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Methodology for Forecasting Revenues from the Sale of Innovative Products in the Domestic Tourism Market

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1. Balashova, R., Ivchenko, L. (2011). Metodychni zasady analizu ta prognozuvannia rynku turystychnyck posług v Ukraini z vykorystanniam matematychnogo modeliuvannia [Methodical bases of analysis and forecasting of the market of tourist services in Ukraine with use of mathematical modeling]. Ekonomika, 3(110), 3–9. http://dspace.nbuv.gov.ua/bitstream/handle/123456789/33699/01-Balashova.pdf Search in Google Scholar

2. Bass, F. M. (2014). Diffusion model ?stimation using adaptive nonlinear least squares: Multiple generation algorithm NL2SOL. Working Paper, Bass Economics: Glenmoor Court, Frisco. Search in Google Scholar

3. Dedu, V. K., & Saforo, F. K., (2016). Prediction of stock performance on the Ghana stock exchange using financial ratios: A logistic regression approach. International Journal of Scientific Research and Management, 4(6). https://ijsrm.in/index.php/ijsrm/article/view/36410.18535/ijsrm/v4i6.13 Search in Google Scholar

4. Global Business Travel Market Size, Trends and Insights. (2020 Edition). https://www.reportlinker.com/p05876245/Global-Business-Travel-Market-Size-Trends-and-Insights-Edition.html Search in Google Scholar

5. GUS (2014, 2015, 2016, 2019). Golovne upravlinnia statystyky u Vinnytskiy oblasti. [Main Department of Statistics in Vinnytsia Region. Official website]. http://www.vn.ukrstat.gov.ua/index.php Search in Google Scholar

6. Husain, S., Ghufran, A., & Chaubey, D. (2016). Customers’ behavior towards social media marketing: An empirical study. ZENITH International Journal of Business Economics & Management Research, 6(8), 58–68. http://www.indianjournals.com/ijor.aspx?target=ijor:zijbemr&volume=6&issue=8&article=007 Search in Google Scholar

7. Kirkova, N. P. (2014). Prognozuvannia osnovnyck tendenciy rozvytku turystychnoyi galuzi Ukrainy [Prediction of major trends of the tourism industry developments in Ukraine]. Efektyvna Ekonomika, 7. http://www.economy.nayka.com.ua/?op=1&z=3197 Search in Google Scholar

8. Miliutina, Yu. (2013a). Prognozuvannia tempiv ta obsiagiv vyvedenia na rynok innovacijnogo turystychnogo produktu [Forecasting the rate and volume of innovative tourist product introduction to the market]. Naukovi Studii, 21(2), 652–666, https://elibrary.ru/item.asp?id=24292105 Search in Google Scholar

9. Miliutina, Yu. (2013b). Marketing innovetsiy turystychnogo pidprijemstva [Marketing of innovations of the tourist enterprise]. Avtoreferat kandydatskoyi dysertacii, Kyiv, Kyivskyy Natsionalnyy Torgovelno-Ekonomichnyy Universytet. Search in Google Scholar

10. Motrynchuk, O. (2014). Metod Kano jak odyn z instrumentiv otsinky stupenia zadovolenosti spozhyvacha [The Kano method as one of the tools for assessing the degree of consumer satisfaction]. http:/www.irbis-nbuv.gov.ua Search in Google Scholar

11. Shulgina, L. (2005). Marketing pidpryjemstv turystychnogo biznesu: Monografiia [Marketing of tourism business enterprises: Monograph]. Kyiv, Kyivskyy Natsionalnyy Torgovelno-Ekonomichnyy Universytet, Search in Google Scholar

12. Shulgina, L., & Onishchuk, N. (2016). Systema marketingu spivpraci: Teoriia, metodologiia ta praktyka. Monografiia [Cooperative marketing system: Theory, methodology and practice. Monograph]. Kyiv: “MP Lesia”. Search in Google Scholar

13. Szulgina, L., & Miliutina, Ju. (2014). Issledovanie innovatsyonnykh marketingovykh instrumentov [Researching innovative marketing tools]. In I. Dudzik-Lewicka, H. Howaniec, J. Klisiński, W. Waszkielewicz (Eds.) Potencjał intelektualny i innowacyjny w zarządzaniu organizacją (Chapter 6, pp. 49–67). Bielsko-Biała: Wydawnictwo Naukowe Akademii Techniczno-Humanistycznej. Search in Google Scholar

14. Vinnitsia City Council. (2019). Tourism — Analityka ta statystyka galuzi turyzmu. Vinnytska mis’ka rada. Ofitsijnyy veb-sait. [Tourism — Analytics and statistics in the field of tourism. Vinnytsia City Council. Official website]. https://www.vmr.gov.ua/Branches/Lists/Tourism/ShowContent.aspx?ID=2 Search in Google Scholar

15. Wozniak, T., Schaffner, D., Stanoevska-Slabeva, K., & Lenz-Kesekamp, V. (2018). Psychological antecedents of mobile consumer behaviour and implications for customer journeys in tourism. Information Technology & Tourism, 18, 85–112. https://link.springer.com/article/10.1007/s40558-017-0101-810.1007/s40558-017-0101-8 Search in Google Scholar