Demand Forecast of NFC Mobile Users – A Case Study of Serbian Market

Pal, D., Vanijja, V., Papasratorn, B. An Empirical Analysis towards the Adoption of NFC Mobile Payment System by the End User. Procedia Computer Science. 2015; 13 – 25.

Slade, E. L., Williams, M. D., Dwivedi, Y. K. Extending UTAUT2 to explore consumer adoption of mobile payments. In Proceedings of the Uk academy for information systems conference. Oxford, 2013

Amoroso, D.L., Magnier-Watanabe, R. Building a research model for mobile wallet consumer adoption: the case of mobile suica in Japan. J. Theor. Appl. Electron. Commer. Res. (2012); 94-110.

Dahlberg, T., Guo, J., Ondrus, J. A critical review of mobile payment research. Electronic Commerce Research and Applications. 14(5), 2015; 265-284.

Oliveira, T., Thomas, M., Baptista, G., Campos, F. Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior. 2016; 404-414.

Ooi, K. and Wei-Han Tan, G. Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card. Expert Systems with Applications. 2016; 33–46.

Leong, L., Hew, T., Wei-Han Tan, G., Ooi, K. Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications. 2013; 5604–5620.

Pham, T.T., Ho, J. The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society. 2015; 159-172.

RATEL. An Overview of the Telecom and Postal Services Market in the Republic of Serbia in 2014, http://www.ratel.rs/upload/documents/Pregled_trzista/rate-pregled-trzista-za-2014-ENGLESKI-web.pdf, 2014

Ortiz, C. E. An Introduction to Near-Field Communication and the Contactless Communication API. 2008. Available at: http://java.sun.com/developer/technicalArticles/javame/nfc/ (Accessed 22 October 2011)

Ecma International (2010). Standard ECMA-352, Near Field Communication Interface and Protocol-2-2, Geneve. Available from http://www.ecmainternational.org/publications/files/ECMA-ST/Ecma-352.pdf

Madlmayr, G., Langer J. and Scharinger, J. Managing an NFC Ecosystem. Proceedings of 7th International Conference on Mobile Business 2008 (ICMB 2008), Barcelona, 2008; 95-101.

The Java Community Process. [online] Available at http://www.jcp.org /en/jsr/detail?id=257 (Accessed 09 November 2015)

Au, Y.A. and Kauffman, R.J. The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications. Vol. 7, No. 2, 2008; 141-164.

Rukzio, E., Schmidt, A. and Hussmann, H. Physical Posters as Gateways to Context-aware Services for Mobile Devices. Sixth IEEE Workshop on Mobile Computing Systems and Applications (WMCSA 2004). English Lake District, UK, 2004

Dahlberg, T., Mallat, N., Ondrus, J., Zmijewska, A. Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications. Vol.7, No.2, 2008; 165-181.

Madureira, A. Factors that hinder the success of SIM-based mobile NFC service deployments. Telematics and Informatics. 2017; 133–150.

Tagawa, K. NFC: The Evolution Continues, NFC Forum, WIMA Monaco. Paper Presented at the 5th Global NFC Applications Products & Service Congres. 19-21 April 2011. Monaco

NFC Forum. [online] Available at http://www.NFC forum.org. (Accessed 06 November 2015)

Hassinen, M. Utilizing national public-key infrastructure in mobile payment systems. Electronic Commerce Research and Applications. Vol. 7, No.2, 2008; 214-231.

NXP Semiconductors. [online] Available at http://www.nxp.com/ (Accessed 28 October 2015)

Zadeh, L.A. Fuzzy sets. Information and Control. Vol. 8, 1965; 338-353.

Mamdani, E.H. Advances in the linguistic synthesis of fuzzy controllers. In: Mamdani E.H. and B.R. Gaines (Eds.), Fuzzy Reasoning and Applications. Academic Press, London, 1981

Mamdani, E.H. and Assilian, S. Experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, Vol. 7, 1975; 1-13.

