The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Harnessing the Influence of Social Proof in Online Shopping: The Effect of Electronic Word of Mouth on Sales of Digital Microproducts
Abstract
Social commerce has taken the e-tailing world by storm. Business-to-consumer sites and, more important, intermediaries that facilitate shopping experience, continue to offer more and more innovative technologies to support social interaction among like-minded community members or friends who share the same shopping interests. Among these technologies, reviews, ratings, and recommendation systems have become some of the most popular social shopping platforms due to their ease of use and simplicity in sharing buying experience and aggregating evaluations. This paper studies the effect of electronic word of mouth (eWOM) communication among a closed community of book readers. We studied the entire market of Amazon Shorts e-books, which are digital microproducts sold at a low and uniform price. With the minimal role of price in the buying decision, social discussion via eWOM becomes a collective signal of reputation, and ultimately a significant demand driver. Our empirical study suggests that eWOM can be used to convey the reputation of the product (e.g., the book), the reputation of the brand (i.e., the author), and the reputation of complementary goods (e.g., books in the same category). Until newer social shopping technologies gain acceptance, eWOM technologies should be considered by both e-tailers and shoppers as the first and perhaps primary source of social buying experience.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Chaudhuri, A., & Holbrook, M. B. (2001) · Journal of Marketing · doi:10.1509/jmkg.65.2.81.18255 · Cited by 6,674
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916
Stigler, G. J. (1961) · Journal of Political Economy · doi:10.1086/258464 · Cited by 5,155
The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms
Dellarocas, C. (2003) · Management Science · doi:10.1287/mnsc.49.10.1407.17308 · Cited by 3,433
Stigler, G. J. (1976) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-51565-1_86 · Cited by 3,287
Social Identity and Intergroup Relations.
Glassner, B., & Tajfel, H. (1985) · Contemporary Sociology · doi:10.2307/2069233 · Cited by 3,214
The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer
Levin, D. Z., & Cross, R. (2004) · Management Science · doi:10.1287/mnsc.1030.0136 · Cited by 2,734
Using Online Conversations to Study Word-of-Mouth Communication
Godes, D., & Mayzlin, D. (2004) · Marketing Science · doi:10.1287/mksc.1040.0071 · Cited by 2,601
Frictionless commerce? A comparison of Internet and conventional retailers
Brynjolfsson, E., & Smith, M. D. (2000) · Management Science · doi:10.1287/mnsc.46.4.563.12061 · Cited by 2,498
Resnick, P., Kuwabara, K., Zeckhauser, R., & Friedman, E. (2000) · Communications of the ACM · doi:10.1145/355112.355122 · Cited by 2,190
No Pain, No Gain: A Critical Review of the Literature on Signaling Unobservable Product Quality
Kirmani, A., & Rao, A. R. (2000) · Journal of Marketing · doi:10.1509/jmkg.64.2.66.18000 · Cited by 2,144
Herr, P. M., Kardes, F. R., & Kim, J. (1991) · Journal of Consumer Research · doi:10.1086/208570 · Cited by 2,142
Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study
Richins, M. L. (1983) · Journal of Marketing · doi:10.1177/002224298304700107 · Cited by 1,807
Do online reviews matter? — An empirical investigation of panel data
Duan, W., Gu, B., & Whinston, A. B. (2008) · Decision Support Systems · doi:10.1016/j.dss.2008.04.001 · Cited by 1,675
Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue
Liu, Y. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.3.74 · Cited by 1,588
The influence of online product recommendations on consumers' online choices
Senecal, S., & Nantel, J. (2004) · Journal of Retailing · doi:10.1016/j.jretai.2004.04.001 · Cited by 1,585
Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue
Liu, Y. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.3.074 · Cited by 1,329
Brynjolfsson, E., Hu, Y. (., & Smith, M. D. (2003) · Management Science · doi:10.1287/mnsc.49.11.1580.20580 · Cited by 1,173
The value of reputation on eBay: A controlled experiment
Resnick, P., Zeckhauser, R., Swanson, J., & Lockwood, K. (2006) · Experimental Economics · doi:10.1007/s10683-006-4309-2 · Cited by 1,118
Do Online Reviews Matter? - an Empirical Investigation of Panel DataPreprint
Duan, W., Gu, B., & Whinston, A. B. (2005) · SSRN Electronic Journal · Cited by 1,025
Do online reviews affect product sales? The role of reviewer characteristics and temporal effects
Hu, N., Liu, L., & Zhang, J. J. (2008) · Information Technology and Management · doi:10.1007/s10799-008-0041-2 · Cited by 659
The relationship of reputation and credibility to brand success
Herbig, P., & Milewicz, J. (1993) · Journal of Consumer Marketing · doi:10.1108/eum0000000002601 · Cited by 655
eWOM overload and its effect on consumer behavioral intention depending on consumer involvement
Park, D.-H., & Lee, J. (2008) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2007.11.004 · Cited by 644
Fool's Gold: Social Proof in the Initiation and Abandonment of Coverage by Wall Street Analysts
