The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Consumer Perceptions of Interpersonal Equity and Satisfaction in Transactions: A Field Survey Approach
Abstract
Automobile purchasers were surveyed about feelings toward their inputs to and outcomes from the sales transaction, as well as their perceptions of the inputs and outcomes of the salesperson. Structural equation modeling with maximum likelihood estimation shows two concepts advanced in the equity literature, fairness and preference (advantageous inequity), to be related differentially to input and outcome judgments. No necessary symmetry is observed between the weights attached to inputs and outcomes or between those attached to self and salesperson. When framed in a larger perspective involving satisfaction with the salesperson, the fairness dimension mediates the effect of inputs and outcomes on satisfaction whereas preference does not. The fairness influence is robust against the simultaneous inclusion of disconfirmation in the satisfaction equation. Satisfaction, in turn, is related strongly to the consumer's intention cognitions. The findings suggest that the retail sales transaction may differ in substantive ways from the subject-peer and worker-coworker comparisons in other disciplines and that models of interpersonal satisfaction in the sales transaction should include the mediating effect of the fairness dimension of equity. The managerial implications of these findings are discussed.
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“Equity theory posits that an individual's motivation level is directly proportional to the perceptions of fairness (Oliver and Swan, 1989).”
From Electronic shopping cart abandonment: What do we know and where should we be heading? (2024) · cites this paper as Oliver and Swan, 1989
In the citing paper
“Based on (Crosby and Stevens 1987); (Garbarino and Johnson 1999); and (Oliver and Swan 1989).”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Oliver and Swan 1989
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Metadata
- Authors
- Oliver, R. L., & Swan, J. E.
- Affiliations
- University of Pennsylvania (US)
- University of Alabama (US)
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1989-04
- Volume
- 53
- Issue
- 2
- Pages
- 21-35
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2327975117
- Cited by
- 2,084
- References
- 46
- Citations by year
- 2026: 27 · 2025: 33 · 2024: 37 · 2023: 54 · 2022: 67 · 2021: 103 · 2020: 78 · 2019: 83 · 2018: 82 · 2017: 110 · 2016: 87 · 2015: 122 · 2014: 96 · 2013: 97 · 2012: 103
- FWCI
- 12.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
- Locations
- Journal of Marketing (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employee Performance and Motivation
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Keywords
- fairness, customer satisfaction, salespeople, car buying, sales transaction data, self-other comparison, disconfirmation, purchase intention, retail sales
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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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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.