COGNITIVE MODEL OF DECISION SUPPORT FOR THE FORMATION AND DEVELOPMENT OF INTELLECTUAL CAPITAL OF A DIGITAL ENTERPRISE
( Pp. 26-31)
More about authors
Niyaz M. Abdikeev
Dr. Sci. (Eng.), Professor, Director of the Institute of Financial and Industrial Policy
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Losev Anton Alekseevich zamestitel rukovoditelya Departamenta analiza dannyh, prinyatiya resheniy i finansovyh tehnologiy
Financial University under the Government of the Russian Federation
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Losev Anton Alekseevich zamestitel rukovoditelya Departamenta analiza dannyh, prinyatiya resheniy i finansovyh tehnologiy
Financial University under the Government of the Russian Federation
Abstract:
Digital transformation of the business processes of an existing enterprise is an expensive process due to the need to maintain production on existing technologies for some time and simultaneously launch them in digital format. The problem of choosing a business process for digital transformation requires taking into account the use of a particular competency or technology in any of the business processes and conducting additional research. The formation of the knowledge base, which is the intellectual capital of the enterprise, plays a decisive role in the transition to a digital enterprise and allows you to calculate various scenarios of digital transformation of individual business processes. Using a cognitive model based on a knowledge base, it becomes possible to build a roadmap for the digital transformation of an enterprise. The article discusses the evolution of methods for building knowledge bases and corporate architecture, taking into account modern approaches to digital transformation of business processes, as well as the formation and development of the intellectual capital of a digital enterprise using cognitive modeling.
How to Cite:
Niyaz M.A., Losev A.A., (2019), COGNITIVE MODEL OF DECISION SUPPORT FOR THE FORMATION AND DEVELOPMENT OF INTELLECTUAL CAPITAL OF A DIGITAL ENTERPRISE. Economic Problems and Legal Practice, 6 => 26-31.
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Abdikeev N.M., Averkin A.N., D yakonova L.P. i dr. Kognitivnaya biznes-analitika: Uchebnik / Pod red. N.M. Abdikeeva. M.: INFRA-M, 2011. - 511 s.
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Solov ev V.I. Analiz dannykh v ekonomike: teoriya veroyatnostey, prikladnaya statistika, obrabotka i vizualizatsiya dannykh v Microsoft Excel: Uchebnik. M.: KNORUS., 2019. - 498 s.
Abdikeev N.M. Intellektual nye informatsionnye sistemy: Uchebnik. M.: KOS-INF, Ros. Ekon. Akad., 2003. - 188 s.
Burke R., Mussomeli A., Laaper S., Hartigan M., Sniderman B. The smart factory: Responsive, adaptive, connected manufacturing, Electronic resourse USA, Deloitte University Press. 2017. URL: https://www2.deloitte.com /us/en/insights/focus/industry-4-0/smart-factory-connected-manufacturing.html
Abdikeev N.M., Kiselev A.D. Upravlenie znaniyami korporatsii i reinzhiniring biznesa: Uchebnik. M.: INFRA-M. 2011. - 382 s.
Gaydamaka A.I., Losev A.A., Abdikeev N.M. i dr. Mezhotraslevoy marketpleys dlya uchastnikov sozdaniya novykh vysokotekhnologichnykh produktov // V kn. Paradigmy tsifrovoy ekonomiki: Tekhnologii iskusstvennogo intellekta v finansakh i fintekhe: Monografiya / Pod red. M.A. Eskindarova, V.I. Solov eva. - M.: Kogito-TSentr, 2019. - 325 s.
Knickle K., Ellis S. IDC FutureScape: Worldwide Manufacturing 2018 Predictions. Electronic resourse 2017. URL:https://bluecrux.com/wp-content/uploads/2018/05/IDC-FutureScape-Worldwide-Manufacturing-2018-Predictions.pdf
Tomas T. The Connection Between Smart Manufacturing and IoT. // URL:https://www.manufacturing.net/article/2018/07/connection-between-smart-manufacturing-and-iot
United Nations Industrial Development Organization 2017. Vienna: Information Economy Report, 2017: Digitalization, Trade and Development UNCTAD/IER/2017. Corr. 1. Vienna, 2017.
