Analytical-applied and organizational-structural support for innovative development processes in agro-construction cluster enterprises

This article explores the economic and managerial aspects of innovative development within agro-construction clusters based on modern theoretical and methodological premises and models of economic dynamics. The primary focus is on analyzing territorial-industrial clusters that promote innovation and enhance the efficiency of interaction between agricultural and construction enterprises. The article discusses cyclical models of economic dynamics (Solow, Romer, and Cobb-Douglas models) as tools for assessing the impact of innovation and identifying innovation stagnation. These models help explain how economic processes unfold in different regions under the influence of periodic (cyclical) changes and how these processes interact with spatial factors. The aim of the study is to develop recommendations for improving the management of clustering processes through the effective use of economic-mathematical models and risk analysis associated with cluster organization. The article examines the key advantages of territorial-industrial clusters, including increased productivity, innovative development, and economies of scale through shared resource use. At the same time, risks such as market monopolization, high entry costs for new participants, dependence on regional specificities, and excessive competition among participants are explored. The article also highlights the importance of integrating economic-mathematical models into modern management information systems (BIM – Building Information Modeling, ERP – Enterprise Resource Planning, SCM – Supply Chain Management), which allow for more effective forecasting of cluster development and identifying factors that contribute to or hinder innovative development. As a result, recommendations are proposed for improving management approaches to minimize risks and maximize the benefits of clustering, particularly in the agro-construction sector of Ukraine.

Authors

Publication Details

Journal
Management of Development of Complex Systems
Published
2024-09-27
DOI
https://doi.org/10.32347/2412-9933.2024.59.208-216
Citations
2
Primary Topic
Economic and Business Development Strategies
Type
article
Field-Weighted Citation Impact
2.26
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article

Analytical-applied and organizational-structural support for innovative development processes in agro-construction cluster enterprises

Надія Онікієнко
2 citations
Management of Development of Complex Systems
Economic and Business Development Strategies
2.26
article

Analytical-applied and organizational-structural support for innovative development processes in agro-construction cluster enterprises

Надія Онікієнко
article en
2 citations

Abstract

This article explores the economic and managerial aspects of innovative development within agro-construction clusters based on modern theoretical and methodological premises and models of economic dynamics. The primary focus is on analyzing territorial-industrial clusters that promote innovation and enhance the efficiency of interaction between agricultural and construction enterprises. The article discusses cyclical models of economic dynamics (Solow, Romer, and Cobb-Douglas models) as tools for assessing the impact of innovation and identifying innovation stagnation. These models help explain how economic processes unfold in different regions under the influence of periodic (cyclical) changes and how these processes interact with spatial factors. The aim of the study is to develop recommendations for improving the management of clustering processes through the effective use of economic-mathematical models and risk analysis associated with cluster organization. The article examines the key advantages of territorial-industrial clusters, including increased productivity, innovative development, and economies of scale through shared resource use. At the same time, risks such as market monopolization, high entry costs for new participants, dependence on regional specificities, and excessive competition among participants are explored. The article also highlights the importance of integrating economic-mathematical models into modern management information systems (BIM – Building Information Modeling, ERP – Enterprise Resource Planning, SCM – Supply Chain Management), which allow for more effective forecasting of cluster development and identifying factors that contribute to or hinder innovative development. As a result, recommendations are proposed for improving management approaches to minimize risks and maximize the benefits of clustering, particularly in the agro-construction sector of Ukraine.

Management of Development of Complex Systems(59)
Openalex Percentile: Top 7%
Economic and Business Development Strategies
2.26
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