The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Reputation and Competition
Abstract
This paper shows how competition generates reputation-building behavior in repeated interactions when the product quality observed by consumers is a noisy signal of firms' effort level. There are two types of firms and “good” firms try to distinguish themselves from “bad” firms. Although consumers get convinced that firms which are repeatedly successful in providing high quality are good firms, competition endogenously generates the outside option inducing disappointed consumers to leave firms. This threat of exit induces good firms to choose high effort, allowing good reputations to be valuable, but its uncompromising execution forces good firms out of the market.
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Citations
Cites
The Role of Market Forces in Assuring Contractual Performance
Klein, B., & Leffler, K. B. (1981) · Journal of Political Economy · doi:10.1086/260996 · Cited by 3,653
Managerial Incentive Problems: A Dynamic Perspective
Holmstrom, B. (1999) · Review of Economic Studies · doi:10.1111/1467-937x.00083 · Cited by 3,172
Cited by
Content Contribution for Revenue Sharing and Reputation in Social Media: A Dynamic Structural Model
Tang, Q., Gu, B., & Whinston, A. B. (2012) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290203 · Cited by 243
Taking fake online consumer reviews seriously
Malbon, J. (2013) · Journal of Consumer Policy · doi:10.1007/s10603-012-9216-7 · Cited by 183
Metadata
- Authors
- Höner, J.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2002-05-01
- Volume
- 92
- Issue
- 3
- Pages
- 644-663
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2151281924
- Cited by
- 337
- References
- 2
- FWCI
- 15.16
- Type
- journal article
- Language
- en
- Open access
- closed
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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.