IDEAS home Printed from https://ideas.repec.org/a/gam/jadmsc/v15y2025i6p202-d1664315.html
   My bibliography  Save this article

Viral Leadership: Algorithmic Amplification and the Rise of Leadership Fashions

Author

Listed:
  • Dag Øivind Madsen

    (Department of Business, Marketing and Law, USN School of Business, University of South-Eastern Norway, 3511 Hønefoss, Norway)

  • Kåre Slåtten

    (Department of Business, Marketing and Law, USN School of Business, University of South-Eastern Norway, 3511 Hønefoss, Norway)

Abstract

This essay examines how AI-driven content curation reshapes leadership fashions through algorithmic amplification on social media platforms. Algorithms designed to maximize engagement selectively elevate certain leadership styles, such as authentic, servant, and transformational leadership, while marginalizing others, including transactional or directive approaches. Drawing on leadership fashion theory, an extension of management fashion theory, this essay analyzes how viral content, influencer dynamics, and algorithmic prioritization collectively construct contemporary leadership ideals. It highlights the central role of leadership gurus such as Simon Sinek, Brené Brown, and Gary Vaynerchuk, and critiques the risks of oversimplification and performative authenticity in algorithmically mediated leadership discourse. Using recent empirical findings and real-world examples, the analysis shows how emotionally resonant and morally charged content gains disproportionate visibility, potentially distorting leadership development and practice. This essay concludes by discussing implications for organizations, leadership education, and research, and calls for a renewed commitment to evidence-based leadership theory and practice in the face of algorithmic influence.

Suggested Citation

  • Dag Øivind Madsen & Kåre Slåtten, 2025. "Viral Leadership: Algorithmic Amplification and the Rise of Leadership Fashions," Administrative Sciences, MDPI, vol. 15(6), pages 1-26, May.
  • Handle: RePEc:gam:jadmsc:v:15:y:2025:i:6:p:202-:d:1664315
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-3387/15/6/202/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2076-3387/15/6/202/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dag Madsen & Kåre Slåtten, 2013. "The Role of the Management Fashion Arena in the Cross-National Diffusion of Management Concepts: The Case of the Balanced Scorecard in the Scandinavian Countries," Administrative Sciences, MDPI, vol. 3(3), pages 1-33, August.
    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. Alkinoos Psarras & Theodoros Anagnostopoulos & Nikos Tsotsolas & Ioannis Salmon & Lazaros Vryzidis, 2020. "Applying the Balanced Scorecard and Predictive Analytics in the Administration of a European Funding Program," Administrative Sciences, MDPI, vol. 10(4), pages 1-15, December.
    2. Svitlana Firsova, 2017. "Examining Institutional Content Of The Balanced Scorecard: Logics And Translations In Ukrainian Business Environment," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 8(2).
    3. Dag Øivind Madsen & Daniel Johanson, 2016. "Examining customer relationship management from a management fashion perspective," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1161285-116, December.
    4. Madsen, Dag Øivind & Stenheim, Tonny, 2014. "Balansert målstyring: En kort oversikt over forskningslitteraturen [The Balanced Scorecard: A brief overview of the research literature]," MPRA Paper 65991, University Library of Munich, Germany.
    5. Seeck, Hannele & Kantola, Anu, 2022. "The role of professional elites in shaping management practice: how the old mentalities condition the adoption of new management ideas," LSE Research Online Documents on Economics 118461, London School of Economics and Political Science, LSE Library.
    6. Dag Øivind Madsen & Blerim Azizi & Albert Rushiti & Tonny Stenheim, 2019. "The Diffusion and Implementation of the Balanced Scorecard in the Norwegian Municipality Sector: A Descriptive Analysis," Social Sciences, MDPI, vol. 8(5), pages 1-31, May.
    7. Dag Øivind Madsen & Kåre Slåtten, 2015. "Social media and management fashions," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1122256-112, December.
    8. Dag Øivind Madsen & Tonny Stenheim, 2016. "Big Data viewed through the lens of management fashion theory," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1165072-116, December.
    9. repec:vul:omefvu:v:9:y:2017:i:2:id:229 is not listed on IDEAS

    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:gam:jadmsc:v:15:y:2025:i:6:p:202-:d:1664315. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.