Legal Basis of Educational Processes of Artificial Intelligence Algorithms in E-tourism
Автор: Žaklina Spalević, Bojana Milosavljević, Sanja Marković
Журнал: International Journal of Cognitive Research in Science, Engineering and Education @ijcrsee
Рубрика: Review articles
Статья в выпуске: 1 vol.12, 2024 года.
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E-tourism has become a key component in the tourism industry and allows travelers to easily access information about destinations and services via the Internet, facilitating their travel planning process. Through e-tourism, travelers can research destinations, plan trips, book accommodations, purchase transportation tickets, and explore tourist attractions through online resources. Also, this area helps tourism businesses to effectively promote their services, communicate with clients and manage reservations. E-tourism represents the integration of information and communication technologies in the tourism sector. This concept encompasses the application of digital technologies such as the Internet, mobile applications, online reservation systems, web platforms and social media to improve aspects of travel and tourism. The legal foundation of educational procedures utilizing artificial intelligence algorithms in e-tourism holds significant importance because of the multitude of potential legal complexities and obstacles that could emerge. The Republic of Serbia, like many other countries, is working on improving its regulations in order to enable the development of e-tourism and at the same time ensure the protection of the interests and safety of travelers.
E-tourism, internet, legal regulations, artificial intelligence, user safety
Короткий адрес: https://sciup.org/170202081
IDR: 170202081 | DOI: 10.23947/2334-8496-2024-12-1-209-217
Список литературы Legal Basis of Educational Processes of Artificial Intelligence Algorithms in E-tourism
- Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Handbook of e-Tourism (pp. 1943-1962). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-48652-5_110 DOI: https://doi.org/10.1007/978-3-030-48652-5_110
- Chen, M., Jiang, Z., Xu, Z., Shi, A., Gu, M., & Li, Y. (2022). Overviews of internet of things applications in China’s hospitality industry. Processes, 10(7), 1256. https://doi.org/10.3390/pr10071256 DOI: https://doi.org/10.3390/pr10071256
- Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: a systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(3), 1154-1176. https://doi.org/10.1108/IJCHM-06-2021-0767 DOI: https://doi.org/10.1108/IJCHM-06-2021-0767
- European Commission (2020). White Paper on Artificial Intelligence: a European approach to excellence and trust. Brussels, COM(2020) 65 final.
- García-Madurga, M. Á., & Grilló-Méndez, A. J. (2023). Artificial Intelligence in the tourism industry: An overview of reviews. Administrative Sciences, 13(8), 172. https://doi.org/10.3390/admsci13080172 DOI: https://doi.org/10.3390/admsci13080172
- Giotis, G., & Papadionysiou, E. (2022). The role of managerial and technological innovations in the Tourism industry: A review of the empirical literature. Sustainability, 14(9), 5182. https://doi.org/10.3390/su14095182 DOI: https://doi.org/10.3390/su14095182
- Gretzel, U. (2011). Intelligent systems in tourism: A social science perspective. Annals of tourism research, 38(3), 757-779. https://doi.org/10.1016/j.annals.2011.04.014 DOI: https://doi.org/10.1016/j.annals.2011.04.014
- Frechtling, D.C. (2001). Forecasting tourism demand − methods and strategies (1st ed.). London. Routledge, 154. https://doi.org/10.4324/9780080494968 DOI: https://doi.org/10.4324/9780080494968
- Kelly, S., Kaye, S.A., Oviedo-Trespalacios, O. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review, Telematics and Informatics, 77, 101925, https://doi.org/10.1016/j.tele.2022.101925 DOI: https://doi.org/10.1016/j.tele.2022.101925
- Kirtil, I. G., & Aşkun, V. (2021). Artificial Intelligence in Tourism: A Review and Bibliometrics Research. Advances in Hospitality and Tourism Research (AHTR), 9(1), 205-233. https://doi.org/10.30519/ahtr.801690 DOI: https://doi.org/10.30519/ahtr.801690
- Lv, H., Shi, S., & Gursoy, D. (2022). A look back and a leap forward: a review and synthesis of big data and artificial intelligence literature in hospitality and tourism. Journal of Hospitality Marketing & Management, 31(2), 145-175. https://doi.org/10.1080/19368623.2021.1937434 DOI: https://doi.org/10.1080/19368623.2021.1937434
