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IPS236 Ksenija D. et al.
            References
            1.  CB (2017). Consumer Barometer with Google
                 https://www.consumerbarometer.com/en/about/ (Accessed 18 March
                 2019)
            2.  Dumičić, K., Čeh Časni, A. & Žmuk, B. (2015). Internet Purchases by
                 Individuals: Clusters of the Most vs the Least Developed European
                 Countries. Int. J. Inf. Tech. Decis., 18, 1–9.
            3.  Dumičić, K., Skoko Bonić, I. & Žmuk, B. (2018). Statistical analysis of the
                 development indicators’ impacts on e-commerce of individuals in
                 selected European countries. Our economy, 64(2), 15–24.
            4.  Dumičić, K., Žmuk, B. & Čeh Časni, A. (2015). Impacts on travel and
                 holiday accommodation online booking in selected South-East European
                 countries: a multivariate analysis approach. Croat. Oper. Res. Rev., 6(1),
                 155–168.
            5.  Dumičić, K., Žmuk, B. & Mihajlović, I. (2017). Profile analysis of clustered
                 European countries based on selected variables impacting the e-
                 commerce realized by individuals. In ISI World Statistics Congress-WSC,
                 ISI2017. In press.
            6.  Dumičić, K., Žmuk, B. & Novkovska, B. (2017). Regression analysis of e-
                 commerce: focusing the selected EU candidates and the EU countries.
                 Knowledge and business challenge of globalisation in 2017: conference
                 proceedings of the 7th international scientific conference. Celje,
                 Slovenia, November 17, 2017. FKPV, 156–164, CD. Electronic ISBN: 978-
                 961-6997-04-1.
            7.  Dumičić, K.,  Čeh Časni, A. & Palić, I. (2015). Multivariate analysis of
                 determinants of Internet banking use in European Union countries. Cent.
                 Eur. J. Oper. Res., 23(3), 563–578.
            8.  Eurostat (2019). https://ec.europa.eu/eurostat/ (Accessed 20 May 2019)
                 FENStatS (2019). FENStatS News. http://www.fenstats.eu/news (Accessed
                 20 May 2019).
                                                                  rd
            9.  Field, A. (2011). Discovering statistics using SPSS, 3  Ed. London: Sage.
            10.  Gujaraty D. N. & Porter D.C. (2010). Essentials of Econometrics 4  Ed.,
                                                                              th
                 Irwin: McGraw-Hill.
            11.  Hair F.H., Black W.C., Babin B.J., & Anderson R.E. (2008). Multivariate Data
                           th
                 Analysis. 7  Ed., Upper Saddle River, NJ: Prentice Hall.
            12.  Nagy, S. (2016). E-commerce in Hungary: A Market Analysis. Club of
                 Economics in Miskolc TMP, 12(2), 25-32.
            13.  Nagy, S. (2017). Digital economy and society–a cross country
                 comparison of Hungary and Ukraine. arXiv preprint arXiv:1901.00283.
                 Žmuk, B., Dumičić, K. & Mihajlović, I. (2014). On–line booking use for
                 travel and holiday accommodation and development indicators:
                 Clustering of European countries. Proceedings of 7th International

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