Multiple criteria decision making in hotel location: Does it relate to postpurchase consumer evaluations?

Aksoy, Şafak; Özbük, Raife Meltem Yetkin

doi:10.1016/j.tmp.2017.02.001

Cited by 61 publications

(37 citation statements)

References 48 publications

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“…Adicionalmente, las webs globales de viajes más importantes, las plataformas de alojamiento colaborativas, y las empresas buscadoras y "agregadoras" de viajes que comparten experiencias -un ejemplo de este último caso es Booking.com-, contienen opiniones/valoraciones post-compra acerca de la idoneidad de las ubicaciones hosteleras contratadas. Estas valoraciones constituyen una importante fuente de datos que proporciona información subjetiva de los viajeros sobre qué factores de localización motivan su estancia (Aksoy & Ozbuk, 2017;Ram & Hall, 2018), i.e. puntúan e informan acerca de las cualidades y atractivos ambientales que construyen la percepción de la centralidad urbana de carácter turístico.…”

Section: Multidimensionalidad Y Toma De Decisiones En Base a La Uatunclassified

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Patrones espaciales de localización de alojamientos turísticos mediante análisis complementarios e integrados: SIG, sintaxis espacial y web-scraping

Campos-Sánchez

Chillón

2020

BAGE

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El turismo urbano es una importante actividad para las ciudades en la actualidad. Es responsable de la transformación y especialización de múltiples áreas urbanas a nivel mundial, lo que no está exento de problemas. Las investigaciones al respecto se han producido sobre grandes ciudades, existiendo un vacío de conocimiento sobre categorías urbanas inferiores. El alojamiento es la infraestructura básica que lo soporta, constituyendo su localización un indicador de idoneidad turística. El objeto del trabajo consiste en conocer qué factores ambientales y en qué medida respaldan la elección de alojamiento turístico según su localización. Para ello se geocodifican los alojamientos estudiados, se mapean factores de influencia y se realizan análisis espaciales y de proximidad. Posteriormente se comprueba estadísticamente la relación entre factores ambientales y evaluaciones web post-compra de viajeros. Los resultados muestran cómo el turismo urbano se distribuye espacialmente respondiendo a patrones relacionados con los usos del suelo y la cercanía a las atracciones turísticas. Se evidencia un ejemplo de estructura turística propia de ciudades medias constituida por ubicaciones de alojamientos bien valoradas próximas a concentraciones turísticas patrimoniales localizadas en el centro histórico. Los resultados pueden ser útiles a la inversión privada y a la planificación para mejorar estas ciudades.

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Section: Multidimensionalidad Y Toma De Decisiones En Base a La Uatunclassified

“…Aksoy & Ozbuk, 2017). Entonces, si elaboramos una lista de los factores ambientales Boletín de la Asociación de Geógrafos Españoles, 84, 2807, 1-35…”

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Patrones espaciales de localización de alojamientos turísticos mediante análisis complementarios e integrados: SIG, sintaxis espacial y web-scraping

Campos-Sánchez

Chillón

2020

BAGE

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“…Chen and Tsai [1] proposed a data mining framework using the rough set theory (RST) to support location selection decisions. Aksoy and Yetkin Ozbuk [16] employed the preference selection index (PSI) to rank hotels by location. Chen et al [17] used the preference ranking organization method for enrichment evaluations (PROMETHEE) based on the cloud model and AHP to select location for a large charging power station.…”

Section: Mcdm For Location Selectionmentioning

confidence: 99%

“…Based on discussion with senior executives, top 12 criteria were obtained: population growth rate [1], female population size (executive proposed), flow of female (executive proposed), population density [1,19], closeness to a metro station [1,15,16,22,23], closeness to a bus stop [1,15,16,22,23], location on a main road [1], closeness to a commercial area [15], cost of rent [23], building condition (executive proposed), visibility [1], and competition density [1,15]. Based on past research [1,15] and discussions with senior executives, the hierarchy was constructed as shown in Figure 2.…”

Section: Empirical Applicationmentioning

confidence: 99%

A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

Liao

Hsu

Chang

2018

Mathematical Problems in Engineering

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Location selection is a critical problem for businesses that can determine the success of an organization. Selecting the optimal location from a pool of alternatives belongs to a multiple criteria decision making (MCDM) problem. This study employed a hybrid MCDM technique to select locations for women's fitness centers in Taiwan. In the beginning, the fuzzy Delphi method was utilized to obtain selection criteria from interviewed senior executives. In the second stage, the decision making trial and evaluation laboratory (DEMATEL) was employed to extract interdependencies between the selection criteria within each perspective. On the basis of interdependencies between the selection criteria, the analytic network process (ANP) was used to get respective weights of each criterion. Finally, the technique for order preference by similarity to ideal solution (TOPSIS) was ranking the alternatives. To demonstrate application of the proposed model and illustrate a location selection problem, a case was conducted. The capabilities and effectiveness of the proposed model are revealed.

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“…In the area of the hotel industry, the MCDM methods are often used for the assessment of the service quality (Hsieh, L.-H. Lin, & Y.-Y. Lin, 2008;Tseng, 2009;Shirouyehzad, Lotfi, Arabzad, & Dabestani, 2013), the evaluation of the energy efficiency of hotel buildings (Xu & Chan, 2013), the selection of a marketing strategy (Lin, Lee, & Wu, 2009;Wu, Lin, & Lee, 2010;Varini, Scaglione, & Schegg, 2011), the location selection (Li, Law, Vu, & Rong, 2013;Emir & Saraçli, 2014;Krylovas, Zavadskas, & Kosareva, 2016;Aksoy & Ozbuk, 2017), the evaluation of the accommodation quality (Park, Kim, & Choo, 2014), etc. The selection of the optimal hotel construction project to invest in by applying some MCDM methods is an interesting topic not fully considered in light of the newly-developed approaches.…”

Section: Introductionmentioning

confidence: 99%

A Framework for the Evaluation of Hotel Property Development Projects

Karabašević

Stanujkić

2019

International Journal of Strategic Property Management

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The main goal of the manuscript is to propose the framework that would facilitate the selection of hotel construction projects for an investment based on the application of the WS PLP method. The key reason why the WS PLP method is used is reflected in its ability to more accurately express decision-makers' stand regarding the desired preference ratings of criteria by incorporating ppr values into the decision-making process. Also, the WS PLP method implies the introduction of the compensation coefficient, which provides a possibility of the decision-maker's selection between an alternative that has the best matching with the preferred performance ratings expressed through ppr values and the one that has the best overall performance ratings. The applicability and effectiveness of the proposed framework are demonstrated through a real case study on the five types of the hotels that should be constructed on Kopaonik Mountain in Serbia.

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Multiple criteria decision making in hotel location: Does it relate to postpurchase consumer evaluations?

Cited by 61 publications

References 48 publications

Patrones espaciales de localización de alojamientos turísticos mediante análisis complementarios e integrados: SIG, sintaxis espacial y web-scraping

Patrones espaciales de localización de alojamientos turísticos mediante análisis complementarios e integrados: SIG, sintaxis espacial y web-scraping

A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

A Framework for the Evaluation of Hotel Property Development Projects

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