Share:


A pre-planning for hotel locating according to the sustainability perspective based on BWM-WASPAS approach

    Sarfaraz Hashemkhani Zolfani Affiliation
    ; Sepideh Mosharafiandehkordi Affiliation
    ; Vladislavas Kutut Affiliation

Abstract

Finding an appropriate location from any kind of perspectives is a really vital issue for businesses. Searching for the best location to meet a business perspective which can be also a sustainable one would be really challenging and it needs pre-planning. Locating for business issues in tourism industry for instance hotel locating is one of the major complicated topics in this area. Locating can come along with pre-planning and kind of feasibility studies which can cover all necessities of current and future needs of an issue. Locating with sustainability point of view is one the newest approach in different studies which this research is also working on that based on a hybrid Multiple Attribute Decision Making (MADM) model. MADM methods are really suitable ways in making complicated decisions in different areas. A hybrid MADM model based on BWM-WASPAS is applied for locating problem in finding the best location for the hotel locating challenge. To meet the aim of this research, a case study for evaluating probable locations of a five star hotel examined for the Shahrekord city, Iran. As locations were prioritized based on sustainability perspective, business goals can also be seen as a pre-planning project.

Keyword : Multiple Attribute Decision Making (MADM), hotel locating, pre-planning, sustainability perspective, Best Worst Method (BWM), Weighted Aggregated Sum Product Assessment (WASPAS)

How to Cite
Hashemkhani Zolfani, S., Mosharafiandehkordi, S., & Kutut, V. (2019). A pre-planning for hotel locating according to the sustainability perspective based on BWM-WASPAS approach. International Journal of Strategic Property Management, 23(6), 405-419. https://doi.org/10.3846/ijspm.2019.10844
Published in Issue
Sep 30, 2019
Abstract Views
2125
PDF Downloads
971
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Adam, I., & Amuquandoh, F. E. (2013). Dimensions of hotel location in the Kumasi Metropolis, Ghana. Tourism Management Perspectives, 8, 1-8. https://doi.org/10.1016/j.tmp.2013.05.003

Aksoy, S., & Yetkin Ozbuk, M. (2017). Multiple criteria decision making in hotel location: does it relate to postpurchase consumer evaluations? Tourism Management Perspectives, 22, 73-81. https://doi.org/10.1016/j.tmp.2017.02.001

Amjad Alam, K., Ahmed, R., Shafique Butt, F., Kim, S. G., & Ko, K. M. (2018). An uncertainty-aware integrated fuzzy AHP-WASPAS model to evaluate public cloud computing services. Procedia Computer Science, 130, 504-509. https://doi.org/10.1016/j.procs.2018.04.068

Amoozad Mahdiraji, H., Arzaghi, S., Stauskis, G., & Zavadskas, E. K. (2018). A hybrid fuzzy BWM-COPRAS method for analyzing key factors of sustainable architecture. Sustainability, 10(5), 1626. https://doi.org/10.3390/su10051626

Azouz, M., & Galal, A. (2016). Sustainable site assessment: a way to sustainable hospitality in Egypt. Procedia Environmental Sciences, 34, 360-374. https://doi.org/10.1016/j.proenv.2016.04.032

Badri Ahmadi, H., Kusi-Sarpong, S., & Rezaei, J. (2017). Assessing the social sustainability of supply chains using Best Worst Method. Resources, Conservation and Recycling, 126, 99-106. https://doi.org/10.1016/j.resconrec.2017.07.020

Bagocius, V., Zavadskas, E. K., & Turskis, Z. (2014). Selecting a location for a liquefied natural gas terminal in the Eastern Baltic Sea. Transport, 29(1), 69-74. https://doi.org/10.3846/16484142.2014.897996

Balezentis, T., & Streimikiene, D. (2018). Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation. Applied Energy, 185(Part 1), 862-871. https://doi.org/10.1016/j.apenergy.2016.10.085

