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 A Complex of Models for Assessing and Analyzing the Innovative Development of Industries Huz O. B., Bilotserkivskyi O. B., Bril M. S.
Huz, Ostap B., Bilotserkivskyi, Oleksandr B., and Bril, Mykhailo S. (2026) “A Complex of Models for Assessing and Analyzing the Innovative Development of Industries.” Business Inform 4:84–94. https://doi.org/10.32983/2222-4459-2026-4-84-94
Section: Innovative Processes
Article is written in UkrainianDownloads/views: 0 | Download article (pdf) -  |
UDC 330.341.1:330.4
Abstract: The article considers the theoretical and methodological foundations and practical aspects of assessing the innovative development of economic sectors under conditions of increasing global competition and accelerating technological change. The main problems of modern approaches to assessing innovative development have been identified, in particular, the fragmentation of sectoral indicators, limited use of integrated indices, and the complexity of accounting for the multidimensional nature of innovations. The feasibility of applying a sectoral approach is proven, which allows for consideration of the internal heterogeneity of the economy and identification of the specifics of innovation processes at the level of individual sectors. A complex of models for assessing and analyzing innovative development has been developed, covering the full analytical cycle: forming an information base, assessing the innovative activity of sectors at the national level, conducting comparative country analysis, and carrying out a global summarization of results. The proposed approach includes tools of multidimensional positioning, cluster analysis, construction of an integral index, as well as analysis of convergence processes, which provides a comprehensive assessment and comparability of results. Empirical results confirmed the presence of significant differentiation of innovation development among economic sectors and revealed the key role of the service sector in shaping the innovation structure. Heterogeneity of intersectoral connections and the presence of structural imbalances manifested in varying degrees of sectoral development coherence were identified. The proposed complex of models allows identifying leaders and laggards in innovation development, assessing the dynamics of changes over time, and forming well-founded managerial decisions.
Keywords: innovation development; sectoral approach; complex of models; integral assessment; multidimensional analysis; structural imbalances.
Fig.: 1. Tabl.: 6. Formulae: 13. Bibl.: 16.
Huz Ostap B. – Applicant, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine) Email: [email protected] Bilotserkivskyi Oleksandr B. – Candidate of Sciences (Engineering), Associate Professor, Associate Professor, Department of Entrepreneurship, Trade and Logistics, National Technical University «Kharkiv Polytechnic Institute» (2 Kyrpychova Str., Kharkіv, 61002, Ukraine) Email: [email protected] Bril Mykhailo S. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Public Administration, Governance and Economic Policy, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine) Email: [email protected]
List of references in article
Alqararah K. (2023). Assessing the robustness of composite indicators: The case of the Global Innovation Index. Journal of Innovation and Entrepreneurship, 1(12), 61. https://doi.org/10.1186/s13731-023-00332-w
Audretsch D. B. & Belitski M. (2020). The role of R&D and knowledge spillovers in innovation and productivity. European Economic Review, 103391(123). https://doi.org/10.1016/j.euroecorev.2020.103391
ec.europa.eu. (2020). Community innovation survey (CIS): Methodological guidelines. Eurostat. https://ec.europa.eu/eurostat/web/microdata/community-innovation-survey
Gimenez-Medina M., Enriquez J. G. & Dominguez-Mayo F. J. (2023). A systematic review of capability and maturity innovation assessment models: Opportunities and challenges. Expert Systems with Applications, Part B(213), 118968. https://doi.org/10.1016/j.eswa.2022.118968
Greco S., Ishizaka A., Tasiou M. & Torrisi G. (2019). On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness. Social Indicators Research, 1(141), 61–94. https://doi.org/10.1007/s11205-017-1832-9
Hidalgo A. & Albors J. (2021). Innovation management techniques and tools: a review from theory and practice. R&D Management, 2(38), 113–127. https://doi.org/10.1111/j.1467-9310.2008.00503.x
Koval V., Olczak P. & Vdovenko N. (2021). Ecosystem of Environmentally Sustainable Municipal Infrastructure in Ukraine. Sustainability, 18(13), 10223. https://doi.org/10.3390/su131810223
Ma X., Hao Y. & Li X. (2023). Evaluating global intelligence innovation: An index based on machine learning methods. Technological Forecasting and Social Change, 122736(194). https://doi.org/10.1016/j.techfore.2023.122736
Mayer J. & Jochem R. (2024). Capability Indices for Digitized Industries: A Review of Machine Learning Applications. Processes, 8(12), 1730. https://doi.org/10.3390/pr12081730
OECD Publishing (2020). Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation. (4th ed). Paris: OECD Publishing. https://doi.org/10.1787/9789264304604-en
oecd-ilibrary.org. (2023). OECD Business Innovation Indicators 2023 edition. OECD. https://www.oecd-ilibrary.org/content/dam/oecd/en/data/datasets/business-innovation-statistics-and-indicators/business-innovation-indicators-2023-highlights.pdf
oecd.org. (2018). Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation. 4th ed. OECD & Eurostat. https://www.oecd.org/science/oslo-manual-2018-9789264304604-en.htm
oecd.org. (2010). Measuring Innovation: A New Perspective. Organisation for Economic Co-operation and Development. https://www.oecd.org/content/dam/oecd/en/publications/reports/2010/05/measuring-innovation_g1ghc903/9789264059474-en.pdf
research-and-innovation.ec.europa.eu. (2025). European innovation scoreboard 2025. European Commission. https://research-and-innovation.ec.europa.eu/statistics/performance-indicators/european-innovation-scoreboard_en
Singh A. P. & Garg S. (2026). Measuring innovation: A composite index of innovation volume at firm level. Scientometrics, 2(131), 1067–1118. https://doi.org/10.1007/s11192-026-05555-8
wipo.int. (2023). Global innovation index 2023: Innovation in the face of uncertainty. World Intellectual Property Organization. https://www.wipo.int/global_innovation_index/en/2023/
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