Effective Factors of Smart Economy in Tourism Industry by Using the Best-Worst Multi-Criteria Decision Method | ||
| مطالعات مدیریت کسب و کار هوشمند | ||
| Volume 11, Issue 42, December 2023, Pages 103-132 PDF (1.2 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.22054/ims.2023.15516 | ||
| Authors | ||
| Davood Darvishi Selokolayi* 1; Samira Heydari Gorji2; Sahar Valipour Parkohi3 | ||
| 1Assistant professor, Applied Mathematics Department, Payame Noor University, Tehran, Iran Corresponding Author: D_darvishi@pnu.ac.ir | ||
| 2Master of Economics, Paya me Noor University, Tehran, Iran | ||
| 3Ph.D. Student of Industrial Management, Faculty of Economics and Administrative Sciences, University of Mazandaran, Balbosar, Iran | ||
| Abstract | ||
| The industrial revolution has affected the economy and various industries. Technology is the main factor of the fourth industrial revolution, which has a significant impact on tourism. The development of information technology and intelligence has led to the transformation of the tourism industry and creates a lot of competition and makes many developers of the tourism sector to engage in real innovations to attract tourists. Therefore, to investigate the smart economy in tourism, this study tries to evaluate the indicators of the smart tourism economy in Iran by using a model based on the best-worst multi-criteria decision-making method. For this purpose, first, by studying the research literature and the opinions of experts in the field of tourism, the effective dimensions and indicators of the smart economy in the tourism industry have been determined. According to experts, the best-worst method, increasing attractions and activities is the most important criterion in the economy of smart tourism. In addition, creating new markets for selling domestic products and using information technology are placed in the second and third priorities, respectively. The results of this research show that managers of the tourism industry should focus on increasing attractions, introducing services related to tourism information through smart tools, using online markets or e-commerce and making more use of the information technology platform. | ||
| Keywords | ||
| Intelligence; Smart Tourism; Smart Economy; Best-Worst Approach | ||
| References | ||
|
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مولایی، فهیمه.، کرک آبادی، زینب.، کامیابی، سعید. (1398)، نیازسنجی ایجاد دهکده گردشگری هوشمند در بندر انزلی، مجله گردشگری شهری، جلد. 7، شماره 4.
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مولایی، فهیمه.، کرک آبادی، زینب.، کامیابی، سعید. (1398)، نیازسنجی ایجاد دهکده گردشگری هوشمند در بندر انزلی، مجله گردشگری شهری، جلد. 7، شماره 4.
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Matos, A., Pinto, B., Barros, F., Martins, S., Martins, J., & Au YongOliveira, M. (2019). Smart Cities and Smart Tourism: What Future Do They Bring? Proceedings of World Conference on Information Systems and Technologies, Pp. 358-370.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method: Some properties and a linear model, Omega, Volume 64, October 2016, Pages126-130. https://doi.org/10.1016/j.omega.2015.12.001.
Ronay, E. and Egger, R. (2013). "NFC Smart City: Cities of the Future- a Scenario Technique Application. Information and Communication Technologies in Tourism 2014", Springer, 565-577.
doi: 10.1007/978-3-319-03973-2_41
Sajid Khan, M. Mina, W. Kichan, N. and Parakash, K. (2017), "Smart city and smart tourism: acase of Dubai". Sustainability Journal, www. Mdpi. com/journal/sustainability. 9 (12), 2279. https://doi.org/10.1016/j.annals.2017.07.001.
Salem, F. A. (2016). "Smart City for Public Value: Digital Transformation through Agil Govermance- The Case of Smart Dubai": World Government Summit Publications, Available at SSRN: https://ssrn.com/abstract=2733632.
Sehleanu, M. (2019)., Analysis of foreign participation in the share capital of companies from the counties of North-West region of Romania. Orad. J. Bus. Econ. 4, 7–16. ISSN 2501-1596.
Seung Ko, Tae., Byeong-Joo Kim., Jeong-Woo Jwa., (2022)., Smart Tourism Information System and IoT Data Collection Devices for Location-based Tourism and Tourist Safety Services., International Journal of Advanced Culture Technology Vol. 10 No. 1 310-406. https://doi.org/10.17703/IJACT.2022.10.1.310.
Shaturaev, Jakhongir., (2022)., Economies and Management as A Result of The Fourth Industrial Revolution: An Education Perspective., Indonesian Journal of Educational Research and Technology 3 (1) (2022) 51-58. doi: https://doi.org/10.17509/ijert.v3i1.45652.
Smirnov, A. Kashevnik, A. Balandin, S. I. and Laizane, S. (2013). "Intelligent mobile tourist guide context-based approach and implementation". Springer-Verly Berlin Heidelberg. LNCS, 8121, 94–106. doi: 10.1007/978-3-642-40316-3_9
Sparks, J. T. and Besty H. M. (2015). "Factors influencing business intelligence system use in decision making and organizational performance", International Journal of Sustainable Strategic Management., 5 (1), 31-54.
Tribe, J. and Mkono, M. (2017). "Not such smarttourism? The concept of e-lienation", Annals of Tourism Research 66, 105-115. https://doi.org/10.1016/j.annals.2017.07.001.
Vinod Kumar, T. M. (2014) Towards Smart Cities in India, In: Vinod Komar, TM (ed) Geographic Information System for Smart Cities, Copal Publishing Group, New Delhi, 325-392. ISBN: 9788-1924-733-52.
Vinod Kumar, T. M. and Bharat. D. (2017). « Smart Economy in Smart Cities". Springer, 3-76. doi: 10.1007/978-981-10-1610-3_1.
Wang, D. Xiang, R. and Yunpeng, L. (2013). "Chinas smart tourism destination initiative: A taste of the service-dominant Logic". Journal of Destination marketing and management, 2 (2), 59-61. https://doi.org/10.1016/j.jdmm.2013.05.004
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