Artificial Intelligence Technologies for Small and Micro Enterprises: Application Recommendations for Improving Operational Efficiency
( Pp. 64-77)
More about authors
Ignatova Victoria A.
lecturer, Department of Industrial Programming; Institute for Advanced Technologies and Industrial Programming, .
MIREA – Russian Technological University
Moscow, Russian Federation Kuzmin Gleb N. senior lecturer, Department of Industrial Programming; Institute for Advanced Technologies and Industrial Programming; MIREA – Russian Technological University; Moscow, Russian Federation
MIREA – Russian Technological University
Moscow, Russian Federation Kuzmin Gleb N. senior lecturer, Department of Industrial Programming; Institute for Advanced Technologies and Industrial Programming; MIREA – Russian Technological University; Moscow, Russian Federation
Abstract:
This article explores the potential application of artificial intelligence (AI) technologies to enhance the operational efficiency of small and micro-enterprises (SMEs) in Russia. The aim of the study is to generalize experience and develop recommendations. Considering the limited resources and specificity of SME activities, the authors examine the challenges faced by these enterprises, as well as the broader technological context. Utilizing computer technologies and data analysis, the authors extracted descriptions of SME representatives’ experiences from the russian professional social network TenChat. The extracted algorithmic themes were expertly transformed into directions for the application of AI technology and formed the basis for the development of practical recommendations. The study formulated conclusions on possible directions for the application of AI technologies, including marketing and customer service, automation and optimization of routine tasks, data analysis, and process optimization. The developed recommendations include strategic decisions, AI reactivity, team management, operational activity provisioning, and data management. The results of the study are of interest to entrepreneurs, SME managers, and researchers seeking to enhance business efficiency through AI technologies.
How to Cite:
Ignatova V.A., Kuzmin G.N. Artificial Intelligence Technologies for Small and Micro Enterprises: Application Recommendations for Improving Operational Efficiency. Computational Nanotechnology. 2024. Vol. 11. No. 5. Pp. 64–77. (In Rus.). DOI: 10.33693/2313-223X-2024-11-5-64-77. EDN: BSDLKF
Reference list:
Barinova V.A., Zemtsov S.P., Tsareva Yu.V. In search of entrepreneurship in Russia. Part I. What Prevents Small and Medium Businesses from Developing. Moscow: Delo, 2023.
Nevmyvako V.P. Digital economy and Industry 4.0: New challenges for small and medium businesses. Problems of Market Economy. 2021. No. 1. Pp. 96–109. (In Rus.)
Khudaiberdiev O.A. Industry 4.0 as an innovative environment of opportunities for small entrepreneurship. Bulletin of the Plekhanov Russian University of Economics. 2023. No. 4. Pp. 194–201. (In Rus.)
DaSilva C.M., Trkman P. Business model: What it is and what it is not. Long Range Planning. 2014. Vol. 47. No. 6. Pp. 379–389.
Osterwalder A. et al. Value proposition design: How to create products and services customers want. John Wiley & Sons, 2015.
Novakova O.N. Problems of improving the efficiency of enterprise operations. Symbol of Science. 2016. No. 9-1. Pp. 127–130. (In Rus.)
Strekalova N.D. Business model concept: methodology of systems analysis. Bulletin of the Russian State Pedagogical University named after A.I. Herzen. 2009. No. 92. Pp. 95–105. (In Rus.)
Zenevich D.A. Operational efficiency and reserves for its improvement. In: Engineering economics. Collection of materials of the 79th student scientific and technical conference, section “Engineering economics”. Minsk: BNTU, 2023. Pp. 98–101.
Martianova A.I. И. Internet trade as a factor in small business development. Scientific Electronic Journal “Academic Journalism”. 2023. No. 9-2. Pp. 81–85. (In Rus.)
Novoseltseva G.B., Rasskazova N.V. Prospects for small business in the digital economy. Issues of Innovative Economics. 2020. No. 10 (1). Pp. 521–532. (In Rus.)
