ARTIFICIAL INTELLIGENCE, BIG DATA AND RESPONSIBLE CONSUMPTION AS AN IMPERATIVE FOR THE INNOVATIVE DEVELOPMENT OF BUSINESS STRUCTURES IN THE CONDITIONS OF THE FORMATION OF A DIGITAL ECONOMY
Abstract
The lack of a unified approach to the procedures for the analysis and evaluation of innovative development aimed at the introduction of new technologies, along with large differences in the tasks that need to be solved for information modernization with the help of artificial intelligence (AI), cloud technologies, analysis of large volumes of data and other digital technologies, requires the development of a comprehensive strategy to ensure the competitiveness of business structures and their digital sustainability. The research is based on the analysis of current trends in AI, Big Data, and responsible consumption. The task of the research is to study the methods, tools and strategies used by companies to achieve innovative development in the conditions of the formation of the digital economy. In particular, the purpose of the article is to determine the impact of AI and Big Data on the formation of responsible consumption strategies in the business environment, as well as to assess the impact of innovative technologies on the sustainability of business models and the formation of new principles of responsible business.The authors have also looked at examples of successful implementation of these technologies in the business sector. The article highlights the importance of these technologies in today's world and analyzes their potential benefits and challenges for enterprises. The authors explore how the use of artificial intelligence and analysis of large volumes of data can contribute to business development by providing more accurate forecasting, improving production processes, and increasing responsibility towards consumers and the environment. The components of the innovative development of business structures in the context of the formation of a digital economy are identified, including optimization through digitization, flexibility and automation of assets, decentralization of the supply chain with the involvement of small production facilities, priorities in procurement. It was determined that by analyzing and forecasting consumer behavior, increasing transparency of the supply chain, developing ecologically and socially oriented products and increasing consumer awareness, business can contribute to the transition to more sustainable and responsible digital development.
References
American Society for Quality (ASQ). Digital Transformation in the Utilities Industry Survey Report. URL: https://asq.org/quality-resources/benchmarking/digital-transformation-in-the-utilities-industry-survey-report?id=1d7c7e9f7c8d4866bfcffdf51527f655 (дата звернення: 14.03.2024).
Awishkar, Ghimire., Surendrabikram, Thapa., Avinash, Kumar, Jha., Surabhi, Adhikari., Ankit, Kumar. Accelerating Business Growth with Big Data and Artificial Intelligence. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) doi: 10.1109/I-SMAC49090.2020.9243318
Bartosz, Mickiewicz., Katsiaryna, Volkava. Digitalization and ITS relationship with innovative development of the economy. VUZF Review, vol. 7, no. 2, 2022, pp. 41-52, doi: 10.38188/2534-9228.22.2.04
Digital Business Transformation by Cisco. URL: https://www.cisco.com/c/dam/global/en_au/home/digital_business_transformation_by_cisco_v13.pdf (дата звернення: 15.03.2024).
Djuro, Klipa., Igor, Ristić., Aleksandar, Radonjic., Ivo, Scepanovic. Big data and artificial intelligence. International Journal of Management Trends. Vol. 1 No. 1 (2022) doi: 10.58898/ijmt.v1i1.03-14
Fang, Gao, Lan, Zhang. (2020). Application of Artificial Intelligence and Big Data Technology in Digital Marketing. ISBDAI '20: Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence. 2020. P. 270–272 DOI: 10.1145/3436286.3436404
Georges, Dagher. Big data, artificial intelligence and ethics. International Journal for Research and Ethics, 2022. рp. 43–56 DOI: 10.51766/ijre.v5i1.104
Hana, Ait, Si, Ahmad., Haji, W, Mustafa. The impact of artificial intelligence, big data analytics and business intelligence on transforming capability and digital transformation in Jordanian telecommunication firms. International journal of data and network science, 2022. рp. 68–75 DOI: 10.5267/j.ijdns.2022.3.009
I. Trunina, M. Bilyk and Y. Yakovenko. Artificial Intelligence from Industry 5.0 Perspective: Threats and Challenges. 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES), Kremenchuk, Ukraine, 2023, pp. 1–5, DOI: 10.1109/MEES61502.2023.10402468.
Струтинська І. В. Інформаційні технології організації бізнесу – імператив інноваційного розвитку бізнес-структур. Галицький економічний вісник. 2018. Т. 55. № 2. С. 40–49.
Jing, Yang., Yaping, Wan. The development trend of artificial intelligence in the big data environment. 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI) doi: 10.1109/iwecai55315.2022.00064
Junfeng, Zhao. (2022). Research on the Impact of Digital Economy on Consumption in the Era of Big Data. 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) doi: 10.1109/imcec55388.2022.10019836
Lili, Wang., Liuyang, Zhao. Digital Economy Meets Artificial Intelligence: Forecasting Economic Conditions Based on Big Data Analytics. Mobile Information Systems, 2022. Р. 45-57 doi: 10.1155/2022/7014874
Труніна І. М., Білик М. Ю. Управління конкурентоспроможністю закладів вищої освіти. Центральноукраїнський науковий вісник. Економічні науки. 2020. № 5 (38). С. 197—206. doi.org/10.32515/2663-1636.2020.5(38).197-206
Lakiza, V. Big data in the conditions of innovative development of the digital economy. Internauka. no 11, pp. 208-215., DOI: 10.25313/2520-2294-2022-11-8428
Ховрак І. В., Приз М.Ю. Міжнародна міграція висококваліфікованих та наукових кадрів: участь України . Економічний простір. 2017. № 69. С. 24–32
Y. Y. Yakovenko, M. Y. Bilyk and Y. V. Oliinyk. The Transformative Impact of the Development of Artificial Intelligence on Employment and Work Motivation in Business in the Conditions of the Information Economy. 2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES), Kremenchuk, Ukraine, 2022, pp. 01-06, doi: 10.1109/MEES58014.2022.10005652.
