IDEAS home Printed from https://ideas.repec.org/a/sae/jouinf/v14y2022i2p141-159.html
   My bibliography  Save this article

Behavioural Theories and Purchase Intention of Renewable Energy Technologies—A Meta-Analysis

Author

Listed:
  • Rajesh Gangakhedkar
  • M. Karthik

Abstract

Theory of planned behaviour (TPB) and technology acceptance model (TAM) are two behavioural theories that have been widely applied to understand the association between their constructs and purchase intention (PI) of renewable energy technologies (RETs). There is a need to synthesise these studies to understand the overall strength of association between their constructs and PI of RETs. With this objective in view, we conducted a meta-analysis of 41 studies that applied TPB and TAM or both to understand the PI of RETs. The results showed that all the constructs of TPB and TAM have a medium to large association, with perceived utility and attitude showing the strongest relationship with r = 0.536 and 0.487, respectively. To explore the reasons for heterogeneity in studies, moderator analysis was done by considering Hofstede’s cultural dimension of individualism, the economic development level of the countries, and sample-related moderators such as the educational qualifications of the respondents. Moderator analysis gave mixed results.

Suggested Citation

  • Rajesh Gangakhedkar & M. Karthik, 2022. "Behavioural Theories and Purchase Intention of Renewable Energy Technologies—A Meta-Analysis," Journal of Infrastructure Development, India Development Foundation, vol. 14(2), pages 141-159, December.
  • Handle: RePEc:sae:jouinf:v:14:y:2022:i:2:p:141-159
    DOI: 10.1177/09749306221140737
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09749306221140737
    Download Restriction: no

    File URL: https://libkey.io/10.1177/09749306221140737?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
    ---><---

    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:sae:jouinf:v:14:y:2022:i:2:p:141-159. 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: SAGE Publications (email available below). General contact details of provider: http://www.idfresearch.org .

    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.