Gladilina I.P., Litvenko I.Yu., Kiryukhina E.O. Modern management technologies and Industry 4.0. Financial Markets and Banks. 2021. No. 12. Pp. 21–23. (In Rus.)
Vaswani A., Shazeer N., Parmar N. et al. Attention is all you need. In: Advances in neural information processing systems. 2017. P. 30.
Bang Y., Cahyawijaya S., Lee N. et al. A multitask, multilingual, multimodal evaluation of chatGpt on reasoning, hallucination, and interactivity. arXiv preprint arXiv:2302.04023, 2023.
Sridhara G., Mazumdar S. ChatGpt: A study on its utility for ubiquitous software engineering tasks. arXiv preprint arXiv:2305.16837, 2023.
Tishchenko S.A., Shakhmuradyan M.A. Machine learning methods in small business: Content and management. Bulletin of the Plekhanov Russian University of Economics. 2019. No. 6 (108). (In Rus.)
Mezentsev D.A. Применение искусственного интеллекта в управлении малым и средним бизнесом // Экономические и социально-гуманитарные исследования. 2023. № 3 (39). С. 102–107.
Popova E.V. Application of artificial intelligence in small and medium business management. Economic and Social-Humanitarian Studies. 2023. No. 3 (39). Pp. 102–107. (In Rus.)
Khan, A.A., Laghari, A.A., Li, P. et al. The collaborative role of blockchain, artificial intelligence, and industrial internet of things in digitalization of small and medium-size enterprises. Sci Rep. 2023. No. 13. P. 1656.
Nevmyvako V.P. Digital economy and Industry 4.0: New challenges for small and medium businesses. Problems of Market Economy. 2021. No. 1. Pp. 96–109. (In Rus.)
Khudaiberdiev O.A. Industry 4.0 as an innovative environment of opportunities for small entrepreneurship. Bulletin of the Plekhanov Russian University of Economics. 2023. No. 4. Pp. 194–201. (In Rus.)
DaSilva C.M., Trkman P. Business model: What it is and what it is not. Long Range Planning. 2014. Vol. 47. No. 6. Pp. 379–389.
Osterwalder A. et al. Value proposition design: How to create products and services customers want. John Wiley & Sons, 2015.
Novakova O.N. Problems of improving the efficiency of enterprise operations. Symbol of Science. 2016. No. 9-1. Pp. 127–130. (In Rus.)
Strekalova N.D. Business model concept: methodology of systems analysis. Bulletin of the Russian State Pedagogical University named after A.I. Herzen. 2009. No. 92. Pp. 95–105. (In Rus.)
Zenevich D.A. Operational efficiency and reserves for its improvement. In: Engineering economics. Collection of materials of the 79th student scientific and technical conference, section “Engineering economics”. Minsk: BNTU, 2023. Pp. 98–101.
Martianova A.I. И. Internet trade as a factor in small business development. Scientific Electronic Journal “Academic Journalism”. 2023. No. 9-2. Pp. 81–85. (In Rus.)
Novoseltseva G.B., Rasskazova N.V. Prospects for small business in the digital economy. Issues of Innovative Economics. 2020. No. 10 (1). Pp. 521–532. (In Rus.)
Gladilina I.P., Litvenko I.Yu., Kiryukhina E.O. Modern management technologies and Industry 4.0. Financial Markets and Banks. 2021. No. 12. Pp. 21–23. (In Rus.)
Vaswani A., Shazeer N., Parmar N. et al. Attention is all you need. In: Advances in neural information processing systems. 2017. P. 30.
Bang Y., Cahyawijaya S., Lee N. et al. A multitask, multilingual, multimodal evaluation of chatGpt on reasoning, hallucination, and interactivity. arXiv preprint arXiv:2302.04023, 2023.
Sridhara G., Mazumdar S. ChatGpt: A study on its utility for ubiquitous software engineering tasks. arXiv preprint arXiv:2305.16837, 2023.
