Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach

Behzad Foroughi, Bita Naghmeh‐Abbaspour, Jun Wen, Morteza Ghobakhloo, Mostafa Al‐Emran and Mohammed A. Al‐Sharafi

Business Strategy and the Environment, 2025, vol. 34, issue 4, 4072-4094

Abstract: In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates the factors and consequences of using generative AI to access environmental information and influence green purchasing behavior. It integrates theories such as the information adoption model, value–belief–norm theory, elaboration likelihood model, and cognitive dissonance theory to pinpoint and prioritize determinants of generative AI usage for environmental information and green purchasing behavior. Data from 467 participants were analyzed using a hybrid methodology that blends partial least squares (PLS) with artificial neural networks (ANN). The PLS outcomes indicate that interactivity, responsiveness, knowledge acquisition and application, environmental concern, and ascription of responsibility are key predictors of generative AI use for environmental information. Furthermore, environmental concerns, green values, personal norms, ascription of responsibility, individual impact, and generative AI use emerge as predictors of green purchasing behavior. The ANN analysis offers a unique perspective and discloses variations in the hierarchy of these predictors. This research provides valuable insights for stakeholders on harnessing generative AI to promote sustainable consumer behaviors and environmental sustainability.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/bse.4186

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:bstrat:v:34:y:2025:i:4:p:4072-4094

Ordering information: This journal article can be ordered from
http://onlinelibrary ... 1002/(ISSN)1099-0836

Access Statistics for this article

Business Strategy and the Environment is currently edited by Richard Welford

More articles in Business Strategy and the Environment from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().