BLOCKCHAIN IN TOURISM AND BC MODEL FOR EDUCATION OF THE STUDENTS IN TOURISM SECTOR
Abstract
The Fourth Industrial Revolution brings us changes in digital technologies, using Artificial Intelligence (AI), Blockchain (BC), Machine learning, robotics, simulations, Internet of things (IoT), Nanotechnology, 3D printing etc. The aim of this paper is to present the possibilities of applying modern technologies in the education of students in tourism sector, with special emphasis on the application of blockchain technologies (BCT) as well as to bring the specifics of these technologies closer to the readers. In this paper is proposed a model of student education based on BCT. In addition, evaluation the students knowledge on application new technologies in this area is presented in the paper.
Downloads
References
Bjelobaba, G., Paunovic, M., Savic, A, Stefanovic, H., Doganjic, J., Miladinovic Bogavac, Z. (2022). Blockchain Technologies and Digitalization in Function of Student Work Evaluation, Sustainability (accepted).
Bilotta, E., Bertacchini, F., Gabriele, L., Giglio, S., Salvatore, P., Pantano, Romita, T. (2021). Industry 4.0 technologies in tourism education: Nurturing students to think with technology, Journal of Hospitality, Leisure, Sport & Tourism Education, Vol. 29, 100275.
Chatterjee, R., Chatterjee, R. (2017). An Overview of the Emerging Technology: Blockchain, in 2017 3rd International Conference on Computational Intelligence and Networks (CINE), 126–127,
Christou, P., Simillidou, A., Stylianou, M.C. (2020). Tourists’ perceptions regarding the use of anthropomorphic robots in tourism and hospitality. Int. J. Contemp. Hosp.Manag. Vol. 32, No. 11, 3665–3683.
Danezis, G., Meiklejohn, S. (2017). Centrally Banked Cryptocurrencies.
Dredge, D., Phi, G. T. L., Mahadevan, R., Meehan, E., Popescu, E. (2019). Digitalisation in Tourism: In-depth analysis of challenges and opportunities. Aalborg University, Copenhagen.
European Union (2019). Blockchain now and tomorrow. Assessing multidimensional impacts of distributed ledger technologies. Luxembourg: Publications Office of the European Union.
Finck, M. (2018). Blockchains and Data Protection in the European Union. Eur. Data Prot. Law Rev., Vol. 4, No. 1, 17–35.
Gajović, V., Kerkez, M., Kočović, J. (2018). Modeling and simulation of logistic processes: risk assessment with a fuzzy logic technique. SAGE Journal. Simulation: Transactions of the Society for Modeling and Simulation International, Vol. 94, No. 6, 507–518.
Gencer, A. E. Basu, S., Eyal, I., van Renesse, R., Sirer, E. G. (2018). Decentralization in Bitcoin and Ethereum Networks. Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), Vol. 10957 LNCS, 439–457.
Hadjielias, E., Christofi, M., Christou, P., Hadjielia Drotarova, M. (2022). Digitalization, agility, and customer value in tourism. Technological Forecasting and Social Change, Vol. 175, 121334,
Hileman, G. Rauchs, M. (2017). Global blockchain benchmarking study. https://papers.ssrn.com/ (20 October 2021).
Lu, L., Zhang, P., Zhang, T.C. (2021). Leveraging “human-likeness” of robotic service at restaurants. Int. J. Hosp. Manag. No. 94, 102823.
Luo, H., Dutton, J.A., Robinson, A. C. (2014). Peer Grading in a MOOC: Reliability, Validity, and Perceived Effects, www.coursera.org/course/maps. (25 March 2022).
Misic, Z., Mrazovac, B. (2020). Implementacija Programske Podrške za Manipulaciju Podacima Decentralizovane Aplikacije za Upravljanje Pristupom Zaštićenoj Zoni. Zb. Rad. Fak. Teh. Nauk. u Novom Sadu, Vol. 35, No. 10, 1818–1821.
OECD, Blockchain Primer, www.oecd.org/finance/blockchain/ (3 August 2021).
Paunović, M., Ralević, M.N., Gajović, V., Mladenović-Vojinović, B., Milutinović, O. (2018). Two-Stage Fuzzy Logic Model for Cloud Service Supplier Selection and Evaluation. Mathematical Problems in Engineering, Article ID 7283127.
Paunović, M., Ralević, M.N., Milutinović, O., Vojinović, Ž., Mladenović-Vojinović, B. (2019). Integrated Fuzzy System and MultiExpression Programming Techniques for Supplier Selection. Tehnički vjesnik - Technical Gazette, Vol. 26, No. 1, 122-127.
Piech, C., Huang, J., Chen, Z., Do, C., Ng, A., Koller, D. (2013). Tuned Models of Peer Assessment in MOOCs, http://arxiv.org/abs/1307.2579, (12 July 2013).
Ralević, N., Paunović, M. (2021). Applications of the Fuzzy Metrics in Image Denoising and Segmentation. Tehnički vjesnik, Vol. 28, No. 3, 819-826.
Ralević, M.N., Paunović, M., Iričanin, B. (2020). Fuzzy metric spaces and applications in image processing. Mathematica Montisnigri, Vol. 48 103-117.
Savic, M. S., Savic, A. M. (2015). Substation Lightning Performance Estimation Due to Strikes Into Connected Overhead Lines. IEEE Trans. Power Deliv., Vol. 30, No. 4, 1752–1760.
Shonfeld, M., Gibson, D. (2018). Collaborative learning in a global world. New York: IAP.
Stefanovic, H., Petrovic, I., Savic, A., Popovic, Z., Stefanovic, M. (2012). The outage probability of multibranch selection combining over correlated weibull fading channel. Rev. Roum. des Sci. Tech. Ser. Electrotech. Energ., Vol. 57, No. 2, 192–201.
Sun, H.; Wang, X.; Wang, X. Application of Blockchain Technology in Online Education. Int. J. Emerg. Technol. Learn. 2018, Vol. 13, 252– 259.
Tsourgiannis, L., Valsamidis, S. (2019). Digital marketing in tourism: why Greek touristsuse digital marketing applications like Airbnb. Int. J. Cult. Tour. Hosp. Res, Vol. 13, No. 4, 473–486.
Turab, A., Mitrović, Z. D., Savić, A. (2021). Existence of solutions for a class of nonlinear boundary value problems on the hexasilinane graph. Adv. Differ. Equations, Vol. 2021, No. 1.
Tyan, I., Yagüe, M., Guevara-Plaza, A. (2020). Blockchain adoption in tourism: Grounded theory-based conceptual model». ARA: Journal of Tourism Research / Revista de Investigación Turística, Vol. 10, No. 1, 68- 89,
Xu, J., Li, Q., Liu, J. Lv,P., Yu, G. (2021). Leveraging cognitive diagnosis to improve peer assessment in MOOCS. IEEE Access, Vol. 9, 50466–50484.