- Mavri, M., & Angelis, V. (2009). Forecasting the growth of e − tourism sector: The case study of Mediterranean countries. Tourismos: An international multidisciplinary journal of tourism, 4(3), 113-125. https://mpra.ub.uni-muenchen.de/id/eprint/25439
- Putera, N. S. F. M. S., Saripan, H., Bajury, M. S. M., & Yaâ, S. N. (2022). Artificial Intelligence in the Tourism Industry: A privacy impasse. Environment-Behaviour Proceedings Journal, 7(SI7), 433-440. https://doi.org/10.21834/ebpj.v7iSI7.3812 DOI: https://doi.org/10.21834/ebpj.v7iSI7.3812
- Rahmadian, E., Feitosa, D., & Zwitter, A. (2022). A systematic literature review on the use of big data for sustainable tourism. Current Issues in Tourism, (11), 1711-1730. https://doi.org/10.1080/13683500.2021.1974358 DOI: https://doi.org/10.1080/13683500.2021.1974358
- Skilton, M., & Hovsepian, F. (2018). The 4th industrial revolution. Responding to the Impact of Artificial Intelligence on Business. Springer Nature. https://doi.org/10.1007/978-3-319-62479-2 DOI: https://doi.org/10.1007/978-3-319-62479-2
- Statista 2023a, Most popular social networks worldwide as of October 2023, ranked by number of monthly active users (in millions). https://www.statista.com/statistics/272014/global-social-networks-ranked- by-number-of-users/
- Statista 2023b, Annual size of real time data in the global datasphere from 2010 to 2025 (in zettabytes). https://www.statista.com/statistics/949144/worldwide-global-datasphere-real-time-data-annual-size/
- Strategija razvoja veštačke inteligencije u Republici Srbiji za period 2020-2025. Godina [Strategy for the development of artificial intelligence in the Republic of Serbia for the period 2020-2025.], (“Službeni glasnik RS”, broj 96 od 31. decembra 2019). https://www.pravno-informacioni-sistem. rs/SlGlasnikPortal/eli/rep/sgrs/ vlada/strategija/2019/96/1/reg
- The General Data Protection Regulation (GDPR). https://gdpr.eu/
- Trifunović, I., Spalević, Ž., Marković, F., & Savić, S. (2024). Pravna regulativa e-turizma i budućnost primene veštačke inteligencije u e-turizmu [Legal regulation of e-tourism and the future of the application of artificial intelligence in e-tourism]. Zbornik radova Sinergija, 14. naučni skup sa međunarodnim učešćem, Bijeljina. DOI: https://doi.org/10.7251/ZRSNG2324035T
- Tussyadiah, I., & Miller, G. (2019). Perceived impacts of artificial intelligence and responses to positive behaviour change intervention. In Information and Communication Technologies in Tourism 2019: Proceedings of the International Conference in Nicosia, Cyprus, January 30–February 1, 2019 (pp. 359-370). Springer International Publishing. https://doi.org/10.1007/978-3-030-05940-8_28 DOI: https://doi.org/10.1007/978-3-030-05940-8_28
- Tuo, Y., Ning, L., & Zhu, A. (2021). How artificial intelligence will change the future of tourism industry: The practice in China. In Information and Communication Technologies in Tourism 2021: Proceedings of the ENTER 2021 eTourism Conference, January 19–22, 2021 (pp. 83-94). Springer International Publishing. https://doi.org/10.1007/978-3-030-65785-7_7 DOI: https://doi.org/10.1007/978-3-030-65785-7_7
- Zaključak o usvajanju etičkih smernica za razvoj, primenu i upotrebu pouzdane i odgovorne veštačke inteligencije [Conclusion on the adoption of ethical guidelines for the development, application and use of reliable and responsible artificial intelligence], (“Sl. glasnik RS”, br. 23/2023).
- Zakon o elektronskoj trgovini [Law on Electronic Commerce], (“Sl. glasnik RS”, br. 41/2009, 95/2013 i 52/2019). https://www.paragraf.rs/propisi/zakon_o_elektronskoj_trgovini.html
- Zakon o elektronskom fakturisanju [Law on electronic invoicing], (“Sl. glasnik RS”, br. 44/2021, 129/2021, 138/2022 i 92/2023). https://www.paragraf.rs/propisi/zakon-o-elektronskom-fakturisanju.html
- Zakon o platnim uslugama [Law on Payment Services], (“Sl. glasnik RS”, br. 139/2014 i 44/2018). https://www.paragraf.rs/propisi/zakon_o_platnim_uslugama.html
- Zakon o zaštiti podataka o ličnosti [Personal Data Protection Act], (“Sl. glasnik RS”, br. 87/2018). https://www.paragraf.rs/propisi/zakon_o_zastiti_podataka_o_licnosti.html
- Zakon o zaštiti potrošača [Consumer Protection Law], (“Sl. glasnik RS”, br. 88/2021). https://www.paragraf.rs/propisi/zakon_o_zastiti_potrosaca.html