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:	Sook Yee Lim, Ummilia Balqis Harun, Abdul Rahman Gobil, Noor Afiqah Mustafa, Nur Azwanis Zahid, Syafinaz Amin-Nordin, Umi Kalsom Md Ariffin, Tengku Zetty Maztura Tengku Jamaluddin, Nurul Azmawati Mohamed, Nor Afiah Mohd Zulkefli, Shamarina Shohaimi
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/26d65f43aca94ca3b86d62149490d40f
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spelling	oai:doaj.org-article:26d65f43aca94ca3b86d62149490d40f2021-12-02T20:08:40ZMeasuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test.1932-620310.1371/journal.pone.0256896https://doaj.org/article/26d65f43aca94ca3b86d62149490d40f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256896https://doaj.org/toc/1932-6203Determining 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.Sook Yee LimUmmilia Balqis HarunAbdul Rahman GobilNoor Afiqah MustafaNur Azwanis ZahidSyafinaz Amin-NordinUmi Kalsom Md AriffinTengku Zetty Maztura Tengku JamaluddinNurul Azmawati MohamedNor Afiah Mohd ZulkefliShamarina ShohaimiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0256896 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sook Yee Lim Ummilia Balqis Harun Abdul Rahman Gobil Noor Afiqah Mustafa Nur Azwanis Zahid Syafinaz Amin-Nordin Umi Kalsom Md Ariffin Tengku Zetty Maztura Tengku Jamaluddin Nurul Azmawati Mohamed Nor Afiah Mohd Zulkefli Shamarina Shohaimi Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test.
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.
format	article
author	Sook Yee Lim Ummilia Balqis Harun Abdul Rahman Gobil Noor Afiqah Mustafa Nur Azwanis Zahid Syafinaz Amin-Nordin Umi Kalsom Md Ariffin Tengku Zetty Maztura Tengku Jamaluddin Nurul Azmawati Mohamed Nor Afiah Mohd Zulkefli Shamarina Shohaimi
author_facet	Sook Yee Lim Ummilia Balqis Harun Abdul Rahman Gobil Noor Afiqah Mustafa Nur Azwanis Zahid Syafinaz Amin-Nordin Umi Kalsom Md Ariffin Tengku Zetty Maztura Tengku Jamaluddin Nurul Azmawati Mohamed Nor Afiah Mohd Zulkefli Shamarina Shohaimi
author_sort	Sook Yee Lim
title	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_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_sort	measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: a pilot test.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/26d65f43aca94ca3b86d62149490d40f
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Measuring customer satisfaction on the cleanliness of food premises using fuzzy conjoint analysis: A pilot test.

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