Articles
Published 2021-10-29
Keywords
- model, sensitivity, indicators, development, organizational changes, enterprise.
How to Cite
Bilyk, V., Kolomytseva, O., Myshkovych, O., Tymoshyk, N., & Shcherbatykh, D. (2021). Modeling sensitivity indices of industrial enterprise organizational change. Amazonia Investiga, 10(45), 230–241. https://doi.org/10.34069/AI/2021.45.09.23
Abstract
Evaluation of sensitivity of commercial enterprises to organizational changes should be made in terms of short-term planning for which it is important to ensure the financial results, as well as in terms of long-term planning, which is important for non-monetary indicators of development effectiveness. To solve this problem, the paper is designed model sensitivity Descriptive indicators of industrial enterprises to organizational changes, reflecting monetary and non-monetary effects of organizational change. The authors determined that the proposed model allows for the analysis of organizational change with regard to their impact on monetary and non-monetary efficiency.
This paper contributes to the theory and practice at the border to ensure a balance between short-term and long-term development of industrial enterprises. Convincingly demonstrated the possibility of using research results in practice.
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References
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Senthil, M. (1997) Applications of the Geometric Mean. University of Toronto Mathematics Network, http://www.math.toronto.edu/mathnet/questionCorner/geomean.html.
Shmatko, N. (2016). Organization of planning of structural changes in the process of industrial enterprise development. Development management, 4, 138–143.
Stefano, F. (2021). The influence of the external and internal environments of multinational enterprises on the sustainability commitment of their subsidiaries. A cluster analysis, Journal of Cleaner Production, 297, 126654 https://doi.org/10.1016/j.jclepro.2021.126654.
Tarasova, H., Zaharov, S., Vereskun, M., & Kolosok, V. (2019). Preventive anticrisis strategy for development of industrial enterprise. Independent Journal of Management & Production, 10(5), 1405-1420. https://doi.org/10.14807/ijmp.v10i5.890
Trianni, A., Cagno, E., Neri, A., & Howard, M. (2019). Measuring industrial sustainability performance, Empirical evidence from Italian and German manufacturing small and medium enterprises. Journal of Cleaner Production, 229, 1355-1376, https://doi.org/10.1016/j.jclepro.2019.05.076
Tutak, M., Brodny, J., & Dobrowolska, M. (2020). Assessment of Work Conditions in a Production Enterprise - A Case Study. Sustainability, 12(13), 5390. https://doi.org/10.3390/su12135390
Zhang, L., Long, R., Chen, H., & Huang, X. (2018). Performance changes analysis of industrial enterprises under energy constraints. Resources, Conservation and Recycling, 136, 248-256 https://doi.org/10.1016/j.resconrec.2018.04.032.
Bezchasny, O. (2018a). Optimization of organizational communications in the process is an industrial enterprise. Scientific notes of Tavriya National University named after VI Vernadsky, Economics and Management, 29(68), ? 3, 54-58.
Bezchasnyi, O. (2018b). Evaluation of the effectiveness of organizational communications at an industrial enterprise in the process of implementing development projects. Scientific Bulletin of Kherson State University, Economic sciences, 30(3), 78-83.
Chang, A.Y., & Cheng, Y.T. (2019). Analysis model of the sustainability development of manufacturing small and medium- sized enterprises in Taiwan. Journal of Cleaner Production, 207, 458-473. https://doi.org/10.1016/j.jclepro.2018.10.025
Chernyavska, I. (2018). Mechanisms of influence of organizational and managerial transformation on the development of industrial enterprises. Economic analysis, 28(2), 200-212.
Chichkina, V. (2011). Methodological aspects of organizational transformations based on business processes of an industrial enterprise. National economy. Issues of innovative development, 1, 19-23.
Dunska, A. (2014). Organizational methods of ensuring the functioning of the innovative mechanism of development of industrial enterprises. Scientific Bulletin of Kherson State University, Economic sciences,7(2), 190-193.
