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Modified Analytic Hierarchy Process Site Selection Model for Dental Clinics in High-Rent Commercial Buildings

INTRODUCTION: Location is a factor that highly influences a business’s ability to carry out various activities. Site selection, therefore, must take into account all the potential benefits. A dental clinic is an enterprise that should prioritize the site selection. In Thailand, many dental clinics o...

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Detalles Bibliográficos
Autores principales: Vimonkittipong, Umaporn, Tochaiwat, Kongkoon, Sirithanyarat, Suriya, Thumvisuttivarakorn, Varalee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615930/
https://www.ncbi.nlm.nih.gov/pubmed/36312576
http://dx.doi.org/10.4103/jispcd.JISPCD_89_22
Descripción
Sumario:INTRODUCTION: Location is a factor that highly influences a business’s ability to carry out various activities. Site selection, therefore, must take into account all the potential benefits. A dental clinic is an enterprise that should prioritize the site selection. In Thailand, many dental clinics operate in rented commercial buildings on a long-term lease basis. OBJECTIVE: The objective of this research was to create a model for selecting suitable sites for dental clinic businesses in commercial buildings in Bangkok with rental fees exceeding $750 per month. MATERIALS AND METHODS: The research was conducted by collecting data from a sample group consisting of 30 participants who were owners, partners, or dentists of dental clinics located in commercial buildings in Bangkok with rental fees more than $750 per month. Data were then analyzed with descriptive statistics: namely, frequency, percentage, mean, and modified analytic hierarchy process. RESULTS: The results revealed the ranking of the main criteria, as well as their weights, for the site selection of commercial buildings in Bangkok with rents greater than $750 per unit per month to be used as a dental clinic: transportation (39.40%), neighborhood (23.61%), facilities (19.45%), parking (12.82%), and competition (4.72%), respectively, with three most important subcriteria: namely, being on a major road (19.00%), being near an electric express train station (9.10%), and being on the secondary road (8.92%), respectively.