Modeling a System of Adaptive Management of Manufacturing Enterprises in Ukraine: Political, Economic, Socio-cultural, and Technological Analysis

Nataliia Kondratenko, Ludmila Kovalenko, Giuseppe T. Cirella, Hanna Doroshenko, Svetlana Babych and Tetiana Artiukh
Additional contact information
Nataliia Kondratenko: Department of Management and Public Administration, O. M. Beketov National University of Municipal Economy in Kharkiv
Ludmila Kovalenko: Department of Higher Mathematics, O. M. Beketov National University of Municipal Economy in Kharkiv
Hanna Doroshenko: Department of Economics and Management, V. N. Karazin Kharkiv National University
Svetlana Babych: Department of Economics and Management, V. N. Karazin Kharkiv National University
Tetiana Artiukh: National University of Pharmacy

Chapter Chapter 6 in Handbook on Post-War Reconstruction and Development Economics of Ukraine, 2024, pp 85-102 from Springer

Abstract: Abstract This chapter presents a comprehensive analysis aimed at devising an effective model for post-war reconstruction for the adaptive management of manufacturing enterprises in Ukraine. When formulating this system, careful consideration must be given to the introduction of innovative technologies, along with a well-thought-out territorial distribution of labor to facilitate the training of highly skilled specialists. The proposed management system of Ukraine’s manufacturing enterprises will need to be characterized by instability in business to challenge the socioeconomic and political circumstances in a post-war period. To maintain a competitive edge, territorial production complexes in Ukraine must establish clusters and focus on enhancing their management practices while adapting to the frequent changes across the national economy. The primary objective for territorial production complexes is to develop a system of adaptive management for manufacturing enterprises, utilizing scientific methods and systematic research through adaptive planning, forecasting, economic and mathematical modeling, and prioritization of economic activities. This chapter emphasizes a fresh perspective by highlighting the advantages of employing technologies and tools to model an adaptive management system specifically tailored to Ukraine’s territorial aspects of industrial development. Proposals are put forth for both enterprises and the government to take internal measures to support this initiative. Given Ukraine’s unique geographical location and historical background in Eastern Europe, a political, economic, socio-cultural, and technological (PEST) analysis method is utilized to dissect the influencing indicators by examining various macro-environmental factors and testing for potential strategic risks. Using PEST, two case research industries—the metallurgical industry and light industry—are comparatively analyzed to demonstrate the benefits derived from the modeling process. A practical post-war roadmap for implementing an adaptive management system for Ukraine’s manufacturing enterprises is suggested and structured from a top-down, managerial perspective. Recommendations are provided within the system to enable businesses to thrive amid competition and realize their strategic objectives amid risks and uncertainties. The application of the precautionary principle is also encouraged, considering the relatively limited expertise in modeling adaptive management for enterprises in Ukraine.

Keywords: Business practices; Industrial enterprises; Industry indicators; Light industry; Manufacturing sector; Metallurgical industry; PEST (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:conchp:978-3-031-48735-4_6

Ordering information: This item can be ordered from
http://www.springer.com/9783031487354

DOI: 10.1007/978-3-031-48735-4_6

Access Statistics for this chapter

More chapters in Contributions to Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().