Examining and Prioritizing the Factors Affecting Tourist Absorption for Ecotourism Centers Utilizing MCDM Tools
محورهای موضوعی : AdvertisingSeyyed Mehdi Hosseini 1 , Mohammad Mahdi Paydar 2
1 - Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
2 - Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran
کلید واژه: TOPSIS, Fuzzy DEMATEL, Ecotourism destination, Tourist absorption,
چکیده مقاله :
Nowadays, the main attention and tendencies of tourists are towards ecotourism and its related activities. Ecotourism centers are an active business in the ecotourism industry that provides necessary services for tourists. Today, the number of ecotourism centers in some areas is increasing and it caused an intensively competitive environment between these centers to attract customers. In other words, the big concern of the manager and owners of these centers is knowing the variables which affect the decisions of tourists to choose an ecotourism center. From what we know, no research has been done on this subject. Therefore, these matters encouraged us to do an essential investigation. In this paper, firstly, the factors affecting a tourist's decision to choose an ecotourism center are identified. Three types of customers (tourists) are considered for ecotourism centers and the weight of each of the considered factors is calculated using the fuzzy DEMATEL method based on the opinion of each customer group. Then, the factors are ranked using the TOPSIS method. The outcomes manifest that the personnel of the centers and the brand of each center have the most and the least impact on the selection process by the tourist, respectively.
Almeida, J., COSTA, C. & Da Silva, F. N. 2017. A framework for conflict analysis in spatial planning for tourism. Tourism Management Perspectives, 24, 94-106.
BRODER, H. L., MCGRATH, C. & CISNEROS, G. J. 2007. Questionnaire development: face validity and item impact testing of the Child Oral Health Impact Profile. Community dentistry and oral epidemiology, 35, 8-19.
CHEN, Y.-S. & WU, S.-T. 2021. An exploration of actor-network theory and social affordance for the development of a tourist attraction: A case study of a Jimmy-related theme park, Taiwan. Tourism Management, 82, 104206.
Danylyshyn, B., Olshanska, O., Zabaldina, Y., Mazurets, R., Khlopiak, S. & Pivnova, L. 2021. Designing a Marketing Strategy for the Development of Industrial Tourism in the Region. Journal of Optimization in Industrial Engineering, 14, 19-26.
Frenzel, F. 2017. Tourist agency as valorisation: Making Dharavi into a tourist attraction. Annals of Tourism Research, 66, 159-169.
HAN, H. & HYUN, S. S. 2018. Role of motivations for luxury cruise traveling, satisfaction, and involvement in building traveler loyalty. International Journal of Hospitality Management, 70, 75-84.
Hosseini, S. M. & PAYDAR, M. M. 2021. Discount and advertisement in ecotourism supply chain. Asia Pacific Journal of Tourism Research, 26, 668-684.
HSU, F.-M., LIN, Y.-T. & HO, T.-K. 2012. Design and implementation of an intelligent recommendation system for tourist attractions: The integration of EBM model, Bayesian network and Google Maps. Expert Systems with Applications, 39, 3257-3264.
JENSEN, Ø., LI, Y. & UYSAL, M. 2017. Visitors’ satisfaction at managed tourist attractions in Northern Norway: Do on-site factors matter? Tourism Management, 63, 277-286.
KANG, S., LEE, G., KIM, J. & PARK, D. 2018. Identifying the spatial structure of the tourist attraction system in South Korea using GIS and network analysis: An application of anchor-point theory. Journal of Destination Marketing & Management, 9, 358-370.
KIM, H., STEPCHENKOVA, S. & BABALOU, V. 2018. Branding destination co-creatively: A case study of tourists' involvement in the naming of a local attraction. Tourism management perspectives, 28, 189-200.
KOTRLIK, J. & HIGGINS, C. 2001. Organizational research: Determining appropriate sample size in survey research appropriate sample size in survey research. Information technology, learning, and performance journal, 19, 43.
LI, H., WANG, W., FAN, L., LI, Q. & CHEN, X. 2020. A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR. Applied Soft Computing, 91, 106207.
LIU, B., HUANG, S. S. & FU, H. 2017. An application of network analysis on tourist attractions: The case of Xinjiang, China. Tourism Management, 58, 132-141.
MAHMOUDI, S., JALALI, A., AHMADI, M., ABASI, P. & SALARI, N. 2019. Identifying critical success factors in Heart Failure Self-Care using fuzzy DEMATEL method. Applied Soft Computing, 84, 105729.
MAKUI, A., GHOLAMIAN, M. R. & MOHAMMADI, E. 2016. A hybrid intuitionistic fuzzy multi-criteria group decision making approach for supplier selection. Journal of Optimization in Industrial Engineering, 9, 61-73.
