Online impulse buying and cognitive dissonance : examining the effect of mood on consumer behaviour
Author(s)
Bibliographic Information
Online impulse buying and cognitive dissonance : examining the effect of mood on consumer behaviour
（Palgrave pivot）
Palgrave Macmillan, c2021
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Consumers' beliefs and attitudes towards online sales significantly influence buying behavior on the internet. However, the impact of these thoughts and beliefs on the decision to make an online purchase is not direct. It can be moderated by the emotions experienced while browsing an e-commerce website. Impulse buying in particular is influenced by a number of factors, for example how stimulating the e-shopping platform is, and how easy it is to click on the cart a certain product, for instance a smartphone. But what happens after an online impulse buy is made? Often the customer can regret the purchase and in the throes of anxiety, look for reasons to justify the choices made. Consumer behaviour scholars and pyschologists call this phenomenon cognitive dissonance, and certain individuals are more sensitive than others in developing this than others.
This book offers a deep investigation around online impulse buying and subsequent cognitive dissonance. Specifically, the authors present a research case study of a group of millenials who are shopping for smartphones to study whether an initial positive state can reduce the onset of cognitive dissonance in consumers. Based on substantial research and a sample of 212 impulsive millennial buyers, the book provides a comprehensive, but simple and synthetic framework of impulse buying, cognitive dissonance and positive affect state, highlighting their relationships.
Table of Contents
1. Introduction.2. The impulse buying.3. The cognitive dissonance.4. The affect state.5. Measuring the constructs of impulse buying, cognitive dissonance and affect state.6. On-line consumer behavior and technology acceptance models.7. Drivers for on-line impulse purchases of highly symbolic products.8. Pc-based versus mobile-based on-line shopping.9. Millennials and on-line shopping: the case of smartphones.10. The study.
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