Global trends, local solutions: how does artificial intelligence change the management culture in a large industrial company
Research Article
How to Cite
Salogub A.M., Bessonov N.A. Global trends, local solutions: how does artificial intelligence change the management culture in a large industrial company. Humanities of the South of Russia. 2025. Vol. 14. No. 1. P. 74-87. DOI: https://doi.org/10.18522/2227-8656.2025.1.4 (in Russ.).
Abstract
Objective of the study is to characterize the factorial influence of global and local trends in the field of artificial intelligence on socio-cultural and socio-economic variability of management culture.
The methodological basis of the study. The conditions for the modification of management culture in terms of globalization and localization of artificial intelligence are presented within the framework of the composite terminological formations of the categories “management culture” and “artificial intelligence”.
Results of the study. An analysis of the state of globalization and localization of AI entities within the oil and gas industry highlights the following: there are positive trends in the joint use of localized and integrated artificial intelligence solutions in the oil and gas industry at the industrial and interindustrial levels.
Prospects of the study are related to the need to display consistency in the mutual execution of the trend formations of globalization and localization in relation to the technical and technological implementation of artificial intelligence systems in large industrial sectors.
Keywords:
global trends, globalization, localization, management, culture, artificial intelligence, multinational company, industrial company, oil and gas industry
References
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Solanke B., Onit F. B., Ochulor O., Iriogbe H. The impact of artificial intelligence on regulatory compliance in the oil and gas industry. International Journal of Science and Technology Research Archive. 2024; 7 (7): 061-072.
Van Rensburg N. J. Autonomous Well Surveillance for ESP Pumps UsingArtificial Intelligence. SPE Oil and Gas India Conference and Exhibition, Mumbai. 2019.
Belova N. V. Transformation of HR technologies in the oil and gas sector: implementation of artificial intelligence. Zhurnal prikladnykh issledovaniy = Journal of Applied Research. 2021; 4-4: 47-51. DOI 10.47576/2712-7516_2021_4_4_47 (In Russ.).
Golubetskaya N. P., Burgonov O. V., Smeshko O. G. The Impact of Digital Technologies on the Modernization of Management of Russian Oil and Gas Companies in the Context of Global Challenges. Ekonomika i upravleniye = Economics and Management. 2022; 28 (10): 1064-1073. DOI 10.35854/1998-1627-2022-10-1064-1073 (In Russ.).
Eremin N. A., Selenginsky D. A. On the Possibilities of Applying Artificial Intelligence Methods in Solving Oil and Gas Problems. Izvestiya Tul'skogo gosudarstvennogo universiteta. Nauki o Zemle = Bulletin of Tula State University. Earth Sciences. 2023; 1-1: 201-211. DOI 10.46689/2218-5194-2023-1-1-201-211 (In Russ.).
Kaznacheev P. F., Samoilova R. V., Kurchiski N. V. Application of artificial intelligence methods to improve efficiency in the oil and gas and other raw materials industries. Ekonomicheskaya politika = Economic policy. 2016; 11; 5: 188-197. DOI 10.18288/1994-5124-2016-5-09 (In Russ.).
Kalashnikova I. V., Sigitova M. A. Change management: archetypes of corporate transformations and the problematic field of management. Vestnik TOGU = Bulletin of Pacific National University. 2022; 3 (66): 63-74 (In Russ.).
Kanygin G. V., Khoreva L. V. Conceptual modeling of ESG ratings: a new approach to making collective decisions. Mezhdunarodnyy nauchno-issledovatel'skiy zhurnal = International Research Journal. 2022; 1-3 (115): 24-29. DOI 10.23670/IRJ.2022.115.1.074 (In Russ.).
Kuklina E. A., Dementyev K. I. ESdiGital transformation of Russian oil and gas companies: risks and assessments. Upravlencheskoye konsul'tirovaniye = Management Consulting. 2023; 7 (175): 53-71. DOI 10.22394/1726-1139-2023-7-53-71 (In Russ.).