Bausys, R., & Juodagalviene, B. (2017). Garage location selection for residential house by WASPAS-SVNS method. Journal of Civil Engineering and Management, 23(3), 421-429. https://doi.org/10.3846/13923730.2016.1268645

Bielinskas, V., Burinskienė, M., & Palevičius, V. (2015). Assessment of neglected areas in Vilnius city using MCDM and COPRAS methods. Procedia Engineering, 122, 29-38. https://doi.org/10.1016/j.proeng.2015.10.004

Bonenberg, W., & Kaplinski, O. (2018). The architect and the paradigms of sustainable development: a review of dilemmas. Sustainability, 10(1), 100. https://doi.org/10.3390/su10010100

Chan, E. S. W., & Wong, S. C. K. (2006). Hotel selection: when price is not the issue. Journal of Vacation Marketing, 12(2), 142-159. https://doi.org/10.1177/1356766706062154

Cheng, E. W. L., Li, H., & Yu, L. (2005). The Analytic Network Process (ANP) approach to location selection: a shopping mall illustration. Construction Innovation, 5(2), 83-97. https://doi.org/10.1108/14714170510815195

Chitsaz, N., & Azarivand, A. (2016). Water scarcity management in arid regions based on an extended multiple criteria technique. Water Resources Management, 31(1), 233-250. https://doi.org/10.1007/s11269-016-1521-5

Chou, T. Y., Hsu, C. L., & Chen, M. C. (2008). A fuzzy multi-criteria decision model for international tourist hotels location selection. International Journal of Hospitality Management, 27(2), 293-301. https://doi.org/10.1016/j.ijhm.2007.07.029

Chu, R. K. S., & Choi, T. (2000). An importance-performance analysis of hotel selection factors in the Hong Kong hotel industry: a comparison of business and leisure travellers. Tourism Management, 21(4), 363-377. https://doi.org/10.1016/S0261-5177(99)00070-9

Devici, M., Canitez, F., & Gokasar, I. (2018). WASPAS and TOPSIS based interval type-2 fuzzy MCDM method for a selection of a car sharing station. Sustainable Cities and Society, 41, 777-791. https://doi.org/10.1016/j.scs.2018.05.034

Dweiri, F., Ahmed Khan, S., & Almulla, A. (2018). A multi-criteria decision support system to rank sustainable desalination plant location criteria. Desalination, 444, 26-34. https://doi.org/10.1016/j.desal.2018.07.007

Ekinci, Y., Prokopaki, P., & Cobanoglu, C. (2003). Service quality in Cretan accommodations: marketing strategies for the UK holiday market. International Journal of Hospitality Management, 22(1), 47-66. https://doi.org/10.1016/S0278-4319(02)00072-5

Elzarka, H. M., Yan, H., & Chakraborty, D. (2017). A vague set fuzzy multi-attribute group decision-making model for selecting onsite renewable energy technologies for institutional owners of constructed facilities. Sustainable Cities and Society, 35, 430-439. https://doi.org/10.1016/j.scs.2017.08.025

Erol, I., Sencer, S., Ozmen, A., & Searly, C. (2014). Fuzzy MCDM framework for locating a nuclear power plant in Turkey. Energy Policy, 67, 186-197. https://doi.org/10.1016/j.enpol.2013.11.056

Esmaelian, M., Tavana, M., Santos Arteaga, F. J., & Mohammadi, S. (2015). A multicriteria spatial decision support system for solving emergency service station location problems. International Journal of Geographical Information Science, 29(7), 1187-1213. https://doi.org/10.1080/13658816.2015.1025790

Fetanat, A., & Khorasaninejad, E. (2015). A novel hybrid MCDM approach for offshore wind farm site selection: a case study of Iran. Ocean & Coastal Management, 109, 17-28. https://doi.org/10.1016/j.ocecoaman.2015.02.005

Gigović, L., Pamučar, D., Božanić, D., & Ljubojević, S. (2017). Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: a case study of Vojvodina, Serbia. Renewable Energy, 103, 501-521. https://doi.org/10.1016/j.renene.2016.11.057

