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2021 | 41 | 3 | 95-114

Article title

Methodology for forecasting revenues from the sale of innovative products in the domestic tourism market

Content

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Abstracts

EN
This article presents a methodology for forecasting the expected sales of innovative tourism products in the domestic market. The principles of the product life cycle concept and consumer behavior theory are taken as starting points for calculating the sales volumes of an innovative product as well as the rate of its penetration into the market. A method of measuring the level of consumer commitment to a travel agency and its offerings is posited, and the relationship between the structure of the target market and market activity in purchasing tourist products is demonstrated. Deep market segmentation is applied to take into account the behavioral peculiarities of individual subsegments (Loyalists Market, Sympathizers Market, Qualified Market, Finders Market, Serviced Market, Possible Market, Potential Consumers Market, Perspective Market). Formulas are proposed for calculating the volume of each of the identified markets. An improved and adapted model for the tourist market (by E. Rogers and F. Bass) is used to calculate the diffusion rates of domestic tourist products. This methodology of forecasting the expected sales of innovative tourism products in the domestic market is empirically confirmed based on data on the domestic tourism market in the region of Vinnytsiya, Ukraine.

Year

Volume

41

Issue

3

Pages

95-114

Physical description

Dates

published
2021

Contributors

  • University of Finance and Law Czesława Tańskiego Street 5, 43-382 Bielsko-Biała, Poland

References

  • 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
  • Bass, F. M. (2014). Diffusion model ?stimation using adaptive nonlinear least squares: Multiple generation algorithm NL2SOL. Working Paper, Bass Economics: Glenmoor Court, Frisco.
  • 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/364
  • Global Business Travel Market Size, Trends and Insights. (2020 Edition). https://www.reportlinker.com/p05876245/Global-Business-Travel-Market-Size-TrendsandInsights-Edition.html
  • 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
  • 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
  • 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
  • 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
  • Miliutina, Yu. (2013b). Marketing innovetsiy turystychnogo pidprijemstva [Marketing of innovations of the tourist enterprise]. Avtoreferat kandydatskoyi dysertacii, Kyiv, Kyivskyy Natsionalnyy Torgovelno-Ekonomichnyy Universytet.
  • 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
  • Shulgina, L. (2005). Marketing pidpryjemstv turystychnogo biznesu: Monografiia [Marketing of tourism business enterprises: Monograph]. Kyiv, Kyivskyy Natsionalnyy Torgovelno-Ekonomichnyy Universytet,
  • Shulgina, L., & Onishchuk, N. (2016). Systema marketingu spivpraci: Teoriia, metodologiia ta praktyka. Monografiia [Cooperative marketing system: Theory, methodology and practice. Monograph]. Kyiv: "MP Lesia".
  • 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.
  • 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
  • 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/s40558-017-0101-8

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
11056136

YADDA identifier

bwmeta1.element.ojs-doi-10_2478_minib-2021-0016
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