CONCEPTUAL PRINCIPLES OF INNOVATION AND INVESTMENT MANAGEMENT AS A BASIS FOR THE EFFECTIVE DEVELOPMENT OF AN AGRICULTURAL ENTERPRISE

Abstract

Relevance. The relevance of this study is determined by the growing need of agricultural enterprises to implement innovative and investment-based management approaches in the context of increasing competition, digital transformation, and global market instability. Modern technologies — digitalization, automation, the use of ERP, CRM, and SCM systems, precision farming technologies, drones, big data, the Internet of Things, and robotics — have become key factors in improving productivity, optimizing resource use, and ensuring the soundness of managerial decisions. Within the framework of the Agriculture 4.0 paradigm, the integration of technological, organizational, and informational processes is of particular importance, responding to contemporary challenges in the agricultural sector and necessitating the modernization of enterprise management models.

Purpose of the study. The aim of this research is to identify the relationship between innovative and investment approaches to managing an agricultural enterprise, to assess the impact of modern digital technologies on managerial decision-making effectiveness, and to develop a model of integrated management of innovation and investment processes with the identification of qualitative and quantitative performance indicators.

Methods. The study applied systemic and comparative analysis, modeling, and generalization methods to evaluate innovation and investment processes, analyze the impact of digital technologies on management efficiency, and develop an integrated model for agricultural enterprise development.

Results. The results indicate that the implementation of modern managerial and digital technologies increases the effectiveness of decision-making in agricultural enterprises, while combining innovative approaches with investment activity contributes to productivity growth, resource optimization, and enhanced enterprise resilience. The proposed integrated management model demonstrates that the interaction of technological, organizational, and informational components creates long-term competitive advantages and adaptive development strategies.

Practical value of the study. The findings can be useful for managers and specialists of agricultural enterprises, consultants, and sector stakeholders to improve approaches to the implementation of digital technologies, integrated management of innovation and investment processes, and enhancement of managerial decision-making. They also provide a basis for formulating effective management principles and adaptive development strategies for agricultural enterprises under conditions of digital transformation.

Conclusions. The study shows that the implementation of modern managerial and digital technologies combined with innovative and investment approaches ensures increased decision-making efficiency, optimized resource potential, and productivity growth in agricultural enterprises. The proposed integrated management model demonstrates that comprehensive interaction of technological, organizational, and informational components contributes to long-term competitive advantages, resilience to market and technological challenges, and the development of adaptive strategies under digital transformation conditions. The results can be applied to improve management decisions and development strategies in agricultural enterprises.