Analysis of e-tourism development (Case study: Tabriz city)

Authors

• zahra rasoulzade ¹
• Abolfazl meshkini ²
• musa vaezi ³

¹ Ph.D. in Geography and Planning, University of Zanjan, Zanjan, Iran

² Associate Professor, Department of Geography and Planning, Tarbiat Modares University, Tehran, Iran.

³ Ph.D. in Urban Planning, University of Tabriz, Tabriz, Iran.

10.30495/jzpm.2022.5417

Abstract

Information and communication technology is effective in the tourism system by creating an information environment for each tourism institution and creating an information structure in which the whole system can work well. The purpose of this study is to identify the factors affecting the development of e-tourism and the causal relationships between them. The present study is applied in terms of purpose and descriptive in terms of method. The data collection tool is library and documentary sources and a questionnaire. Using the fuzzy Delphi method, the most important effective factors have been identified and the relationships between the factors have been investigated using the path analysis model in Smart Pls. Reliability and validity are combined with combined reliability and validity, the value of which for all variables above 0.7 and 0.5, respectively, indicates the desired validity and reliability. The results of the path analysis model show that of the 4 variables agreed upon by Delphi panel members, hardware-software, socio-cultural and managerial-economic variables with 36 variables that constitute the components of the model, have a positive and significant effect on They have e-tourism. According to the research results, independent research variables; Hardware, software, management, economic, social and cultural with path fines of 0.81, 0.54, 0.33 and 0.32 at the significant level of p <0.05, respectively, had a positive and significant effect on the research dependent variable Among the studied indicators, the most impact with a coefficient of 0.81 is related to the hardware variable, followed by software, management, economic, social and cultural variables, respectively.

