Abstract
Governments in all over the world put great efforts on promoting domestic leisure and tourist activities, which leads to the enhancement of market potential and opportunities. Among all hospitality businesses such as restaurants, clubs, recreational villa, spa and beauty salon, international hotels is generating most percentage of profit in this sector. International hotels not only provide basic equipment and intimate service, but also emphasize on extreme quality of atmosphere sensation for customers. This study utilizes a two-step method with Delphi in the first and fuzzy analytic hierarchy process (AHP) (FAHP) in the second phase. The first phase is to collect information and knowledge to construct an AHP hierarchy to evaluate hotel atmosphere. The second phase incorporates a FAHP method to integrate experts’ knowledge and calculate priorities of criteria. This research provides insights of international hotel atmosphere evaluation and directions for future development of hotel atmospheres for decision makers.
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Amid A., Ghodsypour S.H., O’Brien C.: A weighted max–min model for fuzzy multi-objective supplier selection in a supply chain. Int. J. Prod. Econ. 131(1), 139–145 (2011)
Ayağ, Z., GürcanÖzdemir, R.: Evaluating machine tool alternatives through modified TOPSIS and alpha-cut based fuzzy ANP. Int. J. Prod. Econ. (2012). doi:10.1016/j.ijpe.2012.02.009
Babin B.J., Hardesty D.M., Suter T.A.: Colorand shopping intentions: the intervening effect ofprice fairness and perceived affect. J. Bus. Res. 56, 541–551 (2003)
Babin B.J., Lee Y.-K., Kim E.-J., Griffin M.: Modeling consumer satisfaction and word-of-mouth: restaurant patronage in Korea. J. Serv. Mark. 19(3), 133–139 (2005)
Baker J., Levy M., Grewal D.: An experimental approach to making retail store environmental decisions. J. Retail. 68, 445–460 (1992)
Baraban R.S., Durocher J.F.: Successful Restaurant Design. Wiley, New York (2001)
Borges P.C., Villavicencio A.: Avoiding academic and decorative planning in GHG emissions abatement studies with MCDA: the Peruvian case. Eur. J. Oper. Res. 152(3), 641–654 (2004)
Buckley J.J., Qu Y.: On using alpha-cuts to evaluate fuzzy functions. Fuzzy Sets Syst. 38, 309–312 (1990)
Buckley J.J., Feuring T., Hayashi Y.: Fuzzy hierarchical analysis revisited. Eur. J. Oper. Res. 129(1), 48–64 (2001)
Cakir O., Canbolat M.S.: A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology. Expert Syst. Appl. 35(3), 1367–1378 (2008)
Chan F.T.S., Kumar N.: Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega Oxf. 5(4), 417–431 (2007)
Chang D.Y.: Application of the extent analysis method on fuzzy AHP. Eur. J.Oper. Res. 95(3), 649–655 (1996)
Cho D.W., Lee Y.H., Ahn S.H., Hwang M.K.: A framework for measuring the performance of service supply chain management. Comput. Ind. Eng. 62(3), 801–818 (2012)
Chou, C.-H., Liang, G.-S., Chang, H.-C.: A fuzzy AHP approach based on the concept of possibility extent. Qual. Quant. (2011). doi:10.1007/s11135-011-9473-6
Daniel K.: Dimensions of uniform perceptions among service providers. J. Serv. Mark. 10(2), 42–56 (1996)
Donovan R.J., Rossiter J.R.: Store atmosphere: an environmental psychology approach. J. Retail. 58, 34–57 (1982)
Donovan R.J., Rossiter J.R., Marcoolyn G., Nesdale A.: Store atmosphere and purchasing behavior. J. Retail. 70(3), 283–294 (1994)
Dubois D., Prade H.: Fuzzy Sets and Systems. Academic Press, New York (1988)
Ensslin L., Dutra A., Ensslin S.R.: MCDA: a constructivist approach to the management of human resources at a governmental agency. Int. Trans. Oper. Res. 7(1), 79–100 (2000)
Fenton N., Neil M.: Making decisions: using Bayesian nets and MCDA. Knowl. Based Syst. 14(7), 307–325 (2001)
Forman E.H., Gass S.I.: The analytic hierarchy process—an exposition. Oper. Res. 49(4), 469–486 (2001)
Gardner M.P., Siomkos G.J.: Toward a methodology for assessing effects of in-store atmospherics. Adv. Consum. Res. 13, 27–31 (1986)