Ginevičius, R. (2011). A new determining method for the criteria weights in multi-criteria evaluation. International Journal of Information Technology & Decision Making, 10(6), 1067-1095. https://doi.org/10.1142/S0219622011004713

Godinho, P., Phillips, P., & Moutinho, L. (2018). Hotel location when competitors may react: a game-theoretic gravitational model. Tourism Management, 69, 384-396. https://doi.org/10.1016/j.tourman.2018.06.014

Gupta, H., & Barua, M. K. (2016). Identifying enablers of technological innovation for Indian MSMEs using best-worst multi criteria decision making method. Technological Forecasting and Social Change, 107, 69-79. https://doi.org/10.1016/j.techfore.2016.03.028

Hanai, T., Oguchi, T., Ando, K., & Yamaguchi, K. (2008). Important attributes of lodgings to gain repeat business: a comparison between individual travels and group travels. International Journal of Hospitality Management, 27(2), 268-275. https://doi.org/10.1016/j.ijhm.2007.08.006

Haghnazar Kouchaksaraei, R., Hashemkhani Zolfani, S., & Golabchi, M. (2015). Glasshouse locating based on SWARACOPRAS approach. International Journal of Strategic Property Management, 19(2), 111-122. https://doi.org/10.3846/1648715X.2015.1004565

Hashemkhani Zolfani, S., Aghdaie, M. H., Derakhti, A., Zavadskas, E. K., & Morshed Varzandeh, M. H. (2013). Decision making on business issues with foresight perspective; an application of new hybrid MCDM model in shopping mall locating. Expert Systems with Applications, 40(17), 7111-7121. https://doi.org/10.1016/j.eswa.2013.06.040

Hashemkhani Zolfani, S., & Chatterjee, P. (2019). Comparative evaluation of sustainable design based on Step-Wise Weight Assessment Ratio Analysis (SWARA) and Best Worst Method (BWM) methods: a perspective on household furnishing materials. Symmetry, 11(1), 74. https://doi.org/10.3390/sym11010074

Hashemkhani Zolfani, S., & Safaei Ghadikolaei, A. (2012). Application of MCDM methods in short-term planning for private universities based on balanced scorecard: a case study from Iran. International Journal of Productivity and Quality Management, 10(2), 250-266. https://doi.org/10.1504/IJPQM.2012.048299

Hashemkhani Zolfani, S., & Saparauskas, J. (2013). New application of SWARA method in prioritizing sustainability assessment indicators of energy system. Inzinerine EkonomikaEngineering Economics, 24(5), 408-414. https://doi.org/10.5755/j01.ee.24.5.4526

Hashemkhani Zolfani, S., Sedaghat, M., Maknoon, R., & Zavadskas, E. K. (2015). Sustainable tourism: a comprehensive literature review on frameworks and applications. Economic Research-Ekonomska Istraživanja, 28(1), 1-30. https://doi.org/10.1080/1331677X.2014.995895

Hashemkhani Zolfani, S., Maknoon, R., & Zavadskas, E. K. (2016). An introduction to prospective multiple attribute decision making (PMADM). Technological and Economic Development of Economy, 22(2), 309-326. https://doi.org/10.3846/20294913.2016.1150363

Hashemkhani Zolfani, S., Pourhossein, M., Yazdani, M., & Zavadskas, E. K. (2018a). Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alexandria Engineering Journal, 57(1), 121-130. https://doi.org/10.1016/j.aej.2016.11.002

Hashemkhani Zolfani, S., Yazdani, M., & Zavadskas, E. K. (2018b). An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Computing, 22(22), 7399-7405. https://doi.org/10.1007/s00500-018-3092-2

Hashemkhani Zolfani, S., Zavadskas, E. K., Khazaelpour, P., & Cavallaro, F. (2018c). The multi-aspect criterion in the PMADM outline and its possible application to sustainability assessment. Sustainability, 10(12), 4451. https://doi.org/10.3390/su10124451