Tettamanzi, A., Carlesi, M., Pannese, L. and Santalmasi, M. Business Intelligence for Strategic Marketing: Predictive Modelling of Customer Behaviour Using Fuzzy Logic and Evolutionary Algorithms. Applications of Evolutionary Computing. Vol. 4448, 2007; 233-240.

Escoda, A., Ortega, A., Sanz, A., and Herms, A. Demand forecast by neuro-fuzzy techniques. Proceedings of the Sixth IEEE International Conference, 1997; 1381 – 1386.

Guiffrida, I. and Nagi, R. Fuzzy set theory applications in production management research: a literature survey. Journal of Intelligent Manufacturing. Vol. 9, 1998; 39-56.

Radojičić, V., Marković, G. and Bakmaz, B. New Diffusion Model with Variable Market Potential. Proceedings of 10th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS). Niš, 2011; 637-640

Bass, F. A New Product Growth Model for Consumer Durables. Management Science. Vol. 15, No.1, 1969; 215-227.

Mahajan, V. and Peterson, R. Models for Innovation Diffusion. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-004, Newbury Park, CA: Sage, 1985

Meade, N., Islam, T. Modelling and forecasting the diffusion innovation – A 25-year review. International Journal of Forecasting. 2006; 519– 545.

Kim, N., Chang, D.R. and Shocker, A.D. Modelling intercategory and generational dynamic for a growing information technology industry. Management Science. Vol. 46, No. 4, 2000; 496-512.

Mahajan, V. and Muller, E. Timing, diffusion, and substitution of successive generations of technological innovations: The IBM mainframe case. Technological Forecasting and Social Change. Vol. 51, No. 2, 1996; 109-132.

Norton, J.A. and Bass, F.M. Evolution of Technological Generations: The Law of Capture. Sloan Management Review. Vol. 33, 1992; 66-77.

Pae, J.H. and Lehmann, D.R. Multigeneration innovation diffusion: The impact of intergeneration time. Journal of the Academy of Marketing Science. Vol. 31, No.1, 2003; 36-45.

Dereli, T., Durmusoglu, A., Daim, T. Buyer/seller collaboration through measurement of beliefs on innovativeness of products. Computers in Industry. 62 (2011), 2011; 205-212.

Norton, J.A. and Bass, F.M. A Diffusion Theory Model of Adoption and Supstitution for Successive Generations of High Technology product. Management Science. Vol. 33, 1987; 1069-1086.

Chidembo, N. Exploring consumer adoption of NFC-enabled mobile payments in South Africa. Published master thesis, University of Pretoria, South Africa, 2009.

Madlmayr, G., Langer, J., Kantner, C., Scharinger, J. NFC devices: Security and privacy. In The third international conference on availability, reliability and security. Barcelona, 2008; 642–647.

Green, K., Armstrong, S. and Graefe, A. Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared. The International Journal of Applied Forecasting. Vol. 8, 2007; 17-20.

Radojičić, V., Marković, G., Janković, M. and Drašković, B. Broadband Traffic Forecasting in the Transport Network. Promet – Traffic&Transportation. Vol. 24, No. 4, 2012; pp. 275-284

Radojičić, V. and Bakmaz, B. Primena kvantitativnih metoda prognoziranja u telekomunikacijama. University of Belgrade, Faculty for Transport and Traffic Engineering. Belgrade. 2010. Serbian

Satoh, D. A Discrete Bass Model and its Parameter Estimation. Journal of the Operations Research. Society of Japan, Vol. 44, No. 1, 2001; 1-18.

RATEL. An Overview of the Telecom and Postal Services Market in the Republic of Serbia in 2015, http://www.ratel.rs/regulativa/analize_trzista.539.html, 2015

Lewis, C. D. International and Business Forecasting Methods, London: Butterworths, 1982

Montgomery, D. C.; Peck, E. A. and Vining, G. G. Introduction to Linear Regression Analysis. 3rd Edition, New York, New York: John Wiley & Sons, 2001