When Artificial Feedback Hurts — Empirical Evidence from Community-Based Configuration Systems
ISBN
978-0-615-55907-0
Type
conference paper
Date Issued
2011-12-04
Editor(s)
Galletta, Dennis F.
Liang, Ting-Peng
Abstract
Mass Customization technologies are increasingly becoming social and allow for inter-individual exchange processes such as community-based configuration systems online. But while companies foster community interactions and open their configuration systems, it is not clear (1.) how virtual interactions influence individuals' subjective product satisfaction, since their final decision may not be based on their own exclusive preferences, and (2.) how these usually anonymous feedback processes may directly affect individuals' perception of their own selves. We applied an experimental research design in a virtual community environment and provide evidence that anonymous feedback significantly influences consumers' decision behavior and that increased deviations from an initial decision negatively affects individual product satisfaction. Moreover, we revealed new theoretical and practical insight that feedback effects can directly and negatively influence individuals' perception of self-worth and that common affirmation strategies may backfire and finally result in considerably lower self-esteem and satisfaction.
Language
English
Keywords
Consumer decision making
Experimental economics
Feedback
Online communities
HSG Classification
contribution to scientific community
Refereed
Yes
Book title
Proceedings of the International Conference on Information Systems, ICIS 2011
Publisher
Association of Information Systems
Publisher place
AIS Electronic Library (AISeL)
Start page
16
Event Title
32nd International Conference on Information Systems (ICIS 2011)
Event Location
Shanghai
Event Date
04.-07.12.2011
Subject(s)
Eprints ID
173827