Semantic Processes in Memory-Based Consumer Decision Making
Participants were asked to list all items that came to their minds in a variety of everyday choice settings. I used techniques from machine learning and data science to predict the items listed by participants, and, in six preregistered experiments, found robust context effects and semantic clustering effects.
Citation:
Sudeep Bhatia (2018) ,"Semantic Processes in Memory-Based Consumer Decision Making", in NA - Advances in Consumer Research Volume 46, eds. Andrew Gershoff, Robert Kozinets, and Tiffany White, Duluth, MN : Association for Consumer Research, Pages: 204-207.
Authors
Sudeep Bhatia, University of Pennsylvania, USA
Volume
NA - Advances in Consumer Research Volume 46 | 2018
Share Proceeding
Featured papers
See MoreFeatured
E8. Perceptions of Out-Group Members: The Effects of Language Abstraction
Afra Koulaei, University of South-Eastern Norway
Daniela Cristian, City University of London, UK
Featured
Unexpected-Framing Effect: Impact of Framing a Product Benefit as Unexpected on Product Desire
Monica Wadhwa, INSEAD, Singapore
Christine Kim, Hong Kong University of Science and Technology
Amitava Chattopadhyay, INSEAD, Singapore
Wenbo Wang, Hong Kong University of Science and Technology
Featured
Give Me Something of Yours: The Downside of Digital (vs. Physical) Exchanges
Anne Wilson, Harvard Business School, USA
Shelle Santana, Harvard Business School, USA
Neeru Paharia, Georgetown University, USA