Keywords

• Tourism
• E-tourism
• Factor Analysis
• Path Analysis
• Tabriz Metropolitan

20.1001.1.22516735.1401.12.48.13.7

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References

• Ahani, A., Nilashi, M., Ibrahim, O., Sanzogni, L., & Weaven, S. (2019). Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews. International Journal of Hospitality Management, 80, 52-77.
• Alexandru، (2006).، ICT and Its Impact upon the Globalization and Accessibility of the Education in the Health Domain، online in: www.ici.ro
• Assaf, A. G., & Tsionas, M. (2018). The estimation and decomposition of tourism productivity. Tourism Management, 65, 131-142.
• Ayuningtyas, D., & Ariwibowo, D. A. (2020). The strategic role of information communication technology in succeeding medical tourism. Enfermería Clínica, 30, 170-173.
• Benhabib, J., & Spiegel, M. M. (2005). Human capital and technology diffusion. Handbook of economic growth, 1, 935-966.
• Bethapudi, A. (2015). Role of ICT in promoting a rural tourism product. Journal of Tourism and Hospitality, 4(3).
• Buhalis, D. (2019). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review.
• Buhalis, D., Leung, D., & Law, R. (2011). Etourism: critical information and communication technologies for tourism destinations, Destination marketing and management. Theories and applications, 2011, 205-224
• Büyüközkan, G., & Ergün, B. (2011). Intelligent system applications in electronic tourism. Expert systems with applications, 38(6), 6586-6598.
• Cheng, J. H., Lee, C. M. & Tang, C.H. (2009). An Application of Fuzzy Delphi and Fuzzy AHP on Evaluating Wafer Supplier in Semiconductor Industry. WSEAS Transactions on Information Science and Applications, 6 (5), 756-767.
• de Souza, J., Mendes-Filho, L., & Buhalis, D. (2020). Evaluating the effectiveness of tourist advertising to improve the competitiveness of destinations. Tourism Economics, 26(6), 1001-1020.
• Dehdashti, Sh, an; d Ghadir, Z; Jamalabad, Sh. (2013). Structural Model for Identifying Effective Strategic Components on Electronic Tourism Institutionalization, Quarterly Journal of Tourism Management Studies, Year 8, No. 22, pp. 163-190. [In Persian]
• Fakoor Saghieh, A.M, Hajomandi, N. (2020), Presenting a Conceptual Model of Electronic Tourism Development in Iran Using Fuzzy Dimtel, Quarterly Journal of Tourism and Development, Tenth Year, No. 2, pp. 15-31. [In Persian]
• Fallah Tafti, H; Asadi, M; Mehrjerdi, H. (2015). .Designing an Infrastructure-Based Model in the Development of Electronic Tourism Using Structural Equation Modeling Approach (Case Study: Yazd Province), Journal of Tourism Planning and Development, Year 7, Issue 25, Pp. 117-135 [in Persian].
• Firoozi, M. A, Zadvali-khajeh, Sh. (2017), SOAR Strategic Model A Step Towards Strategic Planning for Urban Tourism Development (Case Study: Tabriz Metropolis), Regional Planning Quarterly, Volume 7, Number 25, pp. 29-40. [In Persian]
• Ghonoodi, A; Salimi, L. (2011). the study and comparison of curriculum in smart and traditional schools, Procedia Social and Behavioral Sciences 15 (2011) 3059–3062.
• Heung, V. C., Kucukusta, D., & Song, H. (2011). Medical tourism development in Hong Kong: An assessment of the barriers. Tourism Management, 32(5), 995-1005.
• Ishikawa, A., Amagasa, M., Shiga, T., Tomizawa, G., Tatsuta, R., & Mieno, H. (1993): The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy sets and systems, 55(3), 241-253.
• Jorgenson, D. W., Ho, M. S., & Stiroh, K. J. (2008). A retrospective look at the US productivity growth resurgence. Journal of Economic perspectives, 22(1), 3-24.
• J. Kim et al. (eds.), (2017): IT Convergence and Security, Lecture Notes in Electrical Engineering 450.
• Kiprutto, N., Kigio, F. W., & Riungu, G. K. (2011). Evidence on the adoption of E-Tourism Technologies in Nairobi. Global Journal of business research, 5(3), 55-66.
• Li, S. C., Robinson, P., & Oriade, A. (2017). Destination marketing: The use of technology since the millennium. Journal of destination marketing & management, 6(2), 95-102.
• Mihalcescu, C., Sion, B., & Marginean, A. (2016). The development, success and impact of electronic tourism in the digital age. Journal of Information Systems & Operations Management, 416.
• Mullen, P. (2003). Delphi: myths and reality. Journal of Health Organisation and Management, 17(1), 37-52.
• Navı ́o-Marco J, Ruiz-Go ́ mez LM and Sevilla-Sevilla C. (2018). Progress in information technology andtourism management: 30 years on and 20 years after the Internet—revisiting Buhalis & Law’s landmarkstudy about eTourism.Tourism Management69: 460–470.
• Nilashi, M., Ahani, A., Esfahani, M. D., Yadegaridehkordi, E., Samad, S., Ibrahim, O., Akbari, E. (2019). Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach. Journal of Cleaner Production, 215, 767-783.
• Nilashi, M., Yadegaridehkordi, E., Ibrahim, O., Samad, S., Ahani, A., & Sanzogni, L. (2019). Analysis of Travellers' Online Reviews in Social Networking Sites Using Fuzzy Logic Approach. International Journal of Fuzzy Systems, 1-12.
• Okoli, C., & Pawlowski, S. (2004): The Delphi method as a research tool: an example, design considerations and applications. Information & Management, 42(1), 15-29.
• Provenzano, Davide & Baggio, R. (2019). E-tourism economics: Editorial for the special issue, Tourism Economics,pp 1–6.
• Rehman, O. U., Liu, X., Rauf, A., Slama, M. B., & Amin, W. (2019). Internet tradition and tourism development: A causality analysis on BRI listed economies. Tourism Economics,pp 1-32.
• Rehman, O. U., Liu, X., Rauf, A., Slama, M. B., & Amin, W. (2020). Internet tradition and tourism development: A causality analysis on BRI listed economies. Tourism Economics, 26(6), 926-957.
• Rezvani, M. R; Sabbaghpour Azarian, M; Shafia, S. (2017). The Role of Key Actors in e-Tourism Dominance in Iran, Quarterly Journal of Tourism Management Studies, Year 12, No. 40, pp. 41-82 [in Persian].
• Sigala, M. (2015). The application and impact of gamification funware on trip planning and experiences: The case of TripAdvisor’s funware. Electronic Markets 25(3): 189–209.
• Tahmour Forqani, A. (2017). Explaining the Barriers to the Development of Electronic Tourism in the Iranian Tourism Industry (Case Study: Isfahan), M.Sc. Thesis, Business Management, Shahid Ashrafi University of Isfahan. [In Persian]
• Taqwaifard, Mohammad Taqi; Asadianardakani, Faezeh (2018). "Presenting an e-tourism development model with a structural-interpretive modeling approach", Quarterly Journal of Tourism Management Studies, Eleventh Year, No. 33, pp. 19-19 [in Persian].
• Walki, Sh, Amir Hosseini, S.H, Pirzad, A. (2020). Identifying the factors affecting e-sports tourism in Iran, Quarterly Journal of Regional Planning, Volume 10, Number 39, pp. 49-60. [In Persian]
• Xiang, Z. (2018). From digitization to the age of acceleration: on information technology and tourism. Tourism Management Perspectives 25: 147–150.
• Yadegaridehkordi, M. Nilashi, L. Shuib, M. Hairul Nizam Bin Md Nasir, S. Asadi, S. Samad, . Fatimah‌Awang, N. (2019). The Impact of Big Data on Firm Performance in Hotel Industry, Electronic Commerce Research and Applications, Volume 40.
• Yazdani, M. H; Pashazadeh, A; Jami, M. (2018). Identifying the effective factors in creating a sidewalk using the route analysis model (Case study: Sarein city), Quarterly Journal of Urban Studies, No. 29, pp. 44-30. [In Persian].