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Volume 39, Issue 1 (2024)
GeoRes 2024, 39(1): 25-36 |
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Received: 2023/12/24 | Accepted: 2024/01/22 | Published: 2024/02/10
Received: 2023/12/24 | Accepted: 2024/01/22 | Published: 2024/02/10
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Rastgari M, Bozorgmehr K, Ebrahimi Jamnani L, Haghzad A. Presenting the Model of Establishing Electronic Tourism in the Tourism Development of the Coastal Cities of Mazandaran Province Using the Grounded Theory. GeoRes 2024; 39 (1) :25-36
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1- Department of Geography and Urban Planning, Chalous Branch, Islamic Azad University, Chalous, Iran
Abstract (1184 Views)
Aims: In the current era, nations are achieving success in the realm of e-tourism, whereby they leverage the potential of electronic tourism. This encompasses numerous regions within the country, particularly the coastal cities situated in the province of Mazandaran, which have consistently been renowned as tourist hotspots. The primary objective of this investigation was to explore the implementation of electronic tourism for the enhancement of tourism in the coastal cities of Mazandaran province.
Methodology: The conduction of this study took place within the confines of Mazandaran province during the years 2023-2024. Employing a qualitative approach in terms of methodology and a fundamental approach in terms of purpose, the study model was developed utilizing the grounded theory method. The collection of data was facilitated through semi-structured interviews conducted with experts, with a total of 21 participants (N=21). The selection of samples was performed using the snowball sampling technique. For the analysis of the gathered data, the approach proposed by Strauss and Corbin was adopted.
Findings: After conducting the three stages of open, central, and selective coding, a total of 26 sub-categories were identified within the overarching categories of causal, contextual, intervening conditions, strategies, and consequences. These sub-categories were organized into a final model consisting of six dimensions. The contextual condition category included factors such as organizational complexity, tourist conditions, and environmental conditions. The causal condition category encompassed the dynamics of the industry, tourists, and manpower, as well as the strengthening of organizations and infrastructures, and the dynamics of problem solving. The intervening condition category involved aspects such as management, structural barriers, and characteristics of the tourism industry. Additionally, the strategies category encompassed organizational flexibility, interaction with tourists, customer-oriented human resources, and service improvement. Lastly, the consequences category included the development of e-tourism, increased tourist satisfaction, economic development, and increased income.
Conclusions: The ultimate model derived from this investigation will pave the way for the enhancement of managerial approaches and the achievement of the ultimate objective of e-tourism establishment, and can serve as the framework for subsequent growth.
Methodology: The conduction of this study took place within the confines of Mazandaran province during the years 2023-2024. Employing a qualitative approach in terms of methodology and a fundamental approach in terms of purpose, the study model was developed utilizing the grounded theory method. The collection of data was facilitated through semi-structured interviews conducted with experts, with a total of 21 participants (N=21). The selection of samples was performed using the snowball sampling technique. For the analysis of the gathered data, the approach proposed by Strauss and Corbin was adopted.
Findings: After conducting the three stages of open, central, and selective coding, a total of 26 sub-categories were identified within the overarching categories of causal, contextual, intervening conditions, strategies, and consequences. These sub-categories were organized into a final model consisting of six dimensions. The contextual condition category included factors such as organizational complexity, tourist conditions, and environmental conditions. The causal condition category encompassed the dynamics of the industry, tourists, and manpower, as well as the strengthening of organizations and infrastructures, and the dynamics of problem solving. The intervening condition category involved aspects such as management, structural barriers, and characteristics of the tourism industry. Additionally, the strategies category encompassed organizational flexibility, interaction with tourists, customer-oriented human resources, and service improvement. Lastly, the consequences category included the development of e-tourism, increased tourist satisfaction, economic development, and increased income.
Conclusions: The ultimate model derived from this investigation will pave the way for the enhancement of managerial approaches and the achievement of the ultimate objective of e-tourism establishment, and can serve as the framework for subsequent growth.
