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

Author

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  • 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
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