Goss-Turner S.: Introduction to Hospitality Operations. Cassell, London (1996)
Guitouni A., Martel J.M.: Tentative guidelines to help choosing an appropriate MCDA method. Eur. J. Oper. Res. 109(2), 501–521 (1998)
Heide M., Gronhaug K.: Key factors in guests’ perception of hotel atmosphere. Cornell. Hosp. Q. 50(1), 29–43 (2008)
Hodgkin J., Belton V., Koulouri A.: Supporting the intelligent MCDA user: a case study in multi-personmulti-criteria decision support. Eur. J. Oper. Res. 160(1), 172–189 (2005)
Kang, H.-Y., Lee, A.H.I., Yang, C.-Y.: A fuzzy ANP model for supplier selection as applied to IC packaging. J. Intell. Manuf. (2010). doi:10.1007/s10845-010-0448-6
Kwong C.K., Bai H.: Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IIE Trans. 35(7), 619–626 (2003)
Lai, C.-S., Lee, H.-L., Pan, Y.-C.: Applying fuzzy multi-criteria decision-making model to ecotour plan selection. Qual. Quant. (2011). doi:10.1007/s11135-011-9589-8
Lawson F.: Hotels, motels and condominiums: design, planning and maintenance. Architectural, London (1976)
Lee A., Lin C.-Y., Wang S.-R., Tu Y.-M.: The construction of a comprehensive model for production strategy evaluation. Fuzzy Optim. Decis. Mak. 9(2), 187–217 (2010)
Mamalis S., Ness M., Bourlakis M.: Tangible and intangible store image attributes in consumer decision making: the case of fast food restaurants. WSEAS Trans. Inf. Sci. Appl. 2, 1705–1714 (2005)
Neves L.P., Dias L.C., Antunes C.H., Martins A.G.: Structuring an MCDA model using SSM: a case studyin energy efficiency. Eur. J. Oper. Res. 199(3), 834–845 (2009)
Saaty T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Saaty T.L.: Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh (1996)
Shao C.Y., Baker J.A., Wagner J.: The effects of appropriateness of service contact personnel dress on customer expectations of service quality and purchase intention: the moderating influences of involvement and gender. J. Bus. Res. 57(10), 1164–1176 (2004)
Sharpley R.: The influence of the accommodation sector on tourism development: lessons from Cyprus. Int. J. Hosp. Manag. 19(3), 275–293 (2000)
Spangenberg E.R., Crowley A.E., Henderson P.W.: Improving the store environment: Do olfactory cues affect evaluations and behaviors?. J. Mark. 60, 67–80 (1996)
Spies K., Hesse F., Loesch K.: Store atmosphere, mood and purchasing behavior. Int. J. Res. Mark. 14(1), 1–17 (1997)
Stuart F.I., Tax S.: Toward an integrative approach to designing service experiences: lessons learned from the theatre. J. Oper. Manag. 22(6), 609–627 (2004)
Tseng M., Lin Y., Chiu A., Liao J.: Using FANP approach on selection of competitive priorities based on cleaner production implementation: a case study in PCB manufacturer, Taiwan. Clean Technol. Environ. Policy 10(1), 17–29 (2008)
Vinodh S., AneshRamiya R., Gautham S.G.: Application of fuzzy analytic network process for supplier selection in a manufacturing organisation. Expert Syst. Appl. 38(1), 272–280 (2011)
Wang X., Chan H.K., Yee R.W.Y., Diaz-Rainey I.: A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain. Int. J. Prod. Econ. 135(2), 595–606 (2012)
Wilson S.: The effect of music on perceived atmosphere and purchase intentions in a restaurant. Psychol. Music 31(1), 93–112 (2003)
Yoo C., Park J., MacInnis D.J.: Effects of store characteristics and in-store emotional experiences on store attitude. J. Bus. Res. 42(3), 253–263 (1998)
Yu M.-C., Goh M., Lin H.-C.: Fuzzy multi-objective vendor seletion under lean procurement. Eur. J. Oper. Res. 219(2), 305–311 (2012)
Zadeh L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning Part I, II and III. Inf. Sci. 8, 199–249, 301–357; 9, 43–80 (1975)
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Chen, YC., Yu, TH., Tsui, PL. et al. A fuzzy AHP approach to construct international hotel spa atmosphere evaluation model. Qual Quant 48, 645–657 (2014). https://doi.org/10.1007/s11135-012-9792-2
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DOI: https://doi.org/10.1007/s11135-012-9792-2