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Customer satisfaction in short food supply chains: a multiple criteria decision analysis approach

Tiganis Antonios, Grigoroudis Evangelos, Chrysochou, Polymeros

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URIhttp://purl.tuc.gr/dl/dias/ACF51AEB-043F-477A-A833-A7A3E70D7BCC-
Identifierhttps://doi.org/10.1016/j.foodqual.2022.104750-
Identifierhttps://www.sciencedirect.com/science/article/pii/S0950329322002257-
Languageen-
Extent9 pagesen
TitleCustomer satisfaction in short food supply chains: a multiple criteria decision analysis approachen
CreatorTiganis Antoniosen
CreatorGrigoroudis Evangelosen
CreatorΓρηγορουδης Ευαγγελοςel
CreatorChrysochou, Polymerosen
PublisherElsevieren
Content SummaryIn this paper, we study customer satisfaction in short food supply chains. Specifically, we address how elements of the marketing mix of short food supply chains drive customer satisfaction. Our empirical work is based on a survey adopting a method known as the multicriteria satisfaction analysis. Our results show that the process of sales and the producers are the most important marketing mix elements and receive strong indications of customer satisfaction, thus offering a competitive advantage for short food supply chains. Pricing, place, purchase environment, and promotion can be described as potential threats to short food supply chains. Finally, the product is rated as low in importance but high in satisfaction, which suggests that consumers take its premium quality for granted. Our results suggest that emphasis should be placed on the processes of sales and producers.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2023-12-22-
Date of Publication2023-
SubjectShort food supply chains (SFSCs)en
SubjectCustomer satisfactionen
SubjectMarketing mixen
SubjectMulticriteria satisfaction analysis (MUSA)en
SubjectFood retailen
Bibliographic CitationA. Tiganis, E. Grigoroudis, and P. Chrysochou, “Customer satisfaction in short food supply chains: a multiple criteria decision analysis approach,” Food Qual. Preference, vol. 104, Mar. 2023, doi: 10.1016/j.foodqual.2022.104750.en

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