Mechanism of effective formation of income of staff of the enterprise
DOI:
https://doi.org/10.51599/are.2019.05.04.04Keywords:
mechanism, staff income, cluster analysis.Abstract
Purpose. The purpose of the article was to investigate the efficiency of income generation of staff of agricultural products processing enterprises in Zhytomyr region by applying cluster analysis. To meet the goal, the following tasks were set: to define the essence of the «mechanism of formation», to adapt this concept to the income of staff, to group the producers of processing agricultural products by various factors for carrying out factor analysis and to draw up appropriate conclusions.
Methodology / approach. Theoretical and methodological basis of scientific research were the works of domestic and foreign scientists on the mechanism of income generation of employees of the enterprise. The following methods of scientific research were used to solve these tasks: analysis and synthesis; statistical and economic; cluster analysis; generalization and idealization.
Results. The results of the cluster analysis made it possible to determine the competitive position of each analyzed enterprise depending on which cluster it belonged to. In addition, the clustering of enterprises helped to determine the benefits of generating staff income more precisely as it was based on relative indicators. The use of methodological provisions of conduction of the cluster analysis of the mechanism of formation of income of the personnel of enterprises promoted the implementation of methods of qualitative strategic management in order to gain competitive advantages in the field of agricultural products processing, and also enabled the top management of the enterprise to ensure the optimal structure of staff income and, thus, to solve the perspective and current tasks of enterprise financial results distribution and expenses formation.
Originality / scientific novelty was in the sphere of formation of the algorithm for conducting a cluster analysis of the formation of enterprise staff income and in development of recommendations for implementing such a mechanism for agricultural products enterprises in Zhytomyr region.
Practical value / implications. The clustering of agricultural products enterprises in Zhytomyr region makes it possible to expand the inter-firm flow of ideas and information on the optimal formation of staff income.
References
Список використаних джерел
Бірюченко С. Ю. Механізм формування оптимального складу доходів персоналу підприємств. Вісник Житомирського державного технологічного університету. Економічні науки. 2008. № 3(45). С. 219–229.
Fan M., Pena A. A., Perloff J. M. Effects of the Great Recession on the U.S. Agricultural Labor Market. American Journal of Agricultural Economics. 2016. Vol. 98. Is. 4. Pp. 1146–1157. https://doi.org/10.1093/ajae/aaw023.
Charlton, D. and Taylor, J. E. A Declining Farm Workforce: Analysis of Panel Data from Rural Mexico. American Journal of Agricultural Economics. 2016. Vol. 98. Is. 4. Pp. 1158–1180. https://doi.org/10.1093/ajae/aaw018.
Betáková J., Haviernikova K., Jašková D., Hagara V., Zeman R. Potential for clustering in the agricultural sector assessment: the case of Slovakia. Economic Annals-XXI. 2017. Vol. 167. Is. 9-10. Pp. 23–27. https://doi.org/10.21003/ea.V167-05.
Ігнашкіна Т. Б., Шура Н. О. Формування галузевих кластерів промислових підприємств Дніпропетровської області з метою аналізу відтворювальних процесів. Бізнес Інформ. 2011. № 7. Т. 2. С. 23–30.
Войнаренко М. Концепція кластерів – шлях до відродження виробництва на регіональному рівні. Економіст. 2000. № 1. С. 12–15.
Пістунов І. М., Антонюк О. П., Турчанінова І. Ю. Кластерний аналіз в економіці: навч. посіб. Дніпропетровськ: Національний гірничий університет. 2008. 84 с.
Параниця Н. В. Статистичний та регресійний аналіз соціально-економічних явищ регіонів України. Management of modern socio-economic systems. Vol. 2. Lithuania: Izdevnieciba «Baltija Publishing», 2017. С. 79–92.
Педченко Г. П. Регіональний статистичний аналіз підприємництва в Україні. Соціально-економічні проблеми розвитку бізнесу та місцевого самоврядування: тези доповідей ІІ міжнародної науково-практичної конференції ТДАТУ (13–14 червня 2019 р.). URL: http://elar.tsatu.edu.ua/handle/123456789/8138.
