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Digest Finance
 

Artificial intelligence and transformation of management

Vol. 25, Iss. 2, JUNE 2020

PDF  Article PDF Version

Received: 17 February 2020

Received in revised form: 5 March 2020

Accepted: 25 March 2020

Available online: 2 July 2020

Subject Heading: INNOVATION AND INVESTMENT

JEL Classification: G31, G32

Pages: 192–204

https://doi.org/10.24891/df.25.2.192

Nikulin L.F. Plekhanov Russian University of Economics (PRUE), Moscow, Russian Federation
Nikulin.LF@rea.ru

ORCID id: not available

Velikorossov V.V. Plekhanov Russian University of Economics (PRUE), Moscow, Russian Federation
corp.innovation@rea.ru

https://orcid.org/0000-0001-5845-4820

Filin S.A. Plekhanov Russian University of Economics (PRUE), Moscow, Russian Federation
Filin.SA@rea.ru

https://orcid.org/0000-0002-6054-6510

Lanchakov A.B. Moscow Institute of Physics and Technology (National Research University) (MIPT), Moscow, Russian Federation
ab5657171@yandex.ru

ORCID id: not available

Subject. The article discusses how management transforms as artificial intelligence gets more important in governance, production and social life.
Objectives. We identify and substantiate trends in management transformation as artificial intelligence evolves and gets more important in governance, production and social life. The article also provides our suggestions for management and training of managers dealing with artificial intelligence.
Methods. The study employs methods of logic research, analysis and synthesis through the systems and creative approach, methodology of technological waves.
Results. We analyzed the scope of management as is and found that threats and global challenges escalate due to the advent of artificial intelligence. We provide the rationale for recognizing the strategic culture as the self-organizing system of business process integration. We suggest and substantiate the concept of soft power with reference to strategic culture, which should be raised, inter alia, through the scientific school of conflict studies. We give our recommendations on how management and training of managers should be improved in dealing with artificial intelligence as it evolves. The novelty hereof is that we trace trends in management transformation as the role of artificial intelligence evolves and growth in governance, production and social life.
Conclusions and Relevance. Generic solutions are not very effective for the Russian management practice during the transition to the sixth and seventh waves of innovation. Any programming product represents artificial intelligence, which simulates a personality very well, though unable to substitute a manager in motivating, governing and interacting with people.

Keywords: artificial intelligence, management, Internet of Things, technology, soft power, robotics

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