IDEAS home Printed from https://ideas.repec.org/a/spr/ijogbc/v20y2025i2d10.1007_s42943-025-00124-x.html
   My bibliography  Save this article

Transformational Leadership, AI Competitiveness, and Project Performance: A Moderation Analysis

Author

Listed:
  • Kingsley Ofosu-Ampong

    (Heritage Christian University, & CIAT)

  • Julius Adu-Ntim

    (Wisconsin International University College)

Abstract

This study examines how leadership styles interact with artificial intelligence (AI) competitiveness to influence project outcomes in multinational organizations. The research analyzed data from 316 employees across 3 multinational organizations in Ghana using hierarchical regression analysis. The study assessed how AI competitiveness variables, moderated by transformational leadership, impact project performance. The results demonstrate that transformational leadership positively moderates the relationship between AI scope, integration, and frequency of AI use, leading to enhanced project outcomes. However, the interaction between AI-enabled process automation and transformational leadership revealed a negative effect on performance, suggesting that excessive automation may diminish leadership effectiveness. Notably, AI satisfaction did not significantly influence project performance in a high-level automation environment as some leadership oversight is lost, thereby challenging conventional assumptions about technology acceptance and productivity. This research advances our understanding of how leadership strategies can either enhance or constrain AI competitive effectiveness in project-oriented teams. The findings emphasize the importance of striking a balance between AI-enabled processes and team dynamics while highlighting transformational leadership’s crucial role in managing technological integration in project environments. Organizations operating across national boundaries should develop leadership approaches that effectively promote AI integration and usage while maintaining appropriate levels of process automation to maximize the benefits of AI systems.

Suggested Citation

  • Kingsley Ofosu-Ampong & Julius Adu-Ntim, 2025. "Transformational Leadership, AI Competitiveness, and Project Performance: A Moderation Analysis," International Journal of Global Business and Competitiveness, Springer, vol. 20(2), pages 67-79, December.
  • Handle: RePEc:spr:ijogbc:v:20:y:2025:i:2:d:10.1007_s42943-025-00124-x
    DOI: 10.1007/s42943-025-00124-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42943-025-00124-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42943-025-00124-x?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.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:ijogbc:v:20:y:2025:i:2:d:10.1007_s42943-025-00124-x. 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: 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.