Everitt B. S., Landau S., Leese M. Cluster Analysis. 5nd ed., John Wiley & Sons, 2011. 360 p.
Орлова-Курилова О. В. Інноваційний кластер як органічний елемент національної економіки. Актуальні проблеми економіки. 2019. № 9(219). С. 59–66. https://doi.org/10.32752/1993-6788-2019-1-219-59-66.
Melnyk M., Korcelli-Olejniczak E., Chorna N., Popadynets N. Development of regional IT clusters in Ukraine: institutional and investment dimensions. Economic Annals-XXI. 2018. Vol. 173. Is. 9–10. Pp. 19–25. https://doi.org/10.21003/ea.V173-03.
Reiff M., Ivanicova Z., Surmanova K. Cluster analysis of selected world development indicators in the fields of agriculture and the food industry in European Union countries. Agricultural Economics – Czech. 2018. Vol. 64. Pp. 197–205. https://doi.org/10.17221/198/2016-AGRICECON.
Naglova Z., Boberova B., Horakova T., Smutka L. Statistical analysis of factors influencing the results of enterprises in dairy industry. Agricultural Economics – Czech. 2017. Vol. 63. Pp. 259–270. https://doi.org/10.17221/353/2015-AGRICECON.
Божидай І. Кластеризація агропромислових підприємств України як основа ефективного стратегічного управління. Agricultural and Resource Economics: International Scientific E-Journal. 2019. Vol. 5. No. 2. Pp. 86–98. URL: http://are-journal.com.
Стоянець Н. Регіональні кластери як структурні ланки сталого розвитку національної економіки. Agricultural and Resource Economics: International Scientific E-Journal. 2017. Vol. 3. No. 2. Pp. 132–144. URL: http://are-journal.com.
Vasylieva N. Cluster models of households’ agrarian production development. Economic Annals-XXI. 2016. Vol. 158. No. 3–4(2). P. 13–16. https://doi.org/10.21003/ea.V158-03.
Бойко Н. І. Застосування кластерного аналізу для діагностики дієвості господарського механізму торговельних підприємств. Вісник Національного університету «Львівська політехніка». Інформаційні системи та мережі. 2014. № 783. С. 412–420.
Офіційний сайт Головного управління статистики в Житомирській області. Статистична інформація. URL: http://www.zt.ukrstat.gov.ua.
Офіційний сайт Державної установи «Агентство з розвитку інфраструктури фондового ринку України». Бази даних. Емітенти. URL: http://https://smida.gov.ua/db/emitent.
References
Biryuchenko, S. Yu. (2008), The mechanism of formation of the optimal composition of income of the personnel of enterprises. Bulletin of the Zhytomyr State Technological University. Economic Sciences, vol. 3(45), pp. 219–229.
Fan, M., Pena, A. A. and Perloff, J. M. (2016), Effects of the Great Recession on the U.S. Agricultural Labor Market. American Journal of Agricultural Economics, vol. 98, is. 4, pp. 1146–1157. https://doi.org/10.1093/ajae/aaw023.
Charlton, D. and Taylor, J. E. (2016), A Declining Farm Workforce: Analysis of Panel Data from Rural Mexico. American Journal of Agricultural Economics, vol. 98, no. 4, pp. 1158–1180. https://doi.org/10.1093/ajae/aaw018.
Betáková, J., Haviernikova, K., Jašková, D., Hagara, V. and Zeman, R. (2017), Potential for clustering in the agricultural sector assessment: the case of Slovakia. Economic Annals-XXI, vol. 167, іs. (9–10), pp. 23–27. https://doi.org/10.21003/ea.V167-05.
Ignashkina, T. B. and Shura, N. O (2011), Formation of branch clusters of industrial enterprises of the Dnepropetrovsk region for the purpose of analysis of reproductive processes. BUSINESS: Economy. Economic and mathematical modeling, vol. 7(2), pp. 23–30.
