|
|||||
|
|
Towards a brain-to-society systems model of individual choice |
|
| Authors: | Laurette Dubé Antoine Bechara Ulf Böckenholt Asim Ansari Alain Dagher Mark Daniel Wayne S DeSarbo Lesley K Fellows Ross A Hammond Terry T-K Huang Scott Huettel Yan Kestens Bärbel Knäuper Peter Kooreman Douglas Spencer Moore Ale Smidts |
| Institution: | 1. Desautels Faculty of Management, McGill University, 1001, Sherbrooke St. West, Montreal, Quebec, Canada, H3A 1G5 2. Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA 3. Columbia Business School, New York, NY, USA 4. The Montreal Neurological Institute, McGill University, Montreal, Canada 5. CHUM– Centre de Recherche, Axe santé des populations, Montreal, Quebec, Canada 6. Smeal College of Business at the Pennsylvania State University, University Park, PA, USA 7. Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, Montreal, Quebec, Canada 8. Economic Studies Program, The Brookings Institution, Washington, DC, USA 9. National Institute of Child Health & Human Development, Bethesda, MD, USA 10. Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA 11. Dép. Médicine Sociale and Préventive, Université de Montréal, Montreal, Quebec, Canada 12. Department of Psychology, McGill University, Montreal, Canada 13. Department of Economics, Tilburg University, Tilburg, The Netherlands 14. School of Kinesiology and Health Studies, Queen’s University, Kingston, ON, Canada 15. Rotterdam School of Management, Erasmus University Rotterdam, Tilburg, The Netherlands |
| Abstract: | Canonical models of rational choice fail to account for many forms of motivated adaptive behaviors, specifically in domains such as food selections. To describe behavior in such emotion- and reward-laden scenarios, researchers have proposed dual-process models that posit competition between a slower, analytic faculty and a fast, impulsive, emotional faculty. In this paper, we examine the assumptions and limitations of these approaches to modeling motivated choice. We argue that models of this form, though intuitively attractive, are biologically implausible. We describe an approach to motivated choice based on sequential sampling process models that can form a solid theoretical bridge between what is known about brain function and environmental influences upon choice. We further suggest that the complex and dynamic relationships between biology, behavior, and environment affecting choice at the individual level must inform aggregate models of consumer choice. Models using agent-based complex systems may further provide a principled way to relate individual and aggregate consumer choices to the aggregate choices made by businesses and social institutions. We coin the term “brain-to-society systems” choice model for this broad integrative approach. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |