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Research and Development of Decision Support System for Tourism Management Based on Big Data Analysis

   | 05 lug 2024
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Raúl Tarazona-Montoya, Peris-Ortiz, M., & Devece, C. (2020). The value of cluster association for digital marketing in tourism regional development. Sustainability, 12(23), 9887. Search in Google Scholar

Nuenen, T. V., & Scarles, C. (2021). Advancements in technology and digital media in tourism. Tourist Studies(1). Search in Google Scholar

Akhtar, N., Khan, N., Khan, M. M., Ashraf, S., Hashmi, M. S., & Khan, M. M., et al. (2021). Post-covid 19 tourism: will digital tourism replace mass tourism?. Sustainability, 13. Search in Google Scholar

Henar, Salas-Olmedo, Maria, Moya-Gomez, Borja, & Carlos, et al. (2018). Tourists’ digital footprint in cities: comparing big data sources. TOURISM MANAGEMENT, 66(Jun.), 13-25. Search in Google Scholar

Ramos, V., Maurici Ruiz-Pérez, & Alorda, B. (2021). A proposal for assessing digital economy spatial readiness at tourism destinations. Sustainability, 13. Search in Google Scholar

Valls, F., & Roca, J. (2021). Visualizing digital traces for sustainable urban management: mapping tourism activity on the virtual public space. Sustainability, 13. Search in Google Scholar

Floros, C., Cai, W., Mckenna, B., & Ajeeb, D. (2019). Imagine being off-the-grid: millennials’ perceptions of digital-free travel. Journal of Sustainable Tourism(6), 1-16. Search in Google Scholar

Kuzior, A., Lyulyov, O., Pimonenko, T., Kwilinski, A., & Krawczyk, D. (2021). Post-industrial tourism as a driver of sustainable development. Sustainability, 13(15), 8145. Search in Google Scholar

Iorio, C., Pandolfo, G., D’Ambrosio, A., & Siciliano, R. (2020). Mining big data in tourism. Quality & Quantity, 54(2). Search in Google Scholar

Filieri, R., D’Amico, E., Destefanis, A., Paolucci, E., & Raguseo, E. (2021). Artificial intelligence (ai) for tourism: an european-based study on successful ai tourism start-ups. International journal of contemporary hospitality management(11), 33. Search in Google Scholar

Luis, E., Boavida-Portugal Inês, Carlos, C. F., & Jorge, R. (2017). Identifying tourist places of interest based on digital imprints: towards a sustainable smart city. Sustainability, 9(12), 2317. Search in Google Scholar

Poux, F., Valembois, Q., Mattes, C., Kobbelt, L., & Billen, R. (2020). Initial user-centered design of a virtual reality heritage system: applications for digital tourism. Remote Sensing, 12(16), 2583. Search in Google Scholar

Qiong, S., Xiankai, H., & Zheng, L. (2022). Tourists’ digital footprint: prediction method of tourism consumption decision preference. The Computer Journal(6), 6. Search in Google Scholar

Martins, J., Goncalves, R., Au-Yong-Oliveira, M., Moreira, F., & Branco, F. (2020). Qualitative analysis of virtual reality adoption by tourism operators in low-density regions. IET software(6), 14. Search in Google Scholar

Hu, M., Li, H., Song, H., Law, R., & Li, X. (2022). Tourism demand forecasting using tourist-generated online review data. Tourism management(Jun.), 90. Search in Google Scholar

Mai, Thanh, Smith, & Carl. (2018). Scenario-based planning for tourism development using system dynamic modelling: a case study of cat ba island, vietnam. Tourism Management. Search in Google Scholar

Lu, Y., & Cui, B. (2022). Intelligent tourism marketing and publicity methods for revenue enhancement. Mobile information systems(Pt.24), 2022. Search in Google Scholar

Du, J. (2021). Research on intelligent tourism information system based on data mining algorithm. Mobile Information Systems. Search in Google Scholar

Wei, C., Wang, Q., & Liu, C. (2020). Research on construction of a cloud platform for tourism information intelligent service based on blockchain technology. Wireless Communications and Mobile Computing. Search in Google Scholar

Chen, J., Xue, H., & Tsa, S. B. (2021). An empirical study on intelligent rural tourism service by neural network algorithm models. Complexity. Search in Google Scholar

Yu, Y. (2022). Analysis and study on intelligent tourism route planning scheme based on weighted mining algorithm. Scientific programming(Pt.15), 2022. Search in Google Scholar

eISSN:
2444-8656
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics