Methods of calculating the efficiency of clusters and possible modalities for their development //Método de cálculo de la eficiencia de los clusters y posibles modalidades para su desarrollo

• Nataliia Lytvynenko Universidad del Zulia http://orcid.org/0000-0002-3030-3315
• Maryna Khmara Department of International Business of Institute of International Relations of Taras Shevchenko National University of Kyiv University http://orcid.org/0000-0002-1205-2428
• Nataliia Rylach Institute of International Relations of Taras Shevchenko National University of Kyiv University http://orcid.org/0000-0002-7200-3978
• Olga Spektor Department of International Law and Comparative Law of Kyiv International University http://orcid.org/0000-0003-3033-889X
• Serhii Orekhov Department of International Law and Comparative Law of Kyiv International University http://orcid.org/0000-0002-8388-0140

DOI: https://doi.org/10.46925//rdluz.31.08

Resumen

Abstract

The objective of the article is to analyze the method of calculating the efficiency of high-tech clusters and alternative models of their development. Method. The methodological basis of the study is a series of general and specific cognition methods. In the research process, the following were used: the formal-logical method, the system and the structural, comparative-legal, logical-legal and other scientific research methods. Results of the investigation. Four groups of efficiency indicators of the organizational and economic regulation mechanism of the administrative activity of a business cluster are defined. The difference between traditional industrial clusters and innovation clusters is considered. Examples of successful cluster operation in some countries around the world are studied. Practical meaning. It is emphasized that the efficiency of the cluster, and therefore its development, is significantly influenced by the availability of scientific potential and activity of research institutes, as well as access to non-reimbursable funds (institutions, agencies) and the operation of technology parks. Value / originality. It is observed that due to globalization, the role of clusters in competition is increasingly important. In this context, the forms of cluster development in Ukraine were proposed, as well as examples of successful clusters in Ukraine were considered.

Resumen

El objetivo del artículo es analizar el método de cálculo de la eficiencia de los clusters de alta tecnología y modelos alternativos de su desarrollo. Método. La base metodológica del estudio es una serie de métodos de cognición generales y específicos. En el proceso de investigación se utilizaron: el método formal-lógico, el sistema y los métodos de investigación científica estructural, comparativo-legal, lógico-legal y otros. Resultados de la investigacion. Se definen cuatro grupos de indicadores de eficiencia del mecanismo organizativo y económico de regulación de la actividad administrativa de un clúster empresarial. Se considera la diferencia entre los clústeres industriales tradicionales y los clústeres de innovación. Se estudian ejemplos de funcionamiento exitoso de clústeres en algunos países del mundo. Significado práctico. Se enfatiza que la eficiencia del clúster, y por ende su desarrollo, está significativamente influenciado por la disponibilidad de potencial científico y actividad de los institutos de investigación, así como el acceso a fondos no reembolsables (instituciones, agencias) y la operación de parques tecnológicos. Valor / originalidad. Se observa que debido a la globalización, el papel de los clústeres en la competencia es cada vez más importante. En este contexto, se propusieron las formas de desarrollo de clústeres en Ucrania, así como se consideraron ejemplos de clústeres exitosos en Ucrania.

Citas

Boyko, Tetiana (2011). “Methodological approach to evaluating organizational and economic mechanism’s effectiveness of the entrepreneurial cluster’s management regulation” In: Bulletin of Zaporizhia National University, Num. 1 (9), pp. 15 – 21.

Danilov, S., Lukyanova, M., & Aryabkina, I. (2020). Methodological and practical aspects of pedagogical innovation logistics application in the regional educational holding. Amazonia Investiga, 9(28), 30-41. https://doi.org/10.34069/AI/2020.28.04.4

Dvorkind, Anton (2004). Clustering as a promising direction of economic development of the region (On the example of the Samara region). PhD. Samara State Economic Academy.

Gorbunov, A., Kolyadin, A., Burnyasheva, L., Gazgireeva, L., & Kosenko, O. (2018). Tourist and recreational clusters as organizational and economic mechanism of control of formation and development of innovative capacity of the North Caucasus Federal District. Amazonia Investiga, 7(17), 60-71. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/326

Horodova, Iryna (2012). “Prospects for the development of industrial clusters in the competitiveness of regions” In: Economics and environmental management, Num. 1, pp. 152 – 155.

Ihnatiev, Stanislav (2017). “Who needs clusters in Ukraine?” In: HB Business. Available online. In: https://nv.ua/ukr/biz/experts/komu-potribni-klasteri-v-ukrajini-1275343.html. Date of consultation: 25/05/2020.

Kiryk, Mykola (2014). “Clustering in the strategy of innovative development of foreign countries” In Scientific Bulletin of Kherson State University, Series “Economic sciences”, Issue 6 (1), pp. 78 – 83.

Lienchuk, Yelena and Vlaskin, Herman (2010). “Cluster approach in the strategy of innovative development of foreign countries” In: Studies on Russian Economic Development, Issue 5, 38 – 51.

Mlynskii, Viacheslav (2018). Cluster approach in Economy. Business Zavarnik Convergent media. Available online. In: http://zavarnik.biz/klasternyj-podxod-v-ekonomike. Date of consultation: 25/05/2020.

Novikov, S., & Prosvirina, N. (2019). Сlusters classification in the modern innovation economy. Amazonia Investiga, 8 (19), 620-630. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/277

Patil, Channamma and Baidari, Iswar. 2019. “Estimating the Optimal Number of Clusters k in a Dataset Using Data Depth” In: Data Science and Engineering, Num. 4, pp. 132–140, doi: https://doi.org/10.1007/s41019-019-0091-y

Popelo, Olha (2014). “Entrepreneurial clusters as an innovative dominant of regional economy modernization” In: Regional Economy, Num. 2, pp. 95 – 105.

Popov, Havryil (1976). The assessment of management workers. Moskow: Moskow worker.

Porter, Michael E. (2013). “Location, Competition and Economic Development: Local Clusters in a Global Economy” In: Economic Development Quarterly 14, Num. 1, pp. 15–34.

Prokhorova, Viktoriya V.; Artemova, Elena I.; Miroshnichenko, Marina B.; Rafaelovna, Avanesova Rita; Mausurovna, Chazhaeva Maynat (2020). Cluster Technology as a basis for the competitive development of industries in Russia, Revista de la Universidad del Zulia, 11 (29), 265-275, DOI: http://dx.doi.org/10.46925//rdluz.29.17

Razminienė, Kristina, Tvaronaviciene, Manuela and Zemlickienė, Vaidan (2016). “Evaluation of cluster efficiency measurement tool” In: Terra economicus, Num. 14, pp. 101-111, doi: 10.18522/2073-6606-2016-14-3-101-111.

Schwab, Klaus (2014). The Global Competitiveness Report 2014 – 2015. World Economic Forum. Available online. In: http://www.weforum.org/reports/globalcompetitiveness-report-2014-2015. Date of consultation: 25/05/2020.

Tapas Kanungo, Mount, David M., Netanyahu, Nathan S., Piatko, Christine D., Silverman, Ruth and Wu, Angela Y. (2002). “An efficient k-means clustering algorithm: analysis and implementation” In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, Num. 7, pp. 881-892, doi: 10.1109/TPAMI.2002.1017616.

Vorozhbit, O., Titova, N., Kuzmicheva, I., & Borovitskaya, M. (2018). Development of competitive advantage evaluation technique for industrial clusters on the basis of m. porter’s national competitiveness model "Rhombus" transformation. Amazonia Investiga, 7(13), 308-321. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/562