan & Ayat wuhaib Ababneh, 2025. "The impact of digital leadership on institutional excellence in the Jordanian social security corporation: business intelligence as a moderating variable," Future Business Journal, Springer, vol. 11(1), pages 1-7, December.
    • Handle: RePEc:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00523-9
    DOI: 10.1186/s43093-025-00523-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s43093-025-00523-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1186/s43093-025-00523-9?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Yansheng & Lin, Zhijun, 2021. "Business Intelligence Capabilities and Firm Performance: A Study in China," International Journal of Information Management, Elsevier, vol. 57(C).
    2. Wahyu Abdillah UTOMO & Udin UDIN & Siswoyo HARYONO, 2022. "Visionary Leadership and Employee Quality in the Public Service Sector," International Journal of Applied Economics, Finance and Accounting, Online Academic Press, vol. 12(2), pages 31-37.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kirti Nayal & Shashank Kumar & Rakesh D. Raut & Maciel M. Queiroz & Pragati Priyadarshinee & Balkrishna E. Narkhede, 2022. "Supply chain firm performance in circular economy and digital era to achieve sustainable development goals," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1058-1073, March.
    2. Efpraxia D. Zamani & Anastasia Griva & Kieran Conboy, 2022. "Using Business Analytics for SME Business Model Transformation under Pandemic Time Pressure," Information Systems Frontiers, Springer, vol. 24(4), pages 1145-1166, August.
    3. Xiaoyuan Zhang & Shenglian Wang & Nurul Azlin Azmi & RAJA ADZRIN RAJA AHMAD, 2024. "Green Innovation and firm Performance: An Empirical Study of China's Power Industry," Information Management and Business Review, AMH International, vol. 16(3), pages 913-923.
    4. Feng, Fangfang & Li, Junjun & Zhang, Feng & Sun, Jinghuan, 2024. "The impact of artificial intelligence on green innovation efficiency: Moderating role of dynamic capability," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    5. Yoshikuni, Adilson Carlos & Dwivedi, Rajeev & Filho, Arnaldo Rabello de Aguiar Vallim & Wamba, Samuel Fosso, 2025. "Big data analytics-enabled dynamic capabilities for corporate performance mediated through innovation ambidexterity: Findings from machine learning with cross-country analysis," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    6. Alfadhel, Mutasim, 2025. "Unpacking when and how business analytics affect firm performance and customer satisfaction: A longitudinal examination," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00523-9. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.