Hsieh, L. F., Lin, L. H., & Lin, Y. Y. (2008). A service quality measurement architecture for hot spring hotels in Taiwan. Tourism Management, 29(3), 429-438. https://doi.org/10.1016/j.tourman.2007.05.009

Kabak, M., Erbas, M., Cetinkaya, C., & Ozceylan, E. (2018). A GIS-based MCDM approach for the evaluation of bike-share stations. Journal of Cleaner Production, 201, 49-60. https://doi.org/10.1016/j.jclepro.2018.08.033

Karabašević, D., Stanujkić, D., Urošević, S., & Maksimović, M. (2016). An approach to personnel selection based on SWARA and WASPAS methods. Journal of Economics, Management and Informatics, 7(1), 1-11. https://doi.org/10.5937/bizinfo1601001K

Keršulienė, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new stepwise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258. https://doi.org/10.3846/jbem.2010.12

Khodadadi, M. R., Hashemkhani Zolfani, S., Yazdani, M., & Zavadskas, E. K. (2017). A hybrid MADM analysis in evaluating process of chemical wastewater purification regarding to advance oxidation processes. Journal of Environmental Engineering and Landscape Management, 25(3), 277-288. https://doi.org/10.3846/16486897.2017.1281140

Komchornrit, K. (2017). The selection of dry port location by a hybrid CFA-MACBETH-PROMETHEE method: a case study of Southern Thailand. The Asian Journal of Shipping and Logistics, 33(3), 141-153. https://doi.org/10.1016/j.ajsl.2017.09.004

Lado-Sestayo, R., Vivel-Búa, M., & Otero-González, L. (2016). Survival in the lodging sector: an analysis at the firm and location levels. International Journal of Hospitality Management, 59, 19-30. https://doi.org/10.1016/j.ijhm.2016.08.005

Lee, K. W., Kim, H. B., Kim, H. S., & Lee, D. S. (2010). The determinants of factors in FIT guests’ perception of hotel location. Journal of Hospitality and Tourism Management, 17(1), 167-174. https://doi.org/10.1375/jhtm.17.1.167

Lowe, L. S., & Kruger, A. (1991). Motel advertising: practices and themes. International Journal of Contemporary Hospitality Management, 3(1), 17-21. https://doi.org/10.1108/09596119110001449

Luo, H., & Yang, Y. (2016). Intra-metropolitan location choice of star-rated and non-rated budget hotels: the role of agglomeration economies. International Journal of Hospitality Management, 59, 72-83. https://doi.org/10.1016/j.ijhm.2016.09.007

Manupati, V. K., Ramkumar, M., & Samanta, D. (2018). A multicriteria decision making approach for the urban renewal in Southern India. Sustainable Cities and Society, 42, 471-481. https://doi.org/10.1016/j.scs.2018.08.011

Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Mat Saman, M. Z., & Ibrahim, O. (2017). A systematic review and meta-analysis of SWARA and WASPAS methods: theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265-292. https://doi.org/10.1016/j.asoc.2017.03.045

Marques, S. C. R., Ferreira, F. A. F., Meidutė-Kavaliauskienė, I., & Banaitis, A. (2018). Classifying urban residential areas based on their exposure to crime: a constructivist approach. Sustainable Cities and Society, 39, 418-429. https://doi.org/10.1016/j.scs.2018.03.005

Medlik, S. (1993). Market feasibility approach to hotel location. Tourism Review, 21(4), 141-148. https://doi.org/10.1108/eb057558

Nawaz, F., Rajabi Asadabadi, M., Khalid Janjua, N., Khadeer Hussain, O., Chang, E., & Saberi, M. (2018). An MCDM method for cloud service selection using a Markov chain and the best-worst method. Knowledge-Based Systems, 159, 120-131. https://doi.org/10.1016/j.knosys.2018.06.010

Niñerola, A., Sánchez-Rebull, M. V., & Hernández-Lara, A. B. (2019). Tourism research on sustainability: a bibliometric analysis. Sustainability, 11(5), 1377. https://doi.org/10.3390/su11051377

Omrani, H., Alizadeh, A., & Amini, M. (2019). A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: an application for provinces of Iran. Socio-Economic Planning Sciences (in press). https://doi.org/10.1016/j.seps.2019.02.004

Oppermann, M., & Brewer, K. P. (1996). Location decision making in hospitality using GIS − a paradigm shift? In Proceedings from the Australian Tourism and Hospitality Research Conference (p. 272). Canberra, Australia.