Rao, H., Greve, H. R., & Davis, G. F. (2001) · Administrative Science Quarterly · doi:10.2307/3094873 · Cited by 598
Social ties and online word of mouth
Steffes, E. M., & Burgee, L. E. (2009) · Internet Research · doi:10.1108/10662240910927812 · Cited by 531
Reinstein, D. A., & Snyder, C. M. (2005) · Journal of Industrial Economics · doi:10.1111/j.0022-1821.2005.00244.x · Cited by 513
Informational Cascades and Software Adoption on the Internet: An Empirical Investigation1
Duan, W., Gu, B., & Whinston, A. B. (2009) · MIS Quarterly · doi:10.2307/20650277 · Cited by 483
Factors influencing consumer perceptions of brand trust online
Ha, H. (2004) · Journal of Product & Brand Management · doi:10.1108/10610420410554412 · Cited by 445
Hung, K. H., & Li, S. Y. (2007) · Journal of Advertising Research · doi:10.2501/s002184990707050x · Cited by 408
The Impact of Online Recommendations and Consumer Feedback on Sales
Chen, P.-Y. S., Wu, S., & Yoon, J. (2004) · Journal of the Association for Information Systems · Cited by 408
Brynjolfsson, E., Smith, M. D., & Hu, Y. (. (2003) · SSRN Electronic Journal · doi:10.2139/ssrn.400940 · Cited by 351
Internet shopping, consumer search and product branding
Ward, M. R., & Lee, M. J. (2000) · Journal of Product & Brand Management · doi:10.1108/10610420010316302 · Cited by 330
LEVIN, D. Z., CROSS, R., & ABRAMS, L. C. (2002) · Academy of Management Proceedings · doi:10.5465/apbpp.2002.7517527 · Cited by 287
Brand Portfolio Strategy and Firm Performance
Morgan, N. A., & Rego, L. L. (2008) · Journal of Marketing · doi:10.1509/jmkg.73.1.59 · Cited by 260
From Niches to Riches: The Anatomy of the Long Tail
Brynjolfsson, E., Hu, Y. J., & Smith, M. D. (2018) · Figshare · doi:10.1184/r1/6471422 · Cited by 241
Chu, W., & Chu, W. (1994) · Marketing Science · doi:10.1287/mksc.13.2.177 · Cited by 233
Computational models of trust and reputation : agents, evolutionary games, and social networks
Mui, L. (2002) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 227
Consumer Choice Process for Experience Goods: An Econometric Model and Analysis
Neelamegham, R., & Jain, D. C. (1999) · Journal of Marketing Research · doi:10.1177/002224379903600306 · Cited by 208
Huang, C.-C., Lin, T., & Lin, K.-J. (2008) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2008.11.001 · Cited by 148
Effect of Recovery Efforts on Consumer Trust and Loyalty in E-Tail: A Contingency Model
dos Santos, C. P., & Fernandes, D. V. D. H. (2010) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415140405 · Cited by 113
Wang, K., Wang, E. T. G., & Farn, C. (2009) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415130404 · Cited by 111
Market Mavens' Attitudes Towards General Technology: Implications for Marketing Communications
Geissler, G. L., & Edison, S. W. (2005) · Journal of Marketing Communications · doi:10.1080/1352726042000286499 · Cited by 108
Customer Information Sharing with E-Vendors: The Roles of Incentives and Trust
Premazzi, K., Castaldo, S., Grosso, M., Raman, P., Brudvig, S., & Hofacker, C. F. (2010) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415140304 · Cited by 106
Disentangling the effects of social network density on electronic word-of-mouth (eWOM) intention
Sohn, D. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01444.x · Cited by 98
Can Brand Reputation Improve the Odds of Being Reviewed On-Line?
Amblee, N. C., & Bui, T. (2008) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415120302 · Cited by 72
Self-citationThe relationship between effective counseling and effective selling behaviors
Pettijohn, C. E., Pettijohn, L. S., & Taylor, A. J. (1995) · Journal of Consumer Marketing · doi:10.1108/07363769510080960 · Cited by 55
Davidson, A., & Copulsky, J. R. (2006) · Strategy and Leadership · doi:10.1108/10878570610660564 · Cited by 20
Biased Listing in Electronic Marketplaces: Exploring Its Implications in On-Line Hotel Distribution
Riemer, K., & Lehrke, C. (2009) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415140102 · Cited by 19
Cited by
Introduction to the special issue social commerce: A research framework for social commerce
Liang, T.-P., & Turban, E. (2011) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415160201 · Cited by 960
Social commerce constructs and consumer’s intention to buy
Hajli, N. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.12.005 · Cited by 826
Consumer behavior in social commerce: A literature review
Zhang, K. Z. K., & Benyoucef, M. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.04.001 · Cited by 631
Wang, W.-T., Wang, Y.-S., & Liu, E.-R. (2016) · Information & Management · doi:10.1016/j.im.2016.01.006 · Cited by 375
Understanding social commerce: A systematic literature review and directions for further research
Busalim, A. H., & Hussin, A. R. C. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.06.005 · Cited by 369
Metadata
- Authors
- Amblee, N., & Bui, T.
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2011-12
- Volume
- 16
- Issue
- 2
- Pages
- 91-114
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W2066914810
- Cited by
- 490
- References
- 49
- FWCI
- 49.29
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.