Abstract
Researchers in many diverse areas have consistently found that we are unduly influenced by negative information. In electronic commerce, this negativity bias is evident in the effect of product reviews on consumer behavior in the information systems literature. While the negativity bias is well documented, there has been little systematic and empirical research on its underlying causes. Utilizing a novel data set collected from Apple's App Store, we examine three probable causes of the negativity bias: that negative reviews are more specific, that they have higher surprise value, and that they increase our ability to avoid losses. The empirical analysis revealed that while all three mechanisms contribute to the negativity bias, the 'surprise' factor and the ability to avoid losses play a more prominent role when consumers process and integrate positive and negative review information. Our findings also carry important practical implications for review platforms and online companies.
Original language | English |
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Title of host publication | ICIS 2012 Proceedings |
Publisher | Association for Information Systems |
Pages | 3057-3069 |
Number of pages | 13 |
ISBN (Print) | 9781627486040, 9780615718439 |
Publication status | Published - Dec 2012 |
Event | 33rd International Conference on Information Systems, ICIS 2012 - Orlando, FL, United States Duration: 16 Dec 2012 → 19 Dec 2012 https://aisel.aisnet.org/icis2012 (Conference proceedings) |
Publication series
Name | International Conference on Information Systems, ICIS |
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Conference
Conference | 33rd International Conference on Information Systems, ICIS 2012 |
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Country/Territory | United States |
City | Orlando, FL |
Period | 16/12/12 → 19/12/12 |
Internet address |
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Scopus Subject Areas
- Computer Science Applications
- Statistics, Probability and Uncertainty
- Applied Mathematics
- Library and Information Sciences
User-Defined Keywords
- Negativity bias
- Online word-of-mouth
- Product review
- Review helpfulness
- Review rating