Industry 4.0 : Digital enterprise creation. Global analysis of concepts Industry 4.0 , 2016 / PwC, 2017.
Anan in V.I., Zimin K.V., Lugachev M.I., Gimranov R.D., Skripkin K.G. TSifrovoe predpriyatie: transformatsiya v novuyu real nost // Biznes-informatika. 2018. № 2 (44). S. 45-54.
Aliev R.A., Abdikeev N.M., SHakhnazarov M.M. Proizvodstvennye sistemy s iskusstvennym intellektom: Monografiya. M: Radio i svyaz , 1990. - 264 s.
Edvinsson L., Malone M.S. Intellectual Capital: Realizing your company s true value by finding its hidden brainpower. NY, Harper Business, 1997. - 240 p.
Edvinsson L. Korporativnaya dolgota. Navigatsiya v ekonomike, osnovannoy na znaniyakh / per. s angl. M.: Infra-M, 2005. - 248 c.
Sveiby K.E. The New Organizational Wealth: Managing and Measuring Knowledge Based Assets. San-Francisco, Berrett Koehler, CA, 1997. URL: http://www.sveiby.com/articles/MeasureIntangibleAssets.html.
Fedotova M.A., Dresvyannikova V.A., Loseva O.V. i dr. Intellektual nyy kapital organizatsii: upravlenie i otsenka. M.: Finansovyy universitet pri Pravitel stve RF, 2014. - 252 s.
Abdikeev N.M. Upravlenie intellektual nym kapitalom organizatsii // Innovatsionnoe razvitie Rossii: problemy i resheniya / Pod red. M.A. Eskindarova, S.N. Sil vestrova. 2-e izd., pererab. i dop. M.: ANKIL, 2014. S. 603-634.
Abdikeev N. Valuation of intellectual capital and intangible assets created based on innovative products and intellectual property. // Proceedings of the International Conference on Creativity and Innovation / Editor: Fangqi Xu / Japan Creativity Society, The Institute for Creative Management and Innovation, Kindai University, Osaka, Japan, September 10-12, 2018, pp. 557-569. URL: http://www.icciosaka2018.net/
Drobik A., Raskino M., Flint D., etc. (2002) The Gartner definition of real-time enterprise. URL: https:// www.gartner.com /doc/372176/gartner-definition-realtime-enterprise
Real-time big data analytics for the enterprise / White paper. Intel Corporation, 2014. Elektronnyy resurs : https://www.intel.com/ content/dam/www/public/us/en/documents/white-papers/big-data-hadoop-real-time-analytics-for-the-enterprise-paper.pdf
Abdikeev N.M. Proektirovanie intellektual nykh sistem v ekonomike: Uchebnik. M.: Ekzamen, 2004. - 528 s.
Novak J., Ca as A. (2006). The Theory Underlying Concept Maps and How To Construct and Use Them / Institute for Human and Machine Cognition. Accessed 24 Nov 2008.
https://bluecrux.com/wp-content/uploads/2018/05/IDC-Future Scape-Worldwide-Manufacturing-2018-Predictions.pdf
Abdikeev N.M., Averkin A.N., D yakonova L.P. i dr. Kognitivnaya biznes-analitika: Uchebnik / Pod red. N.M. Abdikeeva. M.: INFRA-M, 2011. - 511 s.
Abdikeev N.M. Tekhnologii kognitivnogo menedzhmenta v tsifrovoy ekonomike // Mir novoy ekonomiki. 2017. №3. S. 24-28.
Solov ev V.I. Analiz dannykh v ekonomike: teoriya veroyatnostey, prikladnaya statistika, obrabotka i vizualizatsiya dannykh v Microsoft Excel: Uchebnik. M.: KNORUS., 2019. - 498 s.
Abdikeev N.M. Intellektual nye informatsionnye sistemy: Uchebnik. M.: KOS-INF, Ros. Ekon. Akad., 2003. - 188 s.
Keywords:
cognitive model, artificial intelligence, knowledge base, intellectual capital, digital enterprise, conceptual map.
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