Gajdzik, B., Grabowska, S., & Saniuk, S. (2021). A Theoretical Framework for Industry 4.0 and Its Implementation with Selected Practical Schedules. Energies, 14(4), 940. https://doi.org/10.3390/en14040940
Hroznyi, I., Kuzmak, O., Kuzmak, O., & Rusinova, O. (2018). Modeling management of diversification of foreign economic interactions. Problems and Perspectives in Management, 16(1), 155-165. https://doi.org/10.21511/ppm.16(1).2018.15
Kaganski, S., Majak, J., Karjust, K., & Toompalu, S. (2017). Implementation of Key Performance Indicators Selection Model as Part of the Enterprise Analysis Model. Procedia CIRP, 63, 283-288 https://doi.org/10.1016/j.procir.2017.03.143.
Kanashchenkov, A.I., Novikov, S.V., & Veas Iniesta, D.S. (2019). Technology formation of the mission of micro-level management enterprise in aviation. IOP Conference Series: Materials Science and Engineering, Volume 537, Issue 4. Doi: 10.1088/1757-899X/537/4/042040
Mirsalari, S.R., & Ranjbarfard, M. (2020). A model for evaluation of enterprise architecture quality. Evaluation and Program Planning, 83, 101853. https://doi.org/10.1016/j.evalprogplan.2020.101853.
Neri, A., Cagno, E., Lepri, M., & Trianni, A. (2021). A triple bottom line balanced set of key performance indicators to measure the sustainability performance of industrial supply chains. Sustainable Production and Consumption, 26, 648-691 https://doi.org/10.1016/j.spc.2020.12.018
Patalas-Maliszewska, J., & ?osyk, H. (2020). An Approach to Assessing Sustainability in the Development of a Manufacturing Company. Sustainability, 12(21), 8787. https://doi.org/10.3390/su12218787
Pinkovetskaia, I.S.; Aleksandrova; Natalya R.; Treskova, Tatyana,Veas Iniesta, D. S. (2021). Present Innovation Policy: Russian Regions Data. Cuestiones Políticas, 39(69) http://dx.doi.org/10.46398/cuestpol.3969.08
Rodríguez, R., Molina-Castillo, F.J. & Svensson, G. (2020). The mediating role of organizational complexity between enterprise resource planning and business model innovation, Industrial Marketing Management, 84, 328-341, https://doi.org/10.1016/j.indmarman.2019.09.007.
Senthil, M. (1997) Applications of the Geometric Mean. University of Toronto Mathematics Network, http://www.math.toronto.edu/mathnet/questionCorner/geomean.html.
Shmatko, N. (2016). Organization of planning of structural changes in the process of industrial enterprise development. Development management, 4, 138–143.
Stefano, F. (2021). The influence of the external and internal environments of multinational enterprises on the sustainability commitment of their subsidiaries. A cluster analysis, Journal of Cleaner Production, 297, 126654 https://doi.org/10.1016/j.jclepro.2021.126654.
Tarasova, H., Zaharov, S., Vereskun, M., & Kolosok, V. (2019). Preventive anticrisis strategy for development of industrial enterprise. Independent Journal of Management & Production, 10(5), 1405-1420. https://doi.org/10.14807/ijmp.v10i5.890
Trianni, A., Cagno, E., Neri, A., & Howard, M. (2019). Measuring industrial sustainability performance, Empirical evidence from Italian and German manufacturing small and medium enterprises. Journal of Cleaner Production, 229, 1355-1376, https://doi.org/10.1016/j.jclepro.2019.05.076
Tutak, M., Brodny, J., & Dobrowolska, M. (2020). Assessment of Work Conditions in a Production Enterprise - A Case Study. Sustainability, 12(13), 5390. https://doi.org/10.3390/su12135390
Zhang, L., Long, R., Chen, H., & Huang, X. (2018). Performance changes analysis of industrial enterprises under energy constraints. Resources, Conservation and Recycling, 136, 248-256 https://doi.org/10.1016/j.resconrec.2018.04.032.
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