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AN ALTERNATIVE MODELING OF THE INNOVATIVE POTENTIAL OF COMPANIES

Fìnansovo-kreditna dìâlʹnìstʹ: problemi teorìì̈ ta praktiki (Online), 2024-04, Vol.2 (55) [Peer Reviewed Journal]

ISSN: 2306-4994 ;EISSN: 2310-8770 ;DOI: 10.55643/fcaptp.2.55.2024.4319

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  • Title:
    AN ALTERNATIVE MODELING OF THE INNOVATIVE POTENTIAL OF COMPANIES
  • Author: Larysa Vasyurenko ; Marta Manukhina ; Maryna Melnik ; Kseniia Sieriebriak ; Inna Tatsii ; Olga Serikova
  • Subjects: concept ; implicit theory ; innovations ; investment attractiveness ; potential
  • Is Part Of: Fìnansovo-kreditna dìâlʹnìstʹ: problemi teorìì̈ ta praktiki (Online), 2024-04, Vol.2 (55)
  • Description: Modern economic conditions require the testing and introduction of new methods to find ways to achieve a prolonged effect in terms of ownership and investment attractiveness. The purpose of the article is to develop theoretical and methodological tasks regarding ways to maximize the investment attractiveness of companies, using external search information about the state of innovation potential of companies with different levels of economic development and the selection of logically justified descriptors of influence. We have defined the principles of the author's concept - Unified concept of building innovation potential - (UKDIP), the essence of which is to find unified ways to increase the innovative potential of business entities, at the expense of descriptors of the state of the innovation sector (gross domestic expenditure on R&D, the number of researchers, the number of government researchers, number of triadic patent families). We confirmed the relationship between the meta-factors of innovation using the foundations of the implicit theory. Using the clustering method, we have formed 4 latent clusters with varying degrees of investment attractiveness. The approach defined by us can serve as one of the options for effective methods of researching the influence of factors that contribute to the growth of the innovative potential of individual companies and, consequently, the national economy as a whole.
  • Publisher: FINTECH Alliance LLC
  • Language: English
  • Identifier: ISSN: 2306-4994
    EISSN: 2310-8770
    DOI: 10.55643/fcaptp.2.55.2024.4319
  • Source: ROAD: Directory of Open Access Scholarly Resources
    DOAJ Directory of Open Access Journals
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