Outstanding U.S. consumer credit totalled $3.84 trillion, emphasizing the fact that helping consumers effectively manage their personal finances has never been more important. Among the three pillars of financial well-being, this paper addresses the last pillar related to behavioral facilitation, given that one of the biggest challenges most consumers face is their inability to convert their best intentions into actual behavior. Specifically, this paper reviews and discusses various behavioral interventions in choice architecture designed to facilitate healthy financial behavior. These include enhancing physical height to increase level of thinking and long-term focus, incorporating incidental cues to form virtual boundaries and evoke implementation mindset, and using verbal/visual presentation of multi-faceted financial goals to emphasize goal singularity and increase implementation. Findings across such studies contribute to recent research on financial decision-making and choice architecture, and they provide readily applicable strategies for policy makers to “nudge” consumers toward more responsible financial decisions.
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31 December 2018
Research Article|
December 31 2018
Choice Architecture in Consumer Financial Decisions Available to Purchase
Min Zhao
Min Zhao
Associate Professor of Marketing at Carroll School of Management,
Boston College
, 140 Commonwealth Ave., Chestnut Hill, MA 02467 and Fellow of the Behavioural Economics in Action Research (BEAR) Cluster at the University of Toronto
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The author is deeply indebted to her collaborators on various projects on financial decision-making discussed in this article: Dilip Soman, Pankaj Aggarwal, Leonard Lee, and Joonkyung Kim. She would also like to thank the panel at the Behavioral Economics and New Paternalism for the insightful discussions.
Online ISSN: 2326-6201
Print ISSN: 2326-6198
© 2018 M. Zhao
2018
M. Zhao
Licensed re-use rights only
Review of Behavioral Economics (2018) 5 (3-4): 417–437.
Citation
Zhao M (2018), "Choice Architecture in Consumer Financial Decisions". Review of Behavioral Economics, Vol. 5 No. 3-4 pp. 417–437, doi: https://doi.org/10.1561/105.00000088
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