Mobile business

Methodology of scientific research work in the field of mobile business. Getting acquainted with the results of the latest research in the field of mobile business. Strategies, models, approaches and services in mobile business systems. Analysis of the current technological infrastructure for mobile business: 4G and 5G mobile networks. Innovative models and services within 5G mobile networks. Introduction to 6G networks: vision, challenges, key technologies and expected applications. Short-range mobile technologies. Integration of mobile and IoT technologies (intelligent edge, IoT edges). Ubiquitous computing. Context-aware systems. Taxonomy of services and mobile business applications. Analysis of mobile commerce services. Application of mobile technologies in: education, health, administration, marketing, e-commerce and other fields. Social Computing and Mobile Technology. Application of advanced mobile business technologies in payment systems: digital wallets, contactless payment, personal financial assistants. Advanced multimedia services in a mobile environment. Application of augmented and mixed realities, internet of senses. Mobile biometrics. Mobile services based on artificial intelligence. Blockchain-based mobile services.

Review and analysis of the most important references, problems and solutions in the field of mobile business. Analysis of the results of the most important projects in this area. Preparation and implementation of scientific research in the field of mobile business.

The aim of the course is to train students for independent scientific research in the field of mobile business, as well as for modeling and development of innovative e-business services based on mobile technologies.

1. B.Radenković, M.Despotović-Zrakić, Z.Bogdanović, D.Barać, A.Labus, Ž.Bojović, Internet of Intelligent Devices, ISBN: 978-86-7680-304-0; FON, Belgrade, 2017
2. B.Radenković, M.Despotović-Zrakić, Z.Bogdanović, D.Barać, A.Labus, Practicum from the Internet of Intelligent Devices, in preparation, FON, Belgrade, 2020.
3. Radenkovic, B., & Kocovic, P. (2017). From Ubiquitous Computing to the Internet of Things. In P. Kocovic, R. Behringer, M. Ramachandran, & R. Mihajlovic (Eds.), Emerging Trends and Applications of the Internet of Things (pp. 1-42). Hershey, PA: IGI Global. doi: 10.4018 / 978-1-5225-2437-3.ch001
4. Radenković, M., Bogdanović, Z., Despotović-Zrakić, M., Labus, A., & Lazarević, S. (2020). Assessing consumer readiness for participation in IoT-based demand response business models. Technological Forecasting and Social Change, Vol. 150, https://doi.org/10.1016/j.techfore.2019.119715
5. Radenković, M., Lukić, J., Despotović-Zrakić, M., Labus, A., & Bogdanović, Z. (2018). Harnessing business intelligence in smart grids: A case of the electricity market. Computers in Industry, 96, 40-53., DOI: 10.1016 / j.compind.2018.01.006, ISSN: 0166-3615
6. Vukićević, S., Đorđević, M., Glumbić, N., Bogdanović, Z. and Đurić Jovičić, M., 2019. A Demonstration Project for the Utility of Kinect-Based Educational Games to Benefit Motor Skills of Children with ASD. Perceptual and motor skills, 126 (6), pp.1117-1144
7. S. Vukićević, Z.Stamenković, S.Murugesan, Z. Bogdanović, B. Radenković, A new Telerehabilitation system based on the Internet of Things, Facta Universitatis, Series: Electronics and Energetics, vol. 29, no. 3, pp. 395-407, 2016, ISSN: 0353-3670
8. Rodić ‐ Trmčić, B., Labus, A., Barać, D., Popović, S. & Radenković, B., (2018). Designing a course for smart healthcare engineering education. Computer Applications in Engineering Education, 26 (3), pp.484-499, ISSN: 1099-0542.
9. I. Jezdović, N. Nedeljković, Z. Bogdanović, A. Labus, B. Radenković, “Smart Cities – System for monitoring Microclimate Conditions based on Crowdsensing”, In: ICETE 2017 – Proceedings of the 14th International Joint Conference on e-Business and Telecommunications, 2017, pp. 108-115, 24-26. July 2017, Madrid, ISBN 978-989-758-257-8
10. Materials in e-form, from the e-learning portal moodle.elab.fon.bg.ac.rs