Trends of using artificial intelligence in measuring innovation potential

• Autorzy: Gubán Miklós , Kása Richard , Takács Dávid , Avornicului Mihai

Identyfikatory

DOI

10.24425/mper.2019.129564

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

process mapping; production logistics; process improvements; shipyard industry

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2019
• Tom: Vol. 10, No. 2
• Strony: 3--15
• Opis fizyczny: Bibliogr. 66 poz., rys, tab.

Twórcy

autor

Gubán Miklós

• Budapest Business School, Zalaegerszeg Faculty of Business Administration, Hungary, Budapest

autor

Kása Richard

• Budapest Business School, Faculty of Finance and Accountancy, Department of Management, Hungary

autor

Takács Dávid

• Budapest Business School, Zalaegerszeg Faculty of Business Administration, Gasparich st. 18/a, 8900, Zalaegerszeg, Hungary

autor

Avornicului Mihai

• Babes-Bolyai University Cluj-Napoca, Faculty of Economics and Business Administration, Romania

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).