Tishchenko S.A., Shakhmuradyan M.A. Machine learning methods in small business: Content and management. Bulletin of the Plekhanov Russian University of Economics. 2019. No. 6 (108). (In Rus.)
Mezentsev D.A. Применение искусственного интеллекта в управлении малым и средним бизнесом // Экономические и социально-гуманитарные исследования. 2023. № 3 (39). С. 102–107.
Popova E.V. Application of artificial intelligence in small and medium business management. Economic and Social-Humanitarian Studies. 2023. No. 3 (39). Pp. 102–107. (In Rus.)
Khan, A.A., Laghari, A.A., Li, P. et al. The collaborative role of blockchain, artificial intelligence, and industrial internet of things in digitalization of small and medium-size enterprises. Sci Rep. 2023. No. 13. P. 1656.
Keywords:
small enterprise, artificial intelligence, augmentation, operational efficiency.
Related Articles
THEORETICAL AND HISTORICAL LEGAL SCIENCES Pages: 14-19 Issue №24576
Evolution of the Understanding of Aspects of Authorship Related to the Use of Artificial Intelligence in the United States of America
artificial intelligence
theory of law
concept of authorship
generative art
digital technologies.
Show more
8. CIVIL LAW, BUSINESS LAW, FAMILY LAW; PRIVATE INTERNATIONAL LAW 12.00.03 Pages: 132-138 Issue №19821
The Legal Regime of Protection of Big Data as Part of Artificial Intelligence Systems
big data
artificial intelligence
database
object of related rights
personal data
Show more
5. CIVIL LAW, BUSINESS LAW, FAMILY LAW; PRIVATE INTERNATIONAL LAW 12.00.03 Pages: 165-171 Issue №17852
Features and prospects of the reform of the Russian legislation in the sphere of digitalization
digitalization
information and analytical systems
legal regulation
personal data protection
information security
Show more
REGIONAL AND SECTORAL ECONOMICS Pages: 185-191 Issue №24067
Risks of Artificial Intelligence Development in Selected Branches of Russian Economy
risks
artificial intelligence
investment climate
development programmes and projects.
Show more
Social and Political Philosophy Pages: 202-206 DOI: 10.33693/2223-0092-2024-14-4-202-206 Issue №131736
Artificial Intelligence vs Human Mind
philosophical knowledge
artificial intelligence
social and philosophical understanding
ethical problems
philosophy
Show more
Sociology of Management Pages: 203-209 DOI: 10.33693/2223-0092-2024-14-6-203-209 Issue №169134
How Films about Artificial Intelligence Influence the Attitude of Metropolitan Residents Towards Smart City Technologies
artificial intelligence
cinema
trust
cinema
culture
Show more
3. PRIVATE LAW (CIVIL) DISCIPLINES Pages: 142-150 Issue №19964
Modern Military Technologies and the Responsibility of a Scientist, Creator, Operator, etc.: Some Approaches of the BRICS Countries
BRICS countries
Russia
China
new military technologies
unmanned vehicles
Show more
PRIVATE LAW (CIVIL) Pages: 131-137 DOI: 10.33693/2541-8025-2023-19-1-131-137 Issue №24449
Legal Regulation of PropTech in the USA
PropTech
property technologies
real estate deals
artificial intelligence
distributed ledger technologies
Show more
Уголовно-правовые науки (юридические науки) Pages: 158-165 Issue №108273
Artificial Intelligence in Forensic Automotive Expertise
artificial intelligence
forensic automotive expertise
investigation of the technical condition of the vehicle
solving routine tasks of forensic examination.
Show more
Sociology of Management Pages: 177-185 DOI: 10.33693/2223-0092-2024-14-4-177-185 Issue №131736
Practice of Managing Social Role in a Smart City Using Marketplaces as an Example
social role
sociology of management
marketplace
Ozone
urban agglomeration
Show more