IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v84y2026ics0160791x25003227.html

Closing the loop on forecasts: Circular economy disclosure via social media platforms and analyst forecast quality

Author

Listed:
  • Raimo, Nicola
  • L'Abate, Vitiana
  • Vitolla, Filippo
  • Salvi, Antonio
  • Petruzzella, Felice

Abstract

As corporate sustainability models increasingly transition toward circular economy (CE) paradigms, the disclosure of related practices has gained strategic relevance for market participants seeking to assess firms' long-term value creation and risk exposure. Within this evolving landscape, CE disclosure (CED) has emerged as a distinct dimension of non-financial reporting that informs stakeholders about the design, implementation, and outcomes of circular strategies. This study investigates the influence of CED via Twitter on analyst behavior. More specifically, and grounded in voluntary disclosure theory, it explores whether social media–based CED enhances forecast accuracy and reduces forecast dispersion. To this end, a panel dataset of 583 firm-year observations from 135 firms listed on the S&P 500 index and operating in environmentally sensitive sectors over the 2020–2024 period is analyzed. The extent of CED is measured using dictionary-based content analysis of corporate tweets. The empirical results reveal that higher levels of CED via Twitter are positively associated with analysts' forecast accuracy and negatively associated with forecast dispersion. These findings suggest that Twitter serves as an effective informal channel for conveying decision-useful CE information to financial market participants. This study contributes to the literature by extending research on both the effects of CED and the link between sustainability communication and analyst forecast quality.

Suggested Citation

  • Raimo, Nicola & L'Abate, Vitiana & Vitolla, Filippo & Salvi, Antonio & Petruzzella, Felice, 2026. "Closing the loop on forecasts: Circular economy disclosure via social media platforms and analyst forecast quality," Technology in Society, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:teinso:v:84:y:2026:i:c:s0160791x25003227
    DOI: 10.1016/j.techsoc.2025.103132
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X25003227
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2025.103132?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

    ;
    ;
    ;
    ;
    ;
    ;

    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:eee:teinso:v:84:y:2026:i:c:s0160791x25003227. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.