IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v84y2026ics0160791x25003161.html

Renewable energy adoption: A meta-analysis of an extended technology acceptance model

Author

Listed:
  • Rahmani, Amir
  • Daim, Tugrul U.
  • Zamani, Mehdi
  • Güngör, Dilek Özdemir

Abstract

The increasing emphasis on renewable energy (RE) has spurred significant research into the behavioral factors influencing renewable energy technologies (RETs) adoption, with the Technology Acceptance Model (TAM) serving as a key theoretical framework. Despite the extensive use of TAM in studies on the adoption of RETs, the findings remain inconsistent, and a quantitative synthesis of key predictors is still lacking. In this study, a meta-analysis was conducted to evaluate eleven hypotheses based on TAM constructs and related variables. Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, 115 quantitative studies related to these hypotheses were systematically identified and selected. Subsequently, data from these studies were synthesized to estimate the overall effect size for each hypothesis. The results indicate that RE attitude, environmental attitude, perceived usefulness (PU), perceived ease of use (PEOU), environmental awareness, and RE awareness significantly and positively predict RETs adoption, with RE attitude and PU emerging as the most influential factors. Furthermore, PU, PEOU, environmental awareness, and RE awareness positively shape RE attitudes, with PEOU positively influencing PU. Community type significantly moderates the relationship between RE attitude and RETs adoption. The level of national development moderates the associations between environmental awareness and RETs adoption, as well as between PEOU and PU, and between PU and RE attitude. Moreover, the relationship between PU and the adoption of RETs is moderated by the COVID-19 pandemic. These findings offer valuable insights for policymakers and researchers, highlighting key psychological drivers and contextual differences that can inform targeted strategies to promote RETs adoption.

Suggested Citation

  • Rahmani, Amir & Daim, Tugrul U. & Zamani, Mehdi & Güngör, Dilek Özdemir, 2026. "Renewable energy adoption: A meta-analysis of an extended technology acceptance model," Technology in Society, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:teinso:v:84:y:2026:i:c:s0160791x25003161
    DOI: 10.1016/j.techsoc.2025.103126
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X25003161
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2025.103126?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:s0160791x25003161. 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.