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Analysis of the Behavior of Tourists in Iran Based on Data Mining and Search Rate on Google | ||
| Journal of Digital Content Management | ||
| مقاله 12، دوره 4، شماره 6، 2023، صفحه 253-270 اصل مقاله (1.11 M) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22054/dcm.2022.68971.1127 | ||
| نویسندگان | ||
| Mahrokh Makhsoos* 1؛ Naderehosadat Najafizadeh2؛ Habibollah Javanmard2 | ||
| 1PhD Candidate in Business Management, Islamic Azad University, Hamedan Branch, Iran | ||
| 2Assistant professor , Department of Business Management, Islamic Azad University, Arak branch, Iran | ||
| چکیده | ||
| Understanding tourist behavior is a requirement for marketing planning for the supply of goods and services to satisfy tourists. Nowadays, many tourists decide to travel to any place by searching through internet explorers. The present study was conducted with the aim of analyzing the behavior of tourists in Iran based on data mining (search rate on Google Trend). The research is applied and has been done with a causal descriptive method. The method of collecting data is by searching keywords on Google. . To collect the keywords needed for the research, we had to turn to the experts and authorities on the field as well as the relevant scientific articles. The process of data collection is that a series of key words in tourism were selected and accordingly, it was determined how much people used these words in different places in Iran. Correlation matrix (covariance) model has been used for data analysis. In this research, the structural information of these keywords was obtained and edited based on the keywords related to tourism extracted from Google Trend by time series and with the help of Pearson correlation matrix. Nine keywords were selected for search, including hotel, entertainment, pilgrimage, tourism, nature, places of interest, archeology, travel and travel tour. The keywords are not searched at random, but they are related and correlated and stem from a structural thinking. The results of the data analysis have shown the type and intensity of connections between the words that had a communication structure. It was also found that the words pilgrimage, recreation, and archeology have less connection with other words. | ||
| کلیدواژهها | ||
| Behavior Analysis؛ Data Mining؛ Google Search؛ Pearson Correlation Matrix؛ Tourism | ||
| مراجع | ||
|
Rahm Del (1385), "Khorramabad Underdevelopment Factors Seminar", Cultural Heritage Organization, Volume 1.
Bahramian, Mohsen; Shams al-Dini, Ali (2017), "Quantitative analysis of the role of urban management in promoting the tourism industry in cities (case study: Maroodasht city)", Journal of Urban Planning and Research, 9th year, serial number 32, 131-140 Delavar, Ali; Kadri, Ismail; Madi, Nima (2013), "The place of social media in the development of e-tourism marketing in Iran", scientific-research quarterly of tourism management studies, 9th year, number 28, 1-16
Dimitriou, Christina K(2017) ,’’The quest for a practical approach to morality and the tourism industry’’, Journal of Hospitality and Tourism Management 31 , 45-51
Edvardson, Bo,(2005), "Service Quality: Beyond cognitive Assessment" managing service Quality, 15/2 , pp 127-132
Henderson, Isaac Levi ; Avis Mark ; Hong Kan Tsui, Wai (2018),’’ Testing discontinuous innovations in the tourism industry: The case of scenic airship services’’, Tourism Management 66 ,167-179
Higham, J., Cohen, S.A., Cavaliere, C. T., Reis, A., & Finkler, W( 2016), ‘’Climate change, tourist air travel and radical emissions reduction’’.Journal of Cleaner Production, 111 (Part B), 336-347
Islam, Ali Akbar (1382), "Domestic Tourism Market", Tehran, first edition, Zahad Publications
Kapera I(2010), ‘’Sustainable tourism development efforts by local governments in Poland’’,Sustainable Cities and Society, https://doi.org/10.1016/j.scs.2018.05.001
Lee, C.-C., & Chang, C.-P(2008),’’Tourism development and economic growth: A closer look at panels’’, Tourism Management, 29(1), 180-192 ##
Liu, J., Nijkamp, P., Huang, X., & Lin, D(2017), ‘’Urban livability and tourism development in China: Analysis of sustainable development by means of spatial panel data’’,Habitant International, 68, 99-107 ##
Lohmann, M. and E. kaim, (1999), "weather and holiday destination preferences, image attitude and experience" The Tourist riview. P: 12, 72 ##
Maddison, D, (2007), “in search of warmer climates? The impact of climate change of flower of British tourists. In the Amenity valae of Global climate”, Maddison, D, (ed). Ear thsean, London, uk. P.55 ##
Marut, Habib; Salem, Ali Asghar; servant, blessing; Elahi, Mahbubeh (2017), "Identification of factors affecting the demand of foreign tourism", Economic Research Journal, 18th volume, No. 69, 275-306
Mowforth, M., & Munt, I(2016),’’Tourism and sustainability Development, globalisation and new tourism in the third world’’, Routledge: New York (NY)
Taleghani,Gholam;Ghafary, Reza Ali; Asgharpour, Seyed Esmail, Bekiai, Maryam(2014) ,’’An Investigation of the Barriers Related to Tourism Industry Development in Iran’’, Procedia - Social and Behavioral Sciences, Volume 120, 19 March 2014, Pages 772-778
Tang, C. F., & Tan, E. C(2015),’’Does tourism effectively stimulate Malaysia's economic growth?’’ Tourism Management, 46, 158-163 ##
Wang, Q., Li, X.-Y., Zhang, Z.-T., Tao, Z.-L., & Tang, B.-J(2018),’’Carbon emissions reduction in tobacco primary processing line: A case study in China. Journal of Cleaner Production’’, 175, 18-28 | ||
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