Artificial intelligence & consumer behavior: A systematic literature review.

Abstract

This systematic literature analysis examines the many effects of articial intelligence (AI) on consumer behavior. It consolidates data from a carefully chosen to set of English-language papers acquired using a Web of Science search. The selected studies provide insights into the complex interaction between AI, consumer attitudes, preferences, decision-making, and the larger consequences for companies. These research cover many areas of AI appusefullications in marketing and consumer domains. The research covers various topics, such as the positive impact of AI on consumer attitudes, potential drawbacks of AI recommendations, the inuence of AI-driven recommendation agents on privacy risk, personalized engagement marketing, consumer evaluations of GAN-generated fashion products, AI in ethnic clothing consumption, the adoption of AI in the leisure economy, AI in digital marketing, automation of services using AI in Industry 4.0, AI-powered applications in the service prot chain, the role of AI-powered learning apps in education, AI in B2B settings, the security of AIoT using the HoneyNet approach, the impact of digital AI technologies in India, and the role of AI in the Internet of Things (IoT). This study presents a thorough analysis of the current state of AI and consumer behavior research, providing insights that are relevant for both academic and industrial sectors.