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Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test

Determining the level of customer satisfaction in cleanliness regarding a product or service is a significant aspect of businesses. However, the availability of feedback tools for consumers to evaluate the cleanliness of a restaurant is a crucial issue as several aspects of cleanliness need to be ev...

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Autores principales: Lim, Sook Yee, Harun, Ummilia Balqis, Gobil, Abdul Rahman, Mustafa, Noor Afiqah, Zahid, Nur Azwanis, Amin-Nordin, Syafinaz, Ariffin, Umi Kalsom Md., Jamaluddin, Tengku Zetty Maztura Tengku, Mohamed, Nurul Azmawati, Zulkefli, Nor Afiah Mohd, Shohaimi, Shamarina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409644/
https://www.ncbi.nlm.nih.gov/pubmed/34469489
http://dx.doi.org/10.1371/journal.pone.0256896
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author Lim, Sook Yee
Harun, Ummilia Balqis
Gobil, Abdul Rahman
Mustafa, Noor Afiqah
Zahid, Nur Azwanis
Amin-Nordin, Syafinaz
Ariffin, Umi Kalsom Md.
Jamaluddin, Tengku Zetty Maztura Tengku
Mohamed, Nurul Azmawati
Zulkefli, Nor Afiah Mohd
Shohaimi, Shamarina
author_facet Lim, Sook Yee
Harun, Ummilia Balqis
Gobil, Abdul Rahman
Mustafa, Noor Afiqah
Zahid, Nur Azwanis
Amin-Nordin, Syafinaz
Ariffin, Umi Kalsom Md.
Jamaluddin, Tengku Zetty Maztura Tengku
Mohamed, Nurul Azmawati
Zulkefli, Nor Afiah Mohd
Shohaimi, Shamarina
author_sort Lim, Sook Yee
collection PubMed
description Determining the level of customer satisfaction in cleanliness regarding a product or service is a significant aspect of businesses. However, the availability of feedback tools for consumers to evaluate the cleanliness of a restaurant is a crucial issue as several aspects of cleanliness need to be evaluated collectively. To overcome this issue, this study designed a survey instrument based on the standard form used for grading the food premises and transformed it into a seven Likert scale questionnaire and consists of seven questions. This study employed fuzzy conjoint analysis to measure the level of satisfaction in cleanliness in food premises. This pilot study recruited 30 students in Universiti Teknologi MARA (UiTM) Seremban 3. The student’s perception was represented by the scores calculated based on their degree of similarities and corresponding levels of satisfaction, whereby, only scores with the highest degree of similarity were selected. Furthermore, this study identified the aspects of hygiene that assessed based on the customers’ satisfaction upon visiting the premises. The results indicated that the fuzzy conjoint analysis produced a similar outcome as the statistical mean, thus, was useful for the evaluation of customer satisfaction on the cleanliness of food premises.
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spelling pubmed-84096442021-09-02 Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test Lim, Sook Yee Harun, Ummilia Balqis Gobil, Abdul Rahman Mustafa, Noor Afiqah Zahid, Nur Azwanis Amin-Nordin, Syafinaz Ariffin, Umi Kalsom Md. Jamaluddin, Tengku Zetty Maztura Tengku Mohamed, Nurul Azmawati Zulkefli, Nor Afiah Mohd Shohaimi, Shamarina PLoS One Research Article Determining the level of customer satisfaction in cleanliness regarding a product or service is a significant aspect of businesses. However, the availability of feedback tools for consumers to evaluate the cleanliness of a restaurant is a crucial issue as several aspects of cleanliness need to be evaluated collectively. To overcome this issue, this study designed a survey instrument based on the standard form used for grading the food premises and transformed it into a seven Likert scale questionnaire and consists of seven questions. This study employed fuzzy conjoint analysis to measure the level of satisfaction in cleanliness in food premises. This pilot study recruited 30 students in Universiti Teknologi MARA (UiTM) Seremban 3. The student’s perception was represented by the scores calculated based on their degree of similarities and corresponding levels of satisfaction, whereby, only scores with the highest degree of similarity were selected. Furthermore, this study identified the aspects of hygiene that assessed based on the customers’ satisfaction upon visiting the premises. The results indicated that the fuzzy conjoint analysis produced a similar outcome as the statistical mean, thus, was useful for the evaluation of customer satisfaction on the cleanliness of food premises. Public Library of Science 2021-09-01 /pmc/articles/PMC8409644/ /pubmed/34469489 http://dx.doi.org/10.1371/journal.pone.0256896 Text en © 2021 Lim et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lim, Sook Yee
Harun, Ummilia Balqis
Gobil, Abdul Rahman
Mustafa, Noor Afiqah
Zahid, Nur Azwanis
Amin-Nordin, Syafinaz
Ariffin, Umi Kalsom Md.
Jamaluddin, Tengku Zetty Maztura Tengku
Mohamed, Nurul Azmawati
Zulkefli, Nor Afiah Mohd
Shohaimi, Shamarina
Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test
title Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test
title_full Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test
title_fullStr Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test
title_full_unstemmed Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test
title_short Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test
title_sort measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: a pilot test
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409644/
https://www.ncbi.nlm.nih.gov/pubmed/34469489
http://dx.doi.org/10.1371/journal.pone.0256896
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