IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/159120.html

How Stakeholders Perceive Generative AI in Sustainability Reports: Assistance or Interference?

Author

Listed:
  • Brune, Niclas
  • Hinsberger, Björn

Abstract

Progressive improvements in Generative Artificial Intelligence (GenAI) are leading to an expansion of its application, including sustainability reporting. While this promises efficiency gains, little is known about how stakeholders perceive AI-generated reports. This study investigates the perception of external stakeholders of such reports with different levels of AI involvement, examined through an online experiment with 96 participants in Germany. Our findings show that human post-processing plays a crucial role: reports co-created with AI are perceived as equally credible as human-written ones, while fully automated reports are rated significantly lower. These results underline the relevance of human involvement for maintaining credibility in sensitive communication contexts. They also provide practical insights for communicating AI-assisted sustainability reporting, highlighting the psychological dynamics that shape stakeholder trust.

Suggested Citation

  • Brune, Niclas & Hinsberger, Björn, 2026. "How Stakeholders Perceive Generative AI in Sustainability Reports: Assistance or Interference?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 159120, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:159120
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/159120/
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/10125/111498
    Download Restriction: no
    ---><---

    More about this item

    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:dar:wpaper:159120. 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: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    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.