A fuzzy AHP approach to construct international hotel spa atmosphere evaluation model

Chen, Yen-Cheng; Yu, Tung-Han; Tsui, Pei-Ling; Lee, Ching-Sung

doi:10.1007/s11135-012-9792-2

Cited by 31 publications

(12 citation statements)

References 36 publications

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“…AHP and DEA Evaluation of the service quality in a 5star hotels Akincilar and Dagdeviren 2014AHP and PROMETHEE Evaluation of 5-star hotel websites Shahin et al (2014) Webqual and fuzzy AHP Evaluation of hospitality internet services Fabac and Zver (2011) SWOT analysis and AHP Formulation of future tourist orientation Lee and Liu (2011) SWOT analysis and AHP Formulation of nine recreational areas Roy and al. (2018) AHP and rough numbers Evaluation of medical tourism sites Ip et al (2012) fuzzy AHP Evaluation of the relative importance of hotel website functionality criteria Fu et al (2011) fuzzy AHP and VIKOR Hospitality performance analysis Sohrabi et al (2012) fuzzy AHP Determination of the best marketing strategy for private hotels Chen et al (2012) fuzzy AHP Evaluation of the criteria for giving an excellent hotel spa ambience Tsaur and Lin (2014) fuzzy AHP Evaluation of the criteria for the selection of an overseas travel intermediary for group package tours Sharma and Bhagwat (2007) In this paper, we combine the balanced scorecard and AHP methods as described in Clinton et al (2002). The paper then applies this combination to 5-star hotels in Malta from the point of view of the principal demand and supply side hospitality industry stakeholders, namely customers and hotel managers.…”

Section: Selection Of a Resort Locationmentioning

confidence: 99%

Do five-star hotel managers know their customers’ priorities? An AHP-Prioritised scorecard study

Ishizaka

Quintano

Labib

et al. 2019

EMJB

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Purpose Regular surveys by the Malta Hotels & Restaurants Association indicate a substantial improvement in the financial performance of five-star hotels in Malta in recent years. Therefore, the purpose of this paper is to investigate if this positive performance is primarily due to customer centricity by management. Design/methodology/approach The assessment is based on the findings of a quantitative study that compared the results of a demand side (customer survey) with those of a supply side (management survey). In total, 24 decision-choice criteria were framed within the four perspectives (financial, customer, internal process and employee learning/growth) of the balanced scorecard. Actual and potential customers of five-star hotels and hotel managers were asked to rank the decision-choice criteria and the balanced scorecard perspectives. The multi-criteria decision analysis was carried out by means of the AHP. Findings The study showed that managers in the five-star hospitality sector in Malta are in harmony with customer expectations given the strong positive correlation between the results of the customer and management surveys. Research limitations/implications This research is limited to the island of Malta but can be easily replicated for other touristic destinations. Practical implications This study has implication for hospitality customers, hotel managers and policy makers to help them to identify weak areas of hotel performance and improve them. Originality/value The paper has developed a Prioritised scorecard, a new hybrid balanced scorecard and AHP. Targets are therefore prioritised, which allow a better allocation of scarce resources.

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Section: Selection Of a Resort Locationmentioning

confidence: 99%

Do five-star hotel managers know their customers’ priorities? An AHP-Prioritised scorecard study

Ishizaka

Quintano

Labib

et al. 2019

EMJB

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“…In some studies, all of the calculations are carried out with FN and FS rules while some other studies defuzzify the fuzzy decision matrix before starting the calculations and continue the solution by using crisp MCDM methods. [2][3][4][5][6][7][8], which prefer defuzzification at the beginning of the solution right after the generation of decision matrix, use FN just for the pairwise comparisons. After obtaining the defuzzified decision matrix as crisp decision matrix, they continue the rest of the solution with the crisp AHP method.…”

Section: Fuzzy Multi Criteria Decision Makingmentioning

confidence: 99%

The Importance of The Place of Defuzzification Step In Fuzzy Systems

Çelikbilek¹

2019

Sakarya University Journal of Science

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Fuzzy logic and fuzzy based techniques are applied constantly in both social sciences and engineering sciences for fuzzy systems. However, theoretical content is neglected occasionally in these developed methods. Even sometimes, propositions and applications are developed by using fuzzy numbers ignoring theoretical contents. In some cases, there are lots of different fuzzy solution propositions of same crisp method. Because of these, despite applying similar methods to same data set, very different results can be obtained. Fuzzy multi criteria decision making method propositions are evaluated by using simulation technique in this study to explore and compare the results of fuzzy applications. Simulation applications are applied to AHP, TOPSIS, VIKOR and MOORA methods which are the most common multi criteria decision making methods as both crisp and fuzzy in the literature. Obtained results are evaluated and interpreted for both selection of the best alternative and ranking of all alternatives. All obtained results of simulation applications show that defuzzified results are significantly different than each other for each multi criteria decision making method and each different defuzzification step.

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“…In this study, the AHP model was used to measure the relative priority of these intangible issues/factors. Some researchers have used the AHP model in two phases: first, to collect information, and then to rank the data using hierarchy comparison matrices [9]. In this study, after collecting the data and establishing the factors affecting tourist attitudes toward social media usage, 40 expert respondents were invited to compare these elements/factors in the hierarchy through comparison matrices.…”

Section: Subject Of Innovation-what Is New In This Study?mentioning

confidence: 99%

What Factors Influence the Sustainable Tour Process in Social Media Usage? Examining a Rural Mountain Region in Pakistan

Hussain

Wang

2018

Sustainability

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This research demonstrated a significant method for measuring tourist behavior in terms of social media use for rural mountain region tourism. This study proposed a quantitative method for establishing tourists' main activities during the travel process when using social media. This study is potentially unique in its application of a predominantly mathematical analysis to measure tourist intentions, which until now have been evaluated mainly on the basis of qualitative analyses. It is now possible to quantitatively measure the activities and ambitions of tourists in rural mountain region tourism. The data was collected from different respondents in the area of Gilgit-Baltistan (GB), Pakistan. The researchers visited different areas in GB and interviewed the tourists who use social media for tourism. The results of study showed that the majority of tourists are more interested in using social media at the planning stage. Thus, this study contributes to the literature in the sense that it provides a mathematical and statistical model to measure tourist intentions in sustainable rural mountain region tourism.

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A fuzzy AHP approach to construct international hotel spa atmosphere evaluation model

Cited by 31 publications

References 36 publications

Do five-star hotel managers know their customers’ priorities? An AHP-Prioritised scorecard study

Do five-star hotel managers know their customers’ priorities? An AHP-Prioritised scorecard study

The Importance of The Place of Defuzzification Step In Fuzzy Systems

What Factors Influence the Sustainable Tour Process in Social Media Usage? Examining a Rural Mountain Region in Pakistan

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