References
1. Agheli M, Karimi O, Rashidi H (2019). Investigating factors affecting the creation of common values and its impact on the loyalty of tourists (case study: Foreign tourists of Damghan city). Journal of Tourism & Development. 8(2):23-47. [Persian] [Link]
2. Ahmadpour Kasegarie S, Aghajani H, Shojaei S, Ashrafi M (2023). Conceptual model of e-commerce businesses in tourism based on meta-synthesis method. Journal of Tourism Planning and Development. 12(45):109-130. [Persian] [Link]
3. Alizadeh P, Safdari Ranjbar M, Fartash K (2021). An investigation into the maximum utilisation of national production and service capacity act. Journal of Science & Technology Policy.14(1):55-70. [Persian] [Link]
4. Arenas AE, Goh JM, Uruena A (2019). How does IT affect design centricity approaches: Evidence from Spain's smart tourism ecosystem. International Journal of Information Management. 45:149-162. [Link] [DOI:10.1016/j.ijinfomgt.2018.10.015]
5. Bojnec Š, Kribel Z (2004). Information and communication technology in tourism. Proceedings of the 5th International Conference of the Faculty of Management Koper; 2004 Nov 18-20. Slovenia: University of Primorska. p. 445-454. [Link]
6. Braun V, Clarke V (2006). Using thematic analysis in psychology. Qualitative Research in Psychology. 3(2):77-101. [Link] [DOI:10.1191/1478088706qp063oa]
7. Buhalis D, Law R (2008). Progress in information technology and tourism management: 20 years on and 10 years after the internet; The state of e-tourism research. Tourism Management. 29(4):609-623. [Link] [DOI:10.1016/j.tourman.2008.01.005]
8. Danaeifard H, Emami SM (2007). Strategies of qualitative research: A reflection on grounded theory. Journal of Strategic Management Thought. 1(2):69-97. [Persian] [Link]
9. Dehdashti Shahrokh Z, Soleimanzadeh O, Shahmirzaei V (2018). The effect of customer brand identification on brand equity in hotel services. Tourism Management Studies. 12(40):1-20. [Persian] [Link]
10. Delshad A, Abohashem Abadi F, Ghasemian Sahebi I, Ajali M (2018). Analyzing the barriers of e-tourism development in Iran using the fuzzy interpretive structural modeling approach. Journal of Business Administration Research. 10(19):189-212. [Persian] [Link] [DOI:10.29252/bar.10.18.189]
11. Estelaji A, Hatefi A (2016). The position of information and communication technology in the development of tourism in Ardabil province. Journal of Geography. 14(50):193-211. [Persian] [Link]
12. Fallah Tafti H, Asadi MM, Momayezi Mehrjardi H (2018). Infrastructure-based modeling in the development of electronic tourism by structural equation modeling approach (case study: Yazd province). Journal of Tourism Planning and Development. 7(25):117-135. [Persian] [Link]
13. Goulding C (2000). Grounded theory methodology and consumer behaviour, procedures, practice and pitfalls. Advances in Consumer Research. 27:261-266. [Link]
14. Hajipour B, Moradi M (2010). Organizational flexibility and performance: Case study of Arak industrial estate manufacturing organizations. Management Studies in Development and Evolution. 20(62):143-162. [Persian] [Link]
15. Hashemi SS, Mahbubfar M, Khaki N, Mokhtari F (2014). Analysis of effective factors in e-tourism development planning using the SWOT strategic model studied. Journal of Tourism. 2(2):73-84. [Persian] [Link]
16. Kouzegar Kaleji L, Aghaei P, Mohamadi H (2017). The impact of tourism brand value on museum tourists' loyalty case study: Iran national museum, Tehran. Journal of Tourism and Development. 6(2):190-207. [Persian] [Link]