MASOUD, H., MORTAZAVI, M. & FARSANI, N. T. 2019. A study on tourists' tendency towards intangible cultural heritage as an attraction (case study: Isfahan, Iran). City, Culture and Society, 17, 54-60.
MOLINILLO, S. & JAPUTRA, A. 2017. Factors influencing domestic tourist attendance at cultural attractions in Andalusia, Spain. Journal of Destination Marketing & Management, 6, 456-464.
MUSSALAM, G. Q. & TAJEDDINI, K. 2016. Tourism in Switzerland: How perceptions of place attributes for short and long holiday can influence destination choice. Journal of Hospitality and Tourism Management, 26, 18-26.
OCAMPO, L. A., TAN, T. A. G. & SIA, L. A. 2018. Using fuzzy DEMATEL in modeling the causal relationships of the antecedents of organizational citizenship behavior (OCB) in the hospitality industry: A case study in the Philippines. Journal of Hospitality and Tourism Management, 34, 11-29.
PAN, Y., FU, X. & WANG, Y. 2020. How does travel link to life satisfaction for senior tourists? Journal of Hospitality and Tourism Management, 45, 234-244.
PESTANA, M. H., PARREIRA, A. & MOUTINHO, L. 2020. Motivations, emotions and satisfaction: The keys to a tourism destination choice. Journal of Destination Marketing & Management, 16, 100332.
PHELAN, A., RUHANEN, L. & MAIR, J. 2020. Ecosystem services approach for community-based ecotourism: towards an equitable and sustainable blue economy. Journal of Sustainable Tourism, 28, 1665-1685.
PURI, M., KARANTH, K. K. & THAPA, B. 2019. Trends and pathways for ecotourism research in India. Journal of Ecotourism, 18, 122-141.
Rahimi, R. & Kozak, M. 2017. Impact of customer relationship management on customer satisfaction: The case of a budget hotel chain. Journal of Travel & Tourism Marketing, 34, 40-51.
Saeidi, S. P., SOFIAN, S., SAEIDI, P., SAEIDI, S. P. & SAAEIDI, S. A. 2015. How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction. Journal of business research, 68, 341-350.
SANEI, M., NAJAFI, M., POURASGHAR, P. & ABBASI, M. 2021. Evaluation of Sleep Disturbance and Mood Status of Breast Cancer Patients Undergoing Radiotherapy. Indian Journal of Gynecologic Oncology, 19, 1-7.
Santana-Jiménez, Y. & HERNÁNDEZ, J. M. 2011. Estimating the effect of overcrowding on tourist attraction: The case of Canary Islands. Tourism Management, 32, 415-425.
SIJTSMA, K. 2009. On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74, 107.
SOBHANALLAHI, M. A., ZENDEHDEL NOBARI, N. & PASANDIDEH, S. H. R. 2019. An aggregated supplier selection method based on QFD and TOPSIS (case study: A financial institution). Journal of optimization in industrial engineering, 12, 31-40.
TRAVÉSI, C. 2017. The politics of knowledge as a tourist attraction. Annals of Tourism Research, 66, 130-139.
VAHDANI, B., SALIMI, M. & AFSHAR NAJAFI, B. 2016. A Compromise Decision-making Model for Multi-objective Large-scale Programming Problems with a Block Angular Structure under Uncertainty. Journal of Optimization in Industrial Engineering, 9, 91-102.
WANG, X., LI, X. R., ZHEN, F. & ZHANG, J. 2016. How smart is your tourist attraction? Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach. Tourism management, 54, 309-320.
WU, H.-H. & CHANG, S.-Y. 2015. A case study of using DEMATEL method to identify critical factors in green supply chain management. Applied Mathematics and Computation, 256, 394-403.
WU, M.-Y., WALL, G. & ZHOU, L. 2014. A free pricing strategy at a major tourist attraction: The Case of West Lake, China. Journal of Destination Marketing & Management, 3, 96-104.
YANG, Y. 2018. Understanding tourist attraction cooperation: An application of network analysis to the case of Shanghai, China. Journal of destination marketing & management, 8, 396-411.
ZGŁOBICKI, W. & BARAN-ZGŁOBICKA, B. 2013. Geomorphological heritage as a tourist attraction. A case study in Lubelskie Province, SE Poland. Geoheritage, 5, 137-149.
ZHOU, J., XIAHOU, T. & LIU, Y. 2021. Multi-objective optimization-based TOPSIS method for sustainable product design under epistemic uncertainty. Applied Soft Computing, 98, 106850.(www.mcth.ir).