Trends of using artificial intelligence in measuring innovation potential

Miklós Gubán,Richárd Kása,Dávid Takács,Mihai-Constantin Avornicului

Published 2023 in Management and Production Engineering Review

ABSTRACT

Received: 11 October 2018 Abstract Accepted: 12 April 2019 The field of academic research on corporate sustainability management has gained significant sophistication since the economic growth has been associated with innovation. In this paper, we are to show our research project that aims to build an artificial intelligence-based neurofuzzy inference system to be able to approximate company’s innovation performance, thus the sustainability innovation potential. For this we used an empirical sample of Hungarian processing industry’s large companies and built an adaptive neuro fuzzy inference system.

PUBLICATION RECORD

  • Publication year

    2023

  • Venue

    Management and Production Engineering Review

  • Publication date

    2023-11-06

  • Fields of study

    Business, Computer Science, Engineering, Environmental Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

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