Voynarenko, M. (2000), The concept of clusters – the way to the revival of production at the regional level. Economist, vol. 1, pp. 12–15.
Pistunov, I. M., Antonyuk, O. P. and Turchaninova, I. Y. (2008), Klasternyi analiz v ekonomitsi [Cluster analysis in economics], National Mining University, Dnepropetrovsk, Ukraine.
Paranitsya, N. V. (2017), Statistical and regression analysis of socio-economic phenomena of regions of Ukraine in Management of modern socio-economic systems, vol. 2. Baltic Publishing House, Lithuania, available at: http://ir.nusta.edu.ua/jspui/handle/123456789/2173.
Pedchenko, G. P. (2019), Rehionalnyi statystychnyi analiz pidpryiemnytstva v Ukraini [Regional statistical analysis of entrepreneurship in Ukraine], Sotsialno-ekonomichni problemy rozvytku biznesu ta mistsevoho samovriaduvannia: tezy dopovidei II mizhnarodnoi naukovo-praktychnoi konferentsii [materials II International scientific-practical conference «Socio-economic problems of business development and local self-government»], TDATU, June 13–14, available at: http://elar.tsatu.edu.ua/handle/123456789/8138.
Everitt, B. S., Landau, S. and Leese, M. (2011), Cluster Analysis, 5nd edition, John Wiley & Sons, USA.
Orlova-Kurilova, O. V. (2019), Innovation cluster as an organic element of national economy. Actual problems of economics, vol. 9, no. 219, pp. 59–66. https://doi.org/10.32752/1993-6788-2019-1-219-59-66.
Melnyk, M., Korcelli-Olejniczak, E., Chorna, N. and Popadynets, N. (2018), Development of regional IT clusters in Ukraine: institutional and investment dimensions. Economic Annals-XXI, vol. 173, is. 9–10, pp. 19–25, https://doi.org/10.21003/ea.V173-03.
Reiff, M., Ivanicova, Z. and Surmanova, K. (2018), Cluster analysis of selected world development indicators in the fields of agriculture and the food industry in European Union countries. Agricultural Economics – Czech, vol. 64, pp. 197–205. https://doi.org/10.17221/198/2016-AGRICECON.
Naglova, Z., Boberova, B., Horakova, T. and Smutka, L. (2017), Statistical analysis of factors influencing the results of enterprises in dairy industry. Agricultural Economics – Czech, vol. 63, pp. 259–270. https://doi.org/10.17221/353/2015-AGRICECON.
Bogiday, І. (2019), Clusterization of agro-industrial enterprises of Ukraine as the basis of effective strategic management. Agricultural and Resource Economics: International Scientific E-Journal, [Online], vol. 5, no. 2, pp. 86–98, available at: http://are-journal.com.
Stoianets, N. (2017), Regional clusters as a structural link sustainable development national economy. Agricultural and Resource Economics: International Scientific E-Journal, [Online], vol. 3, no. 2, pp. 132–144, available at: http://are-journal.com.
Vasylieva, N. (2016), Cluster models of households’ agrarian production development, Economic Annals-XXI, vol. 158, no. 3–4(2), pp. 13–16. https://doi.org/10.21003/ea.V158-03.
Bojko, N. I. (2014), Application of cluster analysis for the diagnosis of the efficiency of the economic mechanism of trading enterprises. Visnyk Natsional'noho universytetu «L'vivs'ka politekhnika». Informatsijni systemy ta merezhi, no. 783, pp. 412–420.
Official site of the Main Department of Statistics in Zhytomyr region [Online], Statistical information, available at: http://www.zt.ukrstat.gov.ua.
Official site of the State «Agency Stock Market Infrastructure Development Agency of Ukraine» [Online], Databases. Issuers, available at: www.http://https://smida.gov.ua/db/emitent.
