The Future of Consumption: Decoding Consumer Decisions and Marketing Practices in the AI Era

At a time when Artificial Intelligence (AI) is revolutionizing consumers' everyday lives, it is profoundly redefining the ways individuals search for information, evaluate products, form preferences, and make decisions. This track examines the emerging dynamics shaping the future of consumption in the AI era. By analyzing the impact of recent trends such as algorithmic recommendations, conversational agents, data-driven personalization, and generative AI, it becomes possible to identify potential influences on consumer cognition, emotions, and consumption behaviors.
We encourage submissions that address both the opportunities and challenges associated with consumption in the era of AI. Topics of interest include, but are not limited to: data-driven communication and marketing; personalization and behavioral influence; consumer psychology and experience; consumer acceptability and resistance; ehics, privacy and tpransparency
Keywords: Consumption; Artificial Intelligence; Consumer Behavior; Marketing Practices; Data-Driven Marketing

Track chairs:

Maali Benhissi (mbenhissi@edcparis.edu) et Manel Hamouda (mhamouda@edcparis.edu)