Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view

Bibliographic Details
Main Author: Muneeb, F.
Publication Date: 2023
Other Authors: Ramos, R. F., Wanke, P., Lashari, F.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10071/29991
Summary: There is a growing emphasis on sustainability within the hospitality industry. However, research on hyper-local restaurants’ strategic sustainable strategies is scarce. Accordingly, this study aims to unveil the hyper-local Chinese restaurateurs' critical success factors (CSFs). Grounded on the CSFs identified in the literature and validated by experts, data were collected from hyper-local restaurant owners and analysed through multi-criteria decision-making (MCDM), best-worst method (BWM), and hesitant fuzzy shapely order weights average (HSFOWA) approach. Results suggest that green entrepreneurial orientation is symbiotic, and green customer education, ability, motivation, capability, entrepreneurial orientation, and high-commitment work practices significantly impact the sustainability of hyper-local restaurants. Findings stimulate sustainable strategies based on available CSFs. Practical and managerial implications are discussed.
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spelling Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based viewSustainable strategiesCritical success factorsMulti-criteria decision-makingBest–worst methodHyper-local Chinese restaurantsThere is a growing emphasis on sustainability within the hospitality industry. However, research on hyper-local restaurants’ strategic sustainable strategies is scarce. Accordingly, this study aims to unveil the hyper-local Chinese restaurateurs' critical success factors (CSFs). Grounded on the CSFs identified in the literature and validated by experts, data were collected from hyper-local restaurant owners and analysed through multi-criteria decision-making (MCDM), best-worst method (BWM), and hesitant fuzzy shapely order weights average (HSFOWA) approach. Results suggest that green entrepreneurial orientation is symbiotic, and green customer education, ability, motivation, capability, entrepreneurial orientation, and high-commitment work practices significantly impact the sustainability of hyper-local restaurants. Findings stimulate sustainable strategies based on available CSFs. Practical and managerial implications are discussed.SAGE2023-12-13T10:32:15Z2024-01-01T00:00:00Z20242024-12-03T14:51:53Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/29991eng2319-714510.1177/23197145231161232Muneeb, F.Ramos, R. F.Wanke, P.Lashari, F.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-12-08T01:16:52Zoai:repositorio.iscte-iul.pt:10071/29991Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:03:50.632100Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view
title Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view
spellingShingle Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view
Muneeb, F.
Sustainable strategies
Critical success factors
Multi-criteria decision-making
Best–worst method
Hyper-local Chinese restaurants
title_short Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view
title_full Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view
title_fullStr Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view
title_full_unstemmed Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view
title_sort Revamping sustainable strategies for hyper-local restaurants: A multi-criteria decision-making framework and resource-based view
author Muneeb, F.
author_facet Muneeb, F.
Ramos, R. F.
Wanke, P.
Lashari, F.
author_role author
author2 Ramos, R. F.
Wanke, P.
Lashari, F.
author2_role author
author
author
dc.contributor.author.fl_str_mv Muneeb, F.
Ramos, R. F.
Wanke, P.
Lashari, F.
dc.subject.por.fl_str_mv Sustainable strategies
Critical success factors
Multi-criteria decision-making
Best–worst method
Hyper-local Chinese restaurants
topic Sustainable strategies
Critical success factors
Multi-criteria decision-making
Best–worst method
Hyper-local Chinese restaurants
description There is a growing emphasis on sustainability within the hospitality industry. However, research on hyper-local restaurants’ strategic sustainable strategies is scarce. Accordingly, this study aims to unveil the hyper-local Chinese restaurateurs' critical success factors (CSFs). Grounded on the CSFs identified in the literature and validated by experts, data were collected from hyper-local restaurant owners and analysed through multi-criteria decision-making (MCDM), best-worst method (BWM), and hesitant fuzzy shapely order weights average (HSFOWA) approach. Results suggest that green entrepreneurial orientation is symbiotic, and green customer education, ability, motivation, capability, entrepreneurial orientation, and high-commitment work practices significantly impact the sustainability of hyper-local restaurants. Findings stimulate sustainable strategies based on available CSFs. Practical and managerial implications are discussed.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-13T10:32:15Z
2024-01-01T00:00:00Z
2024
2024-12-03T14:51:53Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/29991
url http://hdl.handle.net/10071/29991
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2319-7145
10.1177/23197145231161232
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