Ozdemir, S., & Sahin, G. (2018). Multi-criteria decision-making in the location selection for a solar PV power plant using AHP. Measurement, 129, 218-226. https://doi.org/10.1016/j.measurement.2018.07.020

Pamucar, D., Chatterjee, K., & Zavadskas, E. K. (2019). Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbers. Computers & Industrial Engineering, 127, 383-407. https://doi.org/10.1016/j.cie.2018.10.023

Popovic, G., Stanujkic, D., Brzakovic, M., & Karabasevic, D. (2019). A multiple-criteria decision-making model for the selection of a hotel location. Land Use Policy, 84, 49-58. https://doi.org/10.1016/j.landusepol.2019.03.001

Ray, A., De, A., & Dan, P. K. (2015). Facility location selection using complete and partial ranking MCDM methods. International Journal of Industrial and Systems Engineering, 19(2), 262-276. https://doi.org/10.1504/IJISE.2015.067251

Ren, J., Liang, H., & Chan, F. T. S. (2017). Urban sewage sludge, sustainability, and transition for Eco-City: multi-criteria sustainability assessment of technologies based on best-worst method. Technological Forecasting & Social Change, 116, 2939. https://doi.org/10.1016/j.techfore.2016.10.070

Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57. https://doi.org/10.1016/j.omega.2014.11.009

Rezaei, J., Wang, J., & Tavasszy, L. A. (2015). Linking Supplier development to supplier segmentation using Best Worst Method. Expert Systems with Applications, 42, 9152-9164. https://doi.org/10.1016/j.eswa.2015.07.073

Rezaei, J. (2016). Best-worst multi-criteria decision-making method: some properties and a linear model. Omega, 62, 126-130. https://doi.org/10.1016/j.omega.2015.12.001

Rezaei, J., Hemmes, A., & Tavasszy, L. A. (2017). Multi-criteria decision-making for complex bundling configurations in surface transportation of air freight. Journal of Air Transport Management, 61, 95-105. https://doi.org/10.1016/j.jairtraman.2016.02.006

Rezaei, J., van Roekel, W. S., & Tavasszy, L. A. (2018). Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transport Policy, 68, 158-169. https://doi.org/10.1016/j.tranpol.2018.05.007

Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill. https://doi.org/10.21236/ADA214804

Saaty, T. L. (1996). Decision making with dependence and feedback: the analytic network process. Pittsburgh: RWS Publications.

Salimi, N., & Rezaei, J. (2016). Measuring efficiency of university-industry Ph.D. projects using best worst method. Scientometrics, 109(3), 1911-1938. https://doi.org/10.1007/s11192-016-2121-0

Salimi, N., & Rezaei, J. (2018). Evaluating firms’ R&D performance using best worst method. Evaluation and Program Planning, 66, 147-155. https://doi.org/10.1016/j.evalprogplan.2017.10.002

Sennaroglu, B., & Celebi, G. V. (2018). A military airport location selection by AHP integrated PROMETHEE and VIKOR methods. Transportation Research Part D: Transport and Environment, 59, 160-173. https://doi.org/10.1016/j.trd.2017.12.022

Shoval, N., McKercher, B., Ng, E., & Birenboim, A. (2011). Hotel location and tourist activity in cities. Annals of Tourism Research, 38(4), 1594-1612. https://doi.org/10.1016/j.annals.2011.02.007

