Identifying and Investigating Factors Influencing Tourism in Iran

Document Type : Research Paper

Author

Department of Business Management, Faculty of Management, Islamic Azad University, Kermanshah, Iran

Abstract

Today, the tourism industry has become one of the largest services industry in the world in terms of revenue generation. The expansion of the tourism industry, in addition to its significant impact on the broader economic dimensions, such as job opportunities, income generation, poverty reduction and welfare, has a major role in promoting national identity, social security and social justice. In this research, the present paper seeks to investigate how infrastructure influences on security, economic, socio-cultural, environmental pollution, health services and the mutual effects of these factors on each other. This research is applied in terms of its purpose and emphasizes the combined strategy of a sequential exploration. Accordingly, a quantitative (ISM) method was then applied quantitatively (survey). The statistical population consisted of all travelers and experts in tourism and experts, using stratified random sampling method and within simple random classes. The sample size is calculated using the Morgan table, and thus, a sample of 384 people is considered. The research findings indicate confirmation of research hypotheses. Among them, the infrastructure with a coefficient of 0.94 has the greatest impact on security factors and economic factors with a coefficient of 0.23 have the least effect on environmental pollution

Keywords

References

  1.  

    1. Alipour Eshliki, Sajad & Kaboudi, Mahdi (2011). Community Perception of Tourism Impacts and Their Participation in Tourism Planning: A Case Study of Ramsar, Iran, ASEAN Conference on Environment-Behaviour Studies, Savoy Homann Bidakara Bandung Hotel, Bandung, Indonesia, 15-17June.
    2. Altman, G. & Aleksanyan, G. P.(2016). Sustainability in Tourism: Problems and some Basic Directions of Sustainable Tourism Management, Geography, No.2, PP: 59–67.
    3. Beck., J, 2002 A. Meta- Synthesis of the Qualitative Research American Juornal. of Maternal/ child Nursing p:93.
    4. Dwyer, L.(2016). Planning for Sustainable Tourism: An Alternative Paradigm, International Journal of Tourism and Spirituality, 1(1): 28-43.
    5. García-Melón, Mónica & Gómez-Navarro, Tomás & Acuña-Dutra, Silvia (2012). A combined ANP-delphi approach to evaluate sustainable tourism, Environmental Impact Assessment Review 34 (2012), pp 41–50.
    6. Hudson, S., Huang, L., Roth, M. S., & Madden, T. J.(2016). The influence of social media interactions on consumer–brand relationships: A three-country study of brand perceptions and marketing behaviors, International Journal of Research in Marketing, 33(1): 27-41
    7. Kachniewska , M.A.(2015). Tourism development as a determinant of quality of life in rural areas, Worldwide Hospitality and Tourism Themes, 7(5): 500-515.
    8. Liu, Chui-Hua & Tzeng, Gwo-Hshiung & Lee, Ming-Huei & Lee, Po-Yen (2013). Improving metro–airport connection service for tourism development: Using hybrid MCDM models, Tourism Management Perspectives 6 (2013), pp 95–107.
    9. Mathiyazhagan, K., Govindan, K., NoorulHaq, A. and Geng, Y. (2013). An ISM approach for the barrier analysis in implementing green supply chain management, Journal of Cleaner Production, 47(0): 283-297.
    10. Muduli, K., Govindan, K., Barve, A., Kannan, D. and Geng, Y. (2013). Role of behavioural factorsin green supply chain management implementation in Indian mining industries. Resources, Conservation and Recycling, 76(0): 50-60.
    11. Ravi, V. and Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics, Technological Forecasting and Social Change, 72(8): 1011-1029.
    12. Richards, G. (2013). Creativity and tourism in the city, Current Issues in Tourism,17(2)
    13. Sharpley, R.(2009). Tourism Development and the Environment: Beyond Sustainability? London: Earthscan
    14. Wang, G., Wang, Y. and Zhao, T. (2008). Analysis of interactions among the barriers to energy saving in China, Energy Policy, 36(6): 1879- 1889.
    15. Warfield, J.W. (1974). Developing interconnected matrices in structural modelling, IEEE transcript on systems, Men and Cybernetics, 4(1): 51-81.
    16. Watson, R. (1978).Interpretive structural modeling—A useful tool for technology, Technological Forecasting and Social Change, 11(2): 165-185.
    17. Yang, Yang & Fik, Timothy (2014). Spatial effects in regional tourism growth, Annals of Tourism Research 46 (2014), pp 144–162.
Journal of Tourism Planning and Development
Volume 8, Issue 30
January 2020
Pages 195-212

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