Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.]

Customers’ perceptions of a restaurant and their overall satisfaction level can be significantly improved by investing in and improving its physical environment. Applying Lean Service Principles in restaurants enables the identification of areas for enhancement and proposes...

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Main Author: Abu Hasan, Suzanawati
Format: Article
Language:English
Published: UiTM Cawangan Perlis 2024
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Online Access:https://ir.uitm.edu.my/id/eprint/102549/1/102549.pdf
https://ir.uitm.edu.my/id/eprint/102549/
https://jcrinn.com/index.php/jcrinn
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.102549
record_format eprints
spelling my.uitm.ir.1025492024-10-18T08:53:02Z https://ir.uitm.edu.my/id/eprint/102549/ Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.] jcrinn Abu Hasan, Suzanawati Fuzzy logic Customers’ perceptions of a restaurant and their overall satisfaction level can be significantly improved by investing in and improving its physical environment. Applying Lean Service Principles in restaurants enables the identification of areas for enhancement and proposes solutions to achieve exceptional outcomes efficiently, using minimal time and resources. Restaurant management needs more information about customers' preferences to overcome existing weaknesses. The research aims to improve a restaurant's service quality using fuzzy logic by examining the data attributes provided within a service quality leanness assessment. Ten physical environment data attributes were collected from data attributes within a leanness assessment of quality service for use in this study. Recognizing the weaker attributes would assist restaurant management in improving the physical environment of their restaurant so that they could capture more customers in the future and positively impact loyal customers. The result shows three attributes with the lowest ranking scores: the visually appealing dining area, the restaurant's décor typical of its image and price range and the easily readable menu. The study revealed that parking lots with visually appealing features and well-functioning parking management systems obtained a maximum score. In response, the restaurant must take the appropriate actions to improve them. Based on the findings of this study, evaluating a restaurant's physical attributes may enhance customer happiness. The restaurant management would only be able to resolve the current challenges faced by their company with access to the findings of this survey, as they would need an in-depth knowledge of their consumers' preferences UiTM Cawangan Perlis 2024-09 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/102549/1/102549.pdf Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.]. (2024) Journal of Computing Research and Innovation (JCRINN) <https://ir.uitm.edu.my/view/publication/Journal_of_Computing_Research_and_Innovation_=28JCRINN=29/>, 9 (2): 1. pp. 1-12. ISSN 2600-8793 https://jcrinn.com/index.php/jcrinn
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Fuzzy logic
spellingShingle Fuzzy logic
Abu Hasan, Suzanawati
Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.]
description Customers’ perceptions of a restaurant and their overall satisfaction level can be significantly improved by investing in and improving its physical environment. Applying Lean Service Principles in restaurants enables the identification of areas for enhancement and proposes solutions to achieve exceptional outcomes efficiently, using minimal time and resources. Restaurant management needs more information about customers' preferences to overcome existing weaknesses. The research aims to improve a restaurant's service quality using fuzzy logic by examining the data attributes provided within a service quality leanness assessment. Ten physical environment data attributes were collected from data attributes within a leanness assessment of quality service for use in this study. Recognizing the weaker attributes would assist restaurant management in improving the physical environment of their restaurant so that they could capture more customers in the future and positively impact loyal customers. The result shows three attributes with the lowest ranking scores: the visually appealing dining area, the restaurant's décor typical of its image and price range and the easily readable menu. The study revealed that parking lots with visually appealing features and well-functioning parking management systems obtained a maximum score. In response, the restaurant must take the appropriate actions to improve them. Based on the findings of this study, evaluating a restaurant's physical attributes may enhance customer happiness. The restaurant management would only be able to resolve the current challenges faced by their company with access to the findings of this survey, as they would need an in-depth knowledge of their consumers' preferences
format Article
author Abu Hasan, Suzanawati
author_facet Abu Hasan, Suzanawati
author_sort Abu Hasan, Suzanawati
title Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.]
title_short Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.]
title_full Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.]
title_fullStr Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.]
title_full_unstemmed Evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / Suzanawati Abu Hasan ... [et al.]
title_sort evaluating lean service principles in restaurants: a data-driven approach with fuzzy logic / suzanawati abu hasan ... [et al.]
publisher UiTM Cawangan Perlis
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/102549/1/102549.pdf
https://ir.uitm.edu.my/id/eprint/102549/
https://jcrinn.com/index.php/jcrinn
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