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Evaluating drivers of Super Market selection with the use of fuzzy set qualitative comparative analysis

Tsagkaraki Despoina-Aimilia

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URI: http://purl.tuc.gr/dl/dias/C07F7B9C-287C-4F6B-AF4B-CB973E0AC6F9
Year 2019
Type of Item Master Thesis
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Bibliographic Citation Despoina-Aimilia Tsagkaraki, "Evaluating drivers of Super Market selection with the use of fuzzy set qualitative comparative analysis", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2019 https://doi.org/10.26233/heallink.tuc.83851
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Summary

The purpose of this thesis is to find the necessary and capable Customer Satisfaction Conditions using the qualitative benchmarking method using fs/QCA fuzzy sets.The fs/QCA method uses Boole's fuzzy set theory and algebra to analyze the extent to which certain factors or combinations of factors are present or absent when a phenomenon under consideration occurs or not. That is, it identifies the causal conditions (combinations of dimensions of satisfaction), which are capable of leading to a high or low result (Total Satisfaction) and any conditions necessary for the presence of the effect (Total Satisfaction).Specifically, they will be used to examine the nine (9) dimension relationship content such as (price, variety, quality, layout, access, offers, service, atmosphere and reputation) and 921 Total Supermarket Customer Satisfaction, utilizing the data of an earlier market research to establish the rules for consumer behavior.The sample will then be split up, distinguishing the latter into satisfied and dissatisfied customers.In short, the 'exploitation' of market research data through qualitative benchmarking using fuzzy sets is presented.

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