Customer love: Research on the ranking of food and beverage locations

Intense competition in today’s markets has meant that customer loyalty is no longer as strong as it used to be. In this context, many researchers have aimed to add new values to the concept of loyalty, particularly focusing on the concept of “love”. This study explores customers’ feelings towards lo...

Full description

Bibliographic Details
Main Authors: Bahar Türk, Aysel Erciş
Format: Article
Language:English
Published: Sciendo 2015-09-01
Series:Management şi Marketing
Subjects:
Online Access:https://doi.org/10.1515/mmcks-2015-0009
id doaj-10736228aaea4970ae171937594633a7
record_format Article
spelling doaj-10736228aaea4970ae171937594633a72021-09-06T19:20:22ZengSciendoManagement şi Marketing1842-02062015-09-0110210311710.1515/mmcks-2015-0009mmcks-2015-0009Customer love: Research on the ranking of food and beverage locationsBahar Türk0Aysel Erciş1Atatürk University, Erzurum, TurkeyAtatürk University, Erzurum, TurkeyIntense competition in today’s markets has meant that customer loyalty is no longer as strong as it used to be. In this context, many researchers have aimed to add new values to the concept of loyalty, particularly focusing on the concept of “love”. This study explores customers’ feelings towards location in order to identify their preferred - or “most loved” - food and beverage locations. A questionnaire was administered to 395 adult customers living in the city centre of Erzurum, Turkey. The fuzzy Shannon’s entropy method is used to identify the weights of each criterion of love, while the fuzzy VIKOR method is used to rank alternative locations. As a result of the analyses, the most prominent expression was found as “I love this location!”, and customers’ most loved places were identified as those serving regional dishes in Erzurum Province, Turkey. The study uses fuzzy numbers to rank alternatives according to the criteria of love. In addition, the ranking is based on degrees of fuzziness by changing the α-cut levels of the fuzzy numbers. The study examines how customers’ preferences between alternatives alter via this changehttps://doi.org/10.1515/mmcks-2015-0009retailingconsumer behaviourcustomer lovefuzzy shannon entropyfuzzy vikor
collection DOAJ
language English
format Article
sources DOAJ
author Bahar Türk
Aysel Erciş
spellingShingle Bahar Türk
Aysel Erciş
Customer love: Research on the ranking of food and beverage locations
Management şi Marketing
retailing
consumer behaviour
customer love
fuzzy shannon entropy
fuzzy vikor
author_facet Bahar Türk
Aysel Erciş
author_sort Bahar Türk
title Customer love: Research on the ranking of food and beverage locations
title_short Customer love: Research on the ranking of food and beverage locations
title_full Customer love: Research on the ranking of food and beverage locations
title_fullStr Customer love: Research on the ranking of food and beverage locations
title_full_unstemmed Customer love: Research on the ranking of food and beverage locations
title_sort customer love: research on the ranking of food and beverage locations
publisher Sciendo
series Management şi Marketing
issn 1842-0206
publishDate 2015-09-01
description Intense competition in today’s markets has meant that customer loyalty is no longer as strong as it used to be. In this context, many researchers have aimed to add new values to the concept of loyalty, particularly focusing on the concept of “love”. This study explores customers’ feelings towards location in order to identify their preferred - or “most loved” - food and beverage locations. A questionnaire was administered to 395 adult customers living in the city centre of Erzurum, Turkey. The fuzzy Shannon’s entropy method is used to identify the weights of each criterion of love, while the fuzzy VIKOR method is used to rank alternative locations. As a result of the analyses, the most prominent expression was found as “I love this location!”, and customers’ most loved places were identified as those serving regional dishes in Erzurum Province, Turkey. The study uses fuzzy numbers to rank alternatives according to the criteria of love. In addition, the ranking is based on degrees of fuzziness by changing the α-cut levels of the fuzzy numbers. The study examines how customers’ preferences between alternatives alter via this change
topic retailing
consumer behaviour
customer love
fuzzy shannon entropy
fuzzy vikor
url https://doi.org/10.1515/mmcks-2015-0009
work_keys_str_mv AT baharturk customerloveresearchontherankingoffoodandbeveragelocations
AT ayselercis customerloveresearchontherankingoffoodandbeveragelocations
_version_ 1717777033336979456