INNOVATION INFRASTRUCTURE AS A FOUNDATION FOR BUSINESS PROCESS DEVELOPMENT

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Published: May 23, 2023

  Tetiana Stroiko

  Iryna Rekhteta

  Vitaly Burkun

Abstract

Innovation infrastructure is most often associated with research activities and high-tech production. From a strategic point of view, innovation infrastructure ensures the process of realization of new or improved products, processes or production methods, thus creating the basis for highly efficient activities. In this sense, the formation of innovative infrastructure is extremely important for Ukraine as a basis for the development of high-tech industries and increasing the efficiency of business processes. Methodology. The article presents the authors' method of calculating the formation of innovation infrastructure as a basis for the development of effective business processes. According to it, it is a set of objects that create conditions for innovation and the presence of such objects can conclude the formation of innovation infrastructure. The proposed methodological approach consists of three blocks, including target block, preparation unit, evaluation and diagnostic unit. In this case the object of evaluation is innovation infrastructure. Therefore, the evaluation process should determine the level of innovation infrastructure formation. Results. On the basis of the scores of the indicators of formation of innovation infrastructure, on the one hand, it is proposed to determine a generalized score of formation of innovation infrastructure by oblasts, and on the other – an integrated specific score by provision of its facilities. Thus, the main indicators for assessing the formation of innovation infrastructure are the number of technology parks, the number of industrial parks, the number of science parks, the number of business incubators, the number of innovation centers, the number of free economic zones (with intellectual property units), the number of regional science centers. The correspondence of separate objects of innovation infrastructure with the stages of innovation process provided by them is given. It is determined that technology parks provide generation, transfer and development of knowledge, innovation centers – generation and transfer of knowledge, business incubators – acquisition and use of knowledge. Taking into account this comparative characteristic, the weight coefficients of each object of innovation infrastructure are determined. On the basis of concretization, the average score of formation of innovation infrastructure in oblasts is determined, which corresponds to the integrated score of formation of innovation infrastructure of Ukraine. Practical implications. The rating of the effectiveness of innovation infrastructure by oblasts was calculated. The top five leaders are: Kharkiv, Zaporizhzhia, Lviv, Dnipro, and Kyiv Oblasts and the city of Kyiv itself. The efficiency rating of the leading oblasts almost completely coincides with the indicator of innovation infrastructure development, with the exception of Donetsk Oblast, which has a better indicator of development than efficiency, and Zaporizhzhia Oblast, on the contrary, has an efficient infrastructure despite its low development.

How to Cite

Stroiko, T., Rekhteta, I., & Burkun, V. (2023). INNOVATION INFRASTRUCTURE AS A FOUNDATION FOR BUSINESS PROCESS DEVELOPMENT. Baltic Journal of Economic Studies, 9(2), 201-210. https://doi.org/10.30525/2256-0742/2023-9-2-201-210
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Keywords

innovations, innovation infrastructure, innovation process, business processes, research base, technology parks

References

Christ, J. (2012). Innovative Places, Research Clustering and Co-Agglomeration in Europe. In Innovative Places in Europe: Research Clustering, Co-Patenting Networks and the Growth of Oblasts (pp. 117–218)

Colombelli, A., Krafft, J., & Vivarelli, M. (2016). To be born is not enough: The key role of innovative start-ups. Small Business Economics, vol. 47 (2), pp. 277–291. Available at: http://www.jstor.org/stable/43895737

Ghio, N., Guerini, M., & Rossi-Lamastra, C. (2016). University knowledge and the creation of innovative start-ups: An analysis of the Italian case. Small Business Economics, vol. 47 (2), pp. 293–311.

Hammer, M. (2007) Reengineering of the corporation: Manifesto of revolution in business. Moscow: Mann, Ivanov and Ferber, 288 p.

Harrington, E. (1965) The Desirability Function. Industrial Quality Control, pp. 494–498.

Leitner, S., & Stehrer, R. (2016). R&D and non-R&D innovators during the global financial crisis: the role of binding credit constraints. Latin American Journal of Economics, vol. 53 (1), pp. 1–38. Available at: http://www.jstor.org/stable/90003531

Lyutyk, T. (2016) Harrington's desirability function as a tool for integrated assessment of innovation and scientific-technological components of economic potential. History of science and biography, vol. 4. Available at: http://nbuv.gov.ua/UJRN/INB_Title_2016_4_11

Nazarenko, I. (2013). Development of innovation infrastructure of Kharkiv oblast. Bulletin of Khmelnytsky National University. Economic sciences, vol. 3 (2), pp. 113–117. Available at: http://nbuv.gov.ua/UJRN/Vchnu_ekon_2013_3%282%29__26

Stroiko, T., & Bondar, V. (2017). Transport infrastructure of Ukraine: the modern realities and development prospects. Baltic Journal of Economic Studies, vol. 3, no. 2, pp. 141–146. DOI: https://doi.org/10.30525/2256-0742/2017-3-2-141-146

Usmanova, M. (2016). Theoretical principles of innovation infrastructure formation in Ukraine. Bulletin of the Eastern European University of Economics and Management. Series: Economics and Management, vol. 1, pp. 74–84. Available at: http://nbuv.gov.ua/UJRN/Vsuem_2016_1_11

Vinogradova, O. (2005) Business process reengineering in modern management: monograph. Donetsk: DonDUET them. M. Tugan-Baranovsky,(195 p.

Voloshchuk, R., & Stepashko, V. (2014). Nonlinear normalization of statistical indicators for the problem of constructing integral indices. Inductive modeling of complex systems, vol. 6, pp. 47–54. Available at: http://dspace.nbuv.gov.ua/handle/123456789/83993

Wei, S., Xie, Z., & Zhang, X. (2017). From "Made in China" to "Innovated in China": Necessity, Prospect, and Challenges. The Journal of Economic Perspectives, vol. 31 (1), pp. 49–70. Available at: http://www.jstor.org/stable/44133950

Zhuk, M. (2015). Ensuring the functioning of innovation infrastructure in terms of deepening integration. Efficiency of public administration, vol. 44, pp. 64–72.