Cost evaluation models of R&D products of industrial enterprises
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- Category: Contens №5 2020
- Last Updated on 31 October 2020
- Published on 30 October 2020
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Authors:
H. M. Pylypenko, orcid.org/0000-0003-2091-4320, Dnipro University of Technology, Dnipro, Ukraine, e‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. V. Prokhorova, orcid.org/0000-0003-2552-2131, Ukrainian Engineering Pedagogics Academy, Kharkiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O. B. Mrykhina, orcid.org/0000-0002-0567-2995, Lviv Polytechnic National University, Lviv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O. Ya. Koleshchuk, orcid.org/0000-0001-8995-5206, Lviv Polytechnic National University, Lviv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
S. A. Mushnykova, orcid.org/0000-0002-3860-522X, National Metallurgical Academy of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2020, (5): 163-170
https://doi.org/10.33271/nvngu/2020-5/163
Abstract:
Purpose. To develop a pricing model for R&D products of industrial enterprises that would meet the changing conditions of the market environment.
Methodology. The research was based on a set of methods, including comparative analysis, which was used to compare existing approaches to pricing for R&D products; Mamdani algorithm of fuzzy set theory to develop a methodology for forming the price of R&D products taking into account their consumer value and market receptivity; matrix method – to determine the level of the average market price for R&D products.
Findings. The existing methodological approaches to pricing in the market of R&D products of industrial enterprises are analyzed; their advantages and limitations are highlighted. A methodology for pricing R&D products has been developed which allows us to take into account their consumer value and market receptivity. The matrix method for determining the level of the average market price for R&D product is explained. Based on the authors’ approach, comparison of the prices of R&D products with the prices of their market counterparts was conducted. The probability level of the obtained results is estimated using the example of R&D products of LLC “Diada Group”.
Originality. A model of pricing for R&D products is developed. It is based on the methodology of forming the price of R&D product taking into account its consumer value and market receptivity, the matrix method for forming the average market price of R&D products, and the approach to comparing the obtained showings with the prices of market analogs. In contrast to the well-known ones, such a comprehensive approach allows us to achieve a higher level of price accuracy, since a set of heterogeneous features of factors influencing the price of R&D product is taken into account (by developing a correction factor based on the Mamdani algorithm of fuzzy set theory). The approach to the formation of features of factors influencing the price of R&D product makes it possible to maneuver the composition of R&D product features.
Practical value. The authors’ pricing model for R&D products was tested at LLC “Diada Group” and demonstrated high possibilities to improve the accuracy of price formation in the reality of changing market. Being a fairly flexible pricing tool, this model can be applied in the practical activities of enterprises in various sectors of the economy.
References.
1. Schwab, K. (2019). The Global Competitiveness Report 2019. Switzerland: World Economic Forum. Retrieved from http://www3.weforum.org/docs/WEF_TheGlobalCompetitivenessReport2019.pdf.
2. IVSC (2020). International Valuation Standarts 2020. Retrieved from https://www.ivsc.org/files/file/view/id/1601.
3. TEGOVA (2020). European Valuation Standards 2020. Retrieved from https://www.tegova.org/en/p4912ae3909e49.
4. Borgs, C., Chayes, J., Chickering, D., Feige, U., Mahdian, M., Meek, C., & Saberi, A. (2015). Price determination for items of low demand. Retrieved from https://portal.unifiedpatents.com/patents/patent/US-7627515-B2.
5. Morenoa, S., & Epstein, D. (2019). The price of innovation – the role of drug pricing in financing pharmaceutical innovation. A conceptual framework Journal of market access & health policy, 2, 1-8. https://doi.org/10.1080/20016689.2019.1583536.
6. Chwastyk, P., & Kolosowski, M. (2014). Estimating the Cost of the New Product in Development Process. Procedia Engineering, 69, 351-360. https://doi.org/10.1016/j.proeng.2014.02.243.
7. Barillas, F., & Shanken, J. (2018). Comparing asset pricing models. The Journal of Finance, 73(2), 715-754. https://doi.org/10.1111/jofi.12607.
8. Matushevska, O. A., & Katkova, N. V. (2017). Scientific and methodical approaches to forming the mechanism for ensuring the economic sustainability of industrial enterprises. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (5), 123-131.
9. Kiselakova, D., Sofrankova, B., Cabinova, V., Onuferova, E., & Soltesova, J. (2018). The Impact of R&D Expenditure on the Development of Global Competitiveness within the CEE EU Countries. Journal of Competitiveness, 10(3), 34-50. https://doi.org/10.7441/joc.2018.03.03.
10. Wang, M. Y. (2016). The valuation methods and applications for academic technologies in Taiwan. In 2016 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE, (pp. 1320-1327). Honolulu, HI, USA. https://doi.org/10.1109/PICMET.2016.7806739.
11. Pylypenko, H., Fedorova, N., Hyzenko, I., & Naumenko, N. (2020). Paradoxes of Economic Development: Science and Innovation in the Modern World. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (2), 153-159. https://doi.org/10.33271/nvngu/2020-2/153.
12. Prokhorova, V., Korzh, R., Mrykhina, O., Koleshchuk, O., & Mirkunova, T. (2019). Evaluation of Innovative Technologies in Conditions of the Digital Economics. International Journal of Recent Technology and Engineering (IJRTE), 8(3C), 230-236. https://doi.org/10.35940/ijrte.C1039.1183C19.
13. Prokhorova, V., Korzh, R., Mrykhina, O., Koleshchuk, O., & Mirkunova, T. (2020). Innovative Technologies Under Digital Economics Conditions. International Journal of Advanced Science and Technology, 29(8s), 2504-2510.
14. Verkhovna Rada of Ukraine. Legislation of Ukraine (n.d.). Resolution of the Cabinet of Ministers of Ukraine “On approval of the National standard No. 4 “Assessment of property rights of intellectual property” dated 03.10.2007 No. 1185. Retrieved from https://zakon.rada.gov.ua/laws/show/1185-2007-%D0%BF#Text.
15. State websites of Ukraine (n.d.). Decree of the State Property Fund of Ukraine “On approval of the Methodology for assessing property rights of intellectual property” dated 25.06.2008 No. 740. Retrieved from https://zakon.rada.gov.ua/laws/show/z0726-08#Text.
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