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Psychological Contract Violation in Online Marketplaces: Antecedents, Consequences, and Moderating Role
Abstract
This study examines the nature and role of Psychological Contract Violation (PCV) in online marketplaces, a critical factor that has been largely overlooked by previous research. Applied to buyer-seller relationships, PCV is defined as a buyer’s perception of having being treated wrongly regarding the terms of an exchange agreement with an individual seller. PCV with individual sellers is proposed as a formative first-order construct driven by the occurrence of fraud, product misrepresentation, contract default, delivery delay, and failure to follow product guarantees and payment policies. PCV with an individual seller is proposed to prompt a generalized perception of PCV with the entire community of sellers in a marketplace. PCV with the community of sellers is hypothesized to negatively affect buyer transaction behavior in a marketplace by directly impacting transaction intentions, price premiums, trust, perceived risk, and the perceived effectiveness of institutional structures. PCV is also hypothesized to act as a moderator, transforming the buyers’ initial trust-based mindset to one more centered on perceived risk. Finally, PCV is hypothesized to attenuate the positive impact of trust on transaction intentions, while reinforcing the negative impact of perceived risk on transaction intentions. It is also proposed to attenuate the impact of the perceived effectiveness of institutional structures on trust, while strengthening its negative effect on perceived risk. As a means of preventing PCV, the buyers’ positive experience and the sellers’ favorable past performance are hypothesized to make PCV with the community of sellers less likely. A combination of primary and secondary longitudinal data from 404 buyers in eBay’s and Amazon’s online auctions support the proposed hypotheses, validating PCV as a central element of buyer-seller relationships in online marketplaces. Interestingly, ex post facto results show that buyers with higher perceptions of PCV with the community of sellers are less likely to experience PCV with an individual seller in the future. Implications for buyer-seller relationships in online marketplaces and the PCV literature are discussed. Also discussed is how the increasing number of buyers who experience PCV in online marketplaces extends the literature that has been largely developed based on buyers who had not experienced PCV.
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“The study follows Pavlou and Gefen (2005) suggestion that e-commerce context moderates the effect of trust, which, in its case, affects the behavioral outcome.”
From How Culture and Trustworthiness Interact in Different E-Commerce Contexts: A Comparative Analysis of Consumers' Intention to Purchase on Platforms of Different Origins (2021) · cites this paper as Pavlou and Gefen, 2005
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Metadata
- Authors
- Pavlou, P. A., & Gefen, D.
- Affiliations
- University of California, Riverside (US)
- Drexel University (US)
- Venue
- Information Systems Research
- Published
- 2005-12
- Volume
- 16
- Issue
- 4
- Pages
- 372-399
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2032091634
- Cited by
- 580
- References
- 102
- Citations by year
- 2026: 12 · 2025: 17 · 2024: 26 · 2023: 16 · 2022: 26 · 2021: 34 · 2020: 32 · 2019: 21 · 2018: 26 · 2017: 28 · 2016: 28 · 2015: 38 · 2014: 39 · 2013: 40 · 2012: 37
- FWCI
- 34.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Systems Research (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Auction Theory and Applications
- Keywords
- psychological contract violation, online marketplaces, buyer-seller relationships, e-commerce trust, risk perception, transaction intention, price premium, institutional effectiveness, delivery delays, eBay, Amazon, online auctions, moderating effect
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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