Formalization and quantitative measurement of synergy as a process and result: methodological approach and instrumental solutions
Rozumenko V. D.,
Academician of the Ukrainian Academy of Sciences, Doctor of Medical Sciences, Professor,
ORCID https://orcid.org/0000-0002-8774-6942
e-mail: rozumenko.neuro@gmail.com;
Ostrovetskyy V. I.,
Candidate of Economics,
ORCID https://orcid.org/0000-0003-3985-5236
e-mail: v.ostrovetskyy@gmail.com
SI “Institute of Neurosurgery named after Academician A.P. Romodanov of the National Academy of Medical Sciences of Ukraine
Citation Format
Rozumenko, V. D., & Ostrovetskyy, V. I. (2025). Formalization and quantitative measurement of synergy as a process and result: methodological approach and instrumental solutions. Vіsnyk ekonomіchnoі nauky Ukraіny, 2(49), 120-130. https://doi.org/10.37405/1729-7206.2025.2(49).120-130
Language
Ukrainian
Resume
The article presents a comprehensive approach to the formalization of synergy as both a process and a result, enabling its functionalization, digitization, and manageability in complex systems. The scientific novelty lies in the development of a mathematical model of synergy that integrates quantitative and qualitative metrics, including Shapley methods and Partial Information Decomposition, as well as a prototype architecture of an information tool for data collection, synergy computation, and support of the experimental management cycle. The proposed multi-approach increases measurement accuracy and enables effective management of synergistic effects, which has significant practical relevance in various fields, including economics, biology, technology, and social sciences. The necessity of developing a dedicated ISO standard is substantiated, aimed at unifying terminology, assessment methods, and synergy management principles arising from the integration of management systems based on the High-Level Structure, with the goal of improving efficiency, reducing process duplication, and providing an evidence base to support sustainable development.
Keywords
synergy, formalization, quantitative measurement, Shapley, Partial Information Decomposition, resource management, complex systems, experimental validation, multi-approach.
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Full Text (.pdf)
Received: 29.09.2025
Accepted: 03.11.2025
Published: 29.12.2025