17. Li J, Xu L, Tang L, Wang S, Li L (2018). Big data in tourism research: A literature review. Tourism Management. 68:301-323. [Link] [DOI:10.1016/j.tourman.2018.03.009]
18. McIvor R, O'Reilly D, Ponsonby S (2003). The impact of Internet technologies on the airline industry: Current strategies and future developments. Strategic Change. 12(1):31-47. [Link] [DOI:10.1002/jsc.618]
19. Mello J, Flint DJ (2009). A refined view of Grounded Theory and its application to logistics research. Journal of Business Logistics. 30(1):107-125. [Link] [DOI:10.1002/j.2158-1592.2009.tb00101.x]
20. Michopoulou E, Buhalis D, Michailidis S, Ambrose I (2007). Destination management systems: Technical challenges in developing an e-tourism platform for accessible tourism in Europe. In: Sigala M, Mich L, Murphy J, editors. Information and communication technologies in tourism. Vienna: Springer. p. 301-310. [Link] [DOI:10.1007/978-3-211-69566-1_28]
21. Pahang Z, Hamidianpour M, Shoja F (2023). Spatiotemporal variation of the tourism climate index in the southern coasts of Iran. Journal of Tourism Planning and Development. 12(44):185-215. [Persian] [Link]
22. Pourjahan S, Mohajer B, Kuhzady S (2022). Creative tourism planning theory framework: A systematic review. Journal of Tourism Planning and Development. 11(41):103-121. [Persian] [Link]
23. Rohani S, Zare Ravasan A, Hamidi H, Vosough S (2013). Identification and classification of affecting factors on e-tourism in Iran. Middle-East Journal of Scientific Research. 16(10):1361-1368. [Link]
24. Ronaghi MH, Dehghani M (2021). A framework for e-tourism acceptance by meta-synthesis method. Journal of Tourism and Development. 9(4):49-62. [Persian] [Link]
25. Sadeghi Pouryani A, Tajzadeh Namin A, Eslambolchi A, Esmaeilpour M, Asgari Sarem A (2021). A modeling assessment of the e-tourism readiness, case: Hamadan province, Iran. Journal of Tourism and Development. 10(1):63-80. [Persian] [Link]
26. Salahi Kojour A, Razavi SMH, Amirnejad S, Mohammadi N, Taghipourian MJ (2020). Investigating the factors affecting smart tourism in the hybrid technique-based sports industry. Journal of Tourism Planning & Development. 9(34):101-120. [Persian] [Link]
27. Shafiee S, Rajabzadeh Ghatari A, Hasanzadeh A, Jahanyan S (2019). Developing a model for sustainable smart tourism destinations: A systematic review. Tourism Management Perspectives. 31:287-300. [Link] [DOI:10.1016/j.tmp.2019.06.002]
28. Shirshamsi A, Mirabi V, Hasanpour E, Ranjbar M (2021). The effect of e-marketing on the development of the tourism industry (case study: Yazd city). Journal of Urban Tourism. 7(4):35-47. [Persian] [Link]
29. Taghvafard MT, Asadian Ardakani F (2016). Providing a model for electronic tourism development with an Interpretive Structural Modeling (ISM) approach. Tourism Management Studies. 11(33):19-39. [Persian] [Link]
30. Wang X, Li XR, 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. [Link] [DOI:10.1016/j.tourman.2015.12.003]
31. Yahyazade H, Fallah A, Matani M, Bagherzadeh MR (2023). Provide a model for the impact of mass media on the development of the tourism industry. Journal of Tourism Planning and Development. 12(44):123-155. [Persian] [Link]
32. Zanjirchi SM, Olfat L (2010). The role of thechnology in achieving agility in Iran's electronic companies. Journal of Science & Technology Policy. 3(1):29-44. [Persian] [Link]
33. Zhang MJ (2005). Information systems, strategic flexibility and firm performance: An empirical investigation. Journal of Engineering and Technology Management. 22(3):163-184. [Link] [DOI:10.1016/j.jengtecman.2005.06.003]