Si, J., & Marjanovic-Halburd, L. (2018). Criteria weighting for green technology selection as part of retrofit decision making process for existing non-domestic buildings. Sustainable Cities and Society, 41, 625-638. https://doi.org/10.1016/j.scs.2018.05.051

Stojic, G., Stevic, Z., Antucheviciene, J., Pamucar, D., & Vasiljevic, M. (2018). A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry products. Information, 9(121), 1-16. https://doi.org/10.3390/info9050121

Tadic, S., Zecevic, S., & Krstic, M. (2014). A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection. Expert Systems with Applications, 41(18), 8112-8128. https://doi.org/10.1016/j.eswa.2014.07.021

Tavana, M., Santos Arteaga, F. J., Mohammadi, S., & Alimohammadi, M. (2017). A fuzzy multi-criteria spatial decision support system for solar farm location planning. Energy Strategy Reviews, 18, 93-105. https://doi.org/10.1016/j.esr.2017.09.003

Van de Kaa, G., Janssen, M., & Rezaei, J. (2018). Standards battles for business-to-government data exchange: identifying success factors for standard dominance using the Best Worst Method. Technological Forecasting and Social Change, 137, 182-189. https://doi.org/10.1016/j.techfore.2018.07.041

Vafaeipour, M., Hashemkhani Zolfani, S., Morshed Varzandeh, M. H., Derakhti, A., & Keshavarz Eshkalag, M. (2014). Assessment of regions priority for implementation of solar projects in Iran: new application of a hybrid multi-criteria decision making approach. Energy Conversion and Management, 86, 653-663. https://doi.org/10.1016/j.enconman.2014.05.083

Xiaomei, M., Ming, T., Huchang, L., Wenjing, S., & Lev, B. (2019). The state-of-the-art survey on integrations and applications of the best worst method in decision making: why, what, what for and what’s next? Omega, 87, 205-225. https://doi.org/10.1016/j.omega.2019.01.009

Yadav, G., Mangla, S. K., Luthra, S., & Jakhar, S. (2018). Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study. International Journal of Production Research, 56(18), 6259-6278. https://doi.org/10.1080/00207543.2018.1472406

Yadav, G., Mangla, S. K., Luthra, S., & Rai, D. P. (2019). Developing a sustainable smart city framework for developing economies: an Indian context. Sustainable Cities and Societies, 47, 101462. https://doi.org/10.1016/j.scs.2019.101462

Yang, Y., Wong, K. K. F., & Wang, T. (2012). How do hotels choose their location? Evidence from hotels in Beijing. International Journal of Hospitality Management, 31, 675-685. https://doi.org/10.1016/j.ijhm.2011.09.003

Yang, Y., Luo, H., & Law, R. (2014). Theoretical, empirical, and operational models in hotel location research. International Journal of Hospitality Management, 36, 209-220. https://doi.org/10.1016/j.ijhm.2013.09.004

Yazdani, M., Zavadskas, E. K., Ignatius, J., & Doval Abad, M. (2016). Sensitivity analysis in MADM methods: application of material selection. Inzinerine Ekonomika-Engineering Economics, 27(4), 382-391. https://doi.org/10.5755/j01.ee.27.4.14005

Yildiz, N., & Tuysuz, F. (2018). A hybrid multi-criteria decision making approach for strategic retail location investment: application to Turkish food retailing. Socio-Economic Planning Sciences (in press). https://doi.org/10.1016/j.seps.2018.02.006

Zak, J., & Weglinski, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555-564. https://doi.org/10.1016/j.trpro.2014.10.034

Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Electronics and Electrical Engineering, 122(6), 3-6. https://doi.org/10.5755/j01.eee.122.6.1810

Zavadskas, E. K., Kalibatas, D., & Kalibatiene, D. (2016). A multiattribute assessment using WASPAS for choosing an optimal indoor environment. Archives of Civil and Mechanical Engineering, 16(1), 76-85. https://doi.org/10.1016/j.acme.2015.10.002