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A comprehensive model of customer trust in two retail stores
Abstract
Purpose: The purpose of this paper is to develop and test a comprehensive model of customer trust in a retail service setting. Three levels of the customer‐to‐store relationship are simultaneously taken into account: customer to sales associates, customer to store branded products, and customer to the store itself. Design/methodology/approach: Using partial least square (PLS) on a sample of 393 customers of an Italian supermarket retailer, a model linking customer trust (in the store, in store branded products and in sales associates) to overall perceived value and store loyalty intentions and behaviors is tested. Subsequently an expanded model to determine the influence of managerially controlled antecedent variables (salespeople's trustworthiness, store environment, store assortment, and communications) is estimated on the various trust levels. Findings: Trust in the salesperson and trust in store branded products have positive effects on overall store trust. Store trust, in turn, increases perceived value and loyalty intentions. Looking at the drivers of the three levels of customer trust, salesperson trustworthiness positively affects only trust in the salesperson. Store environment has a positive impact only on overall trust in the store. Store communication fosters all three levels of customer trust, while store assortment increases both overall trust and trust in store branded products. Practical implications: Findings of the study suggest an alternative perspective to the dominant strategies in grocery retailing services. To foster store patronage, retailers have typically invested in price cuts, promotions and loyalty schemes. Store managers may rather use sales associates, the store environment, store assortment, store branded products, and communication to foster customer trust and increase customer loyalty. Managing store brands with the goal to build trust, as opposed to increase immediate profit margins, may call for a completely different approach to private labels. Similarly, the potential relevance of interpersonal trust may suggest retailers to devote more resources to selection, recruitment and training of sales associates, and may stimulate changes in evaluation criteria, incentive schemes and reward systems. Originality/value: The study aims at filling two important gaps in the literature: the scarcity of comprehensive store patronage models and the lack of exploration of the operational means of improving customer trust in retail services.
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Metadata
- Authors
- Guenzi, P., Johnson, M. D., & Castaldo, S.
- Affiliations
- Bocconi University (IT)
- Cornell University (US)
- Venue
- Journal of Service Management
- Publisher
- Emerald
- Published
- 2009-06-19
- Volume
- 20
- Issue
- 3
- Pages
- 290-316
- ISSN
- 1757-5818 (ISSN-L)
- OpenAlex
- W2079928609
- Cited by
- 191
- References
- 117
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 11 · 2023: 14 · 2022: 8 · 2021: 21 · 2020: 16 · 2019: 12 · 2018: 11 · 2017: 16 · 2016: 11 · 2015: 14 · 2014: 13 · 2013: 12 · 2012: 11
- FWCI
- 13.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of service management (publishedVersion)
- Cornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University) (submittedVersion)
- eCommons (Cornell University) (submittedVersion)
- Archivio istituzionale della Ricerca - Bocconi (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- consumer trust, retail stores, sales associates, store atmosphere, store assortment, store communication, perceived value, store loyalty, loyalty intention, private labels, supermarket retail, store patronage
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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