Kulbikov A. D., Kuchukbaev G. I., Nigmatzyanov I. M. [et al.]. Intelligent systems in well drilling. Innovatsii i investitsii = Innovations and investments. 2023; 7: 172-175 (In Russ.)
Kulchitsky, V. V. Geosupervising – synergy of digital professions, specialties and science in the oil and gas industry. Rossiya: tendentsii i perspektivy razvitiya: Yezhegodnik, Kursk, 05-06 iyunya 2018 goda / Institut nauchnoy informatsii po obshchestvennym naukam Rossiyskoy akademii nauk; Otvetstvennyy redaktor V. I. Gerasimov. Tom Vypusk 13 Chast' 2. Kursk: Institut nauchnoy informatsii po obshchestvennym naukam RAN = Russia: trends and development prospects: Yearbook, Kursk, June 5-6, 2018. Institute of Scientific Information on Social Sciences of the Russian Academy of Sciences; Editor-in-chief V. I. Gerasimov. Volume Issue 13 Part 2. Kursk: Institute of Scientific Information on Social Sciences of the Russian Academy of Sciences. 2018: 823-827 (In Russ.).
Perednya D. G. Management culture and management culture: on the issue of distinguishing between concepts. Vestnik Moskovskogo gosudarstvennogo lingvisticheskogo universiteta. Obshchestvennyye nauki = Bulletin of the Moscow State Linguistic University. Social Sciences. 2022; 1 (846): 123-129. DOI 10.52070/2500-347X_2022_1_846_123 (In Russ.).
Polovova T. A., Suldina G. A., Telkov O. A. Prospects for the Development of Digital Platform Solutions at Oil and Gas Enterprises in the Context of Sanction Restrictions. Finansovyye rynki i banki = Financial Markets and Banks. 2023; 2: 117-119 (In Russ.).
Boschee P. Comments: A Practical Challenge to Scaling Up Low-Carbon Energy Systems: Technical Talent. Journal of Petroleum Technology. 2023; 75; 10: 10-11. DOI 10.2118/1023-0010-jpt.
Castro D., New J. The Promise of Artificial Intelligence. Center for data innovation. 2016; 44 p. Available from: http://www2.datainnovation.org/2016-promise-of-ai.pdf. Accessed 27.11.24.
Choubey S., Karmakar G. P. Artificial intelligence techniques and their application in oil and gas industry. Artificial Intelligence Review. 2021; 54: 1-19.
Elliot Kizzy Nkem, Damingo Levi Application of artificial intelligence in the oil and gas industry. International Research Journal of Modernization in Engineering Technology and Science. 2024; 6: 2582-5208.
J. X. Li, Tiancheng Zh., Yiran Zh., Zhongwei Ch. Artificial General Intelligence (AGI) for the oil and gas industry: a review. 2024.
Odili P., Daudu C., Adefemi A., Ekemezie I., Usiagu G. The impact of artificial intelligence on recruitment and selection processes in the oil and gas industry: a review. Engineering Science & Technology Journal. 2024; 5: 612-638.
Pham S. T., Vo P. S., Nguyen D. N. Effective Electrical Submersible Pump Management Using Machine Learning. Open Journal of Civil Engineering. 2021; 11 (2): 70-80.
Solanke B., Onit F. B., Ochulor O., Iriogbe H. The impact of artificial intelligence on regulatory compliance in the oil and gas industry. International Journal of Science and Technology Research Archive. 2024; 7 (7): 061-072.
Van Rensburg N. J. Autonomous Well Surveillance for ESP Pumps UsingArtificial Intelligence. SPE Oil and Gas India Conference and Exhibition, Mumbai. 2019.
Article
Received: 25.12.2024
Accepted: 25.02.2025
Citation Formats
Other cite formats:
APA
Salogub, A. M., & Bessonov, N. A. (2025). Global trends, local solutions: how does artificial intelligence change the management culture in a large industrial company. Humanities of the South of Russia, 14(1), 74-87. https://doi.org/10.18522/2227-8656.2025.1.4
Section
SOCIAL STRUCTURE AND SOCIAL INSTITUTIONS IN MODERN SOCIETY
