Certifications and Reputation: Determining the Standard of Desirability Amidst Uncertainty
Abstract
We develop a theory that examines how a particular type of third-party quality signal, certifications, influences an actor's long-term reputation by addressing two different types of uncertainty. The first type deals with the degree to which the capabilities of an actor can be inferred over time based on known performance dimensions. We label this technical uncertainty. The second type deals with assessing whether the perceived capabilities of the actor meet the standard of desirability, which we call performance standard uncertainty. We propose and test that certifications will positively influence the long-term reputation of actors in situations that involve minimal technical uncertainty, and that, across levels of technical performance, certifications will have an inverted U-shaped relationship with assessments of actors such that certifications will have the greatest impact on assessments of actors who are close to the uncertain standard of desirability. We test our hypotheses in the context of the voting for Major League Baseball's Hall of Fame, an environment where comprehensive technical performance measures leave little technical uncertainty. Our results support our hypotheses and suggest that certifications can influence an actor's reputation by reducing performance standard uncertainty rather than just technical uncertainty, as previously presumed.
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Ranking firms by final scores does not stop the DJSI from counting as a certification.
“The fact that firms are ranked according to their final scores does not preclude the DJSI from being considered a certification.”
From Strategic Silence: Withholding Certification Status as a Hypocrisy Avoidance Tactic (2018) · cites this paper as Graffin and Ward (2010: 332)
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- Authors
- Graffin, S. D., & Ward, A. J.
- Affiliations
- University of Georgia (US)
- Lehigh University (US)
- Venue
- Organization Science
- Published
- 2010-04
- Volume
- 21
- Issue
- 2
- Pages
- 331-346
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2151148962
- Cited by
- 158
- References
- 50
- Citations by year
- 2026: 12 · 2025: 11 · 2024: 14 · 2023: 5 · 2022: 12 · 2021: 10 · 2020: 8 · 2019: 10 · 2018: 17 · 2017: 12 · 2016: 10 · 2015: 8 · 2014: 9 · 2013: 9 · 2012: 5
- FWCI
- 10.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Organization Science (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Identity and Reputation
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Management and Organizational Studies
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Keywords
- certification, reputation, technological uncertainty, inverted U-shaped relationship, performance evaluation, organizational reputation
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 ›
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