The DOI matches its Crossref record; 115 of the 117 references it cites were found in a registry or an index.
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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“In 2022, the Dutch Authority for Consumers and Markets (ACM) ordered H&M to remove the terms”
From Protecting Consumers Against „Greenwashing” under European Union Law: Lessons for Vietnam (2026) · cites this paper as [10]
Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
(1998) · Cited by 12,725
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
(1974) · Medical Entomology and Zoology · Cited by 7,295
Servicescapes: The Impact of Physical Surroundings on Customers and Employees
Bitner, M. J. (1992) · Journal of Marketing · doi:10.2307/1252042 · Cited by 7,271
An Examination of the Nature of Trust in Buyer-Seller Relationships
Doney, P. M., & Cannon, J. P. (1997) · Journal of Marketing · doi:10.2307/1251829 · Cited by 6,822
Chaudhuri, A., & Holbrook, M. B. (2001) · Journal of Marketing · doi:10.1509/jmkg.65.2.81.18255 · Cited by 6,674
Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000) · Journal of Retailing · doi:10.1016/s0022-4359(00)00028-2 · Cited by 6,398
Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M., & Lauro, C. (2005) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2004.03.005 · Cited by 6,312
Research works printed but not linked: 8
- Bagozzi, R.P. and Yi, Y. (1994), “Advanced topics in structural equation models”, in Bagozzi, R.P. (Ed.), Advanced Methods of Marketing Research, Blackwell, Oxford, pp. 1‐51.
- Berry, L.L. (1996), “Retailers with a future”, Marketing Management, Vol. 5, pp. 39‐46.
- Claycomb, C. and Martin, C.L. (2002), “Building customer relationships: an inventory of service providers' objectives and practices”, Journal of Services Marketing, Vol. 16 No. 7, pp. 615‐35.
- Donovan, R.J. and Rossiter, J.R. (1982), “Store atmosphere: an environmental psychology approach”, Journal of Retailing, Vol. 58, pp. 34‐57.
- Jacoby, J. and Mazursky, D. (1984), “Linking brand and retailer images: do the potential risks outweigh the potential benefits?”, Journal of Retailing, Vol. 60, pp. 105‐22.
- Jones, T.O. and Sasser, W.E. Jr (1995), “Why satisfied customer defect”, Harvard Business Review, Vol. 73, pp. 88‐101.
- Price, L.L. and Arnould, E.J. (1999), “Commercial friendship: service provider‐client relationship in context”, Journal of Marketing, Vol. 63, pp. 38‐56. · DOI
- Zimmer, M.R. and Golden, L.L. (1988), “Impressions of retail stores: a content analysis of consumer images”, Journal of Retailing, Vol. 64, pp. 265‐92.
Cited by
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Konuk, F. A. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.04.011 · Cited by 435
Impact of store environment on impulse buying behavior
Mohan, G., Sivakumaran, B., & Sharma, P. (2013) · European Journal of Marketing · doi:10.1108/ejm-03-2011-0110 · Cited by 502
Wünderlich, N. V., von Wangenheim, F., & Bitner, M. J. (2012) · Journal of Service Research · doi:10.1177/1094670512448413 · Cited by 343
Dang, V. T., Nguyen, N., & Pervan, S. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102082 · Cited by 266
Analyzing key determinants of online repurchase intentions
Har Lee, C., Cyril Eze, U., & Oly Ndubisi, N. (2011) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/13555851111120498 · Cited by 218
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
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