Influence of AI technologies on the psychology of sustainable consumption
Scoping review
Bibliographic Data
| ID | 17818154 |
|---|---|
| Authors | Özgün Arda Kuş (0000-0002-1487-3772, Üsküdar University, corresponding author) |
| Year | 2026 |
| Volume | 16 |
| Issue | 2 |
| Pages | e202622-e202622 |
| Publication date | 2026-04-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Online Journal of Communication and Media Technologies (JOURNAL) |
| Journal identifiers | ISSN: 1986-3497 • E-ISSN: 1986-3497 |
| Publisher | Bastas Publications (PUBLISHER) |
| DOI | 10.30935/ojcmt/18275 |
| OpenAlex | W7155394114 |
| Language | EN |
| References cited | 96 |
This scoping review maps the emerging evidence on how artificial intelligence (AI) technologies shape the psychology of sustainable consumption. Guided by Arksey and O’Malley’s (2005) framework and PRISMA-ScR guidelines, a comprehensive search was conducted on June 25, 2025, using Scopus and Web of Science, combining the keywords artificial intelligence, psychology, and sustainability. There were 1,561 publications when the corpus was limited to English-language papers published between 2020 and 2025. After removing duplicates, screening titles and abstracts, and reviewing full texts, 19 research satisfied the requirements for inclusion. Using descriptive charts and inductive thematic analysis, four main things were found: (1) anthropomorphic chatbots are the most popular AI touch-point and consistently increase people’s desire to buy green products; (2) AI effects are mediated by psychological states, such as social presence, hedonic motivation, perceived usefulness, and green satisfaction, rather than by technology alone; (3) algorithmic advice can be less effective than human guidance when moral or reputational stakes are high; and (4) theory building is heavily biased toward technology-acceptance models, leaving value-based and affective mechanisms under-explored. These findings highlight both the promise and the boundary conditions of AI-enabled persuasion and chart a research agenda that integrates richer motivational theories, hybrid human–AI designs, and longitudinal real-world evaluations
Chart · Chatbot · Persuasion · PsycINFO · Scopus · Thematic analysis · AI in Service Interactions · Environmental Education and Sustainability · Environmental Sustainability in Business
Technological Transitions and System Innovations
Living up to the chatbot hype
Task-Dependent Algorithm Aversion
Consumers acceptance of artificially intelligent (AI) device use in service delivery
Human vs. AI
The Short-Run and Long-Run Effects of Behavioral Interventions
Consumers and Artificial Intelligence
Enhancing chatbot effectiveness
Understanding anthropomorphism in service provision
Artificial intelligence for sustainability
Updated methodological guidance for the conduct of scoping reviews
Scoping studies
The theory of planned behavior
User Acceptance of Information Technology
Consumer Acceptance and Use of Information Technology
Exploring AI-enabled green marketing and green intention
Code green
Voluntary vs. Compulsory
Anthropomorphic response
Customer experiences in the age of artificial intelligence
Sustainable consumption
The Effect of AI Chatbots on Pro-environment Attitude and Willingness to Pay for Environment Protection
When Artificial Intelligence Voices Human Concerns
AI Tools in Society
Tailoring generative AI chatbots for multiethnic communities in disaster preparedness communication
The role of technology adoption in sustainable development
Exploring the Potential of Chatbots in Extending Tourists’ Sustainable Travel Practices
Promoting pro-environmental behaviour spillover through chatbots
Can (A)I Arouse You? The Impact of AI Services on Consumer Pro-Environmental Behavior
Can generative artificial intelligence drive sustainable behavior? A consumer-adoption model for AI-driven sustainability recommendations
Leveraging artificial intelligence to foster pro-environmental and green behavior in organizations
Scoping studies
Resistance to Medical Artificial Intelligence
Theory of planned behavior and value-belief norm theory as antecedents of pro-environmental behaviour
| Citation velocity | historical |
|---|---|
| Highly cited | No |