Affective influences on consumer decision making under uncertainty

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Abstract/Contents

Abstract
This dissertation investigates various affective influences on decision making under risk and uncertainty. The first essay of the dissertation shows that the relationship between physiological arousal and risk-taking is more nuanced than previously found. The results demonstrate that lower levels of physiological arousal increase sensitivity to expected values of risky prospects, leading to more adaptive decisions, instead of increasing or decreasing risk seeking across the board. The second essay of the dissertation elucidates how anticipated guilt can lead to choices of uncertain options over certain ones, establishing how choosing uncertain outcomes can serve as a guilt reduction mechanism. Finally, the third essay investigates neural affective correlates of consumer disengagement from consumption episodes that have uncertain rewards that are known only as they unfold over time and exhibits how data from a neural focus group can improve forecasts of market-level behavior.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2018; ©2018
Publication date 2018; 2018
Issuance monographic
Language English

Creators/Contributors

Author Acikalin, Mehmet Yavuz
Degree supervisor Shiv, Baba, 1960-
Thesis advisor Shiv, Baba, 1960-
Thesis advisor Khan, Uzma Aslam
Thesis advisor Knutson, Brian
Degree committee member Khan, Uzma Aslam
Degree committee member Knutson, Brian
Associated with Stanford University, Graduate School of Business.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Mehmet Yavuz Acikalin.
Note Submitted to the Graduate School of Business.
Thesis Thesis Ph.D. Stanford University 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Mehmet Yavuz Acikalin
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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