Yakovenko, Y., Shaptala, R. Intelligent Process Automation, Robotic Process Automation and Artificial Intelligence for Business Processes Transformation. Globalisation processes in the world economy: problems, trends, prospects. Baltija Publishing, 2023. 528 p., pp. 496–521.
Yuliia, Horiashchenko. Decomposition of management processes innovative development of enterprises in the conditions of the digital economy. Economic Journal of Lesya Ukrainka Volyn National University, 2021. Vol. 2(26), pp. 102–107 DOI: 10.29038/2411-4014-2021-02-102-107
Іryna, Kychko., Maksym, Zabashtanskyi. Business structure in the conditions of the digital economy: economic and social efficiency. Проблеми і перспективи економіки та управління, 2022, p. 31–42 DOI: 10.25140/2411-5215-2022-3(31)-7-18
Касич А. О., Яковенко Я.Ю. Дью Дилидженс як ключовий інструмент аналізу доцільності інвестування. Облік і фінанси. 2015. № 4 (70). С. 92–97.
Яковенко Я. Ю. Формування та реалізація стратегії стійкого розвитку промислових підприємств: дис. ... д-ра філос.: 051. Кременчук, 2020. 279 с.
Kratt, O., Pryakhina, K., Bilyk, M. Ukrainian-Chinese collaboration: Prospects of development. SHS Web of Conferences, 39. 2017 DOI: 10.1051/shsconf/20173901014
American Society for Quality (ASQ). Digital Transformation in the Utilities Industry Survey Report. Available at: https://asq.org/quality-resources/benchmarking/digital-transformation-in-the-utilities-industry-survey-report?id=1d7c7e9f7c8d4866bfcffdf51527f655 (accessed March 14, 2024).
Awishkar Ghimire., Surendrabikram Thapa, Avinash Kumar, Jha Surabhi, Adhikari Ankit Kumar (2020). Accelerating Business Growth with Big Data and Artificial Intelligence. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) doi: 10.1109/I-SMAC49090.2020.9243318
Bartosz, Mickiewicz., Katsiaryna, Volkava. (2022). Digitalization and ITS relationship with innovative development of the economy. VUZF Review, vol. 7, no. 2, pp. 41-52, doi: 10.38188/2534-9228.22.2.04
Digital Business Transformation by Cisco. Available at: https://www.cisco.com/c/dam/global/en_au/home/digital_business_transformation_by_cisco_v13.pdf (accessed March 15, 2024).
Djuro, Klipa., Igor, Ristić., Aleksandar, Radonjic., Ivo, Scepanovic. (2022). Big data and artificial intelligence. International Journal of Management Trends. Vol. 1 No. 1. doi: 10.58898/ijmt.v1i1.03-14
Fang, Gao., Lan, Zhang. (2020). Application of Artificial Intelligence and Big Data Technology in Digital Marketing. ISBDAI '20: Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence, P. 270–272 doi: 10.1145/3436286.3436404
Georges, Dagher. (2022). Big data, artificial intelligence and ethics. International Journal for Research and Ethics, р. 43-56 doi: 10.51766/ijre.v5i1.104
Hana, Ait, Si, Ahmad., Haji, W, Mustafa. (2022). The impact of artificial intelligence, big data analytics and business intelligence on transforming capability and digital transformation in Jordanian telecommunication firms. International journal of data and network science, р. 68-75 doi: 10.5267/j.ijdns.2022.3.009
I. Trunina, M. Bilyk and Y. Yakovenko (2023). Artificial Intelligence from Industry 5.0 Perspective: Threats and Challenges, 2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES), Kremenchuk, Ukraine, 2023, pp. 1-5, doi: 10.1109/MEES61502.2023.10402468.
Strutynska I. (2018). Informatsiyni tekhnolohiyi orhanizatsiyi biznesu – imperatyv innovatsiynoho rozvytku biznes-struktur. [Information technologies of business organization as an imperative of business structure innovative development]. Halytsʹkyy ekonomichnyy visnyk. vol. 55. no. 2. pp. 40–49.
Jing, Yang., Yaping, Wan. (2022). The development trend of artificial intelligence in the big data environment. 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI) DOI: 10.1109/iwecai55315.2022.00064
Junfeng, Zhao (2022). Research on the Impact of Digital Economy on Consumption in the Era of Big Data. 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) doi: 10.1109/imcec55388.2022.10019836
Lili, Wang., Liuyang, Zhao. (2022). Digital Economy Meets Artificial Intelligence: Forecasting Economic Conditions Based on Big Data Analytics. Mobile Information Systems, pp. 45–57 DOI: 10.1155/2022/7014874
Trunina, I. M., Bilyk, M. Yu. (2020). Upravlinnia konkurentospromozhnistiu zakladiv vyshchoi osvity [Management of competitiveness of higher education institutions]. Tsentralnoukrainskyi naukovyi visnyk. Ekonomichni nauky. 5 (38), 197–206. doi.org/10.32515/2663-1636.2020.5(38).197-206
Lakiza, V. (2022). Big data in the conditions of innovative development of the digital economy. Internauka. Series: Economic Sciences, no 11, pp. 208-215. DOI: 10.25313/2520-2294-2022-11-8428
Khovrak I., Pryz M. Mizhnarodna mihratsiya vysokokvalifikovanykh ta naukovykh kadriv: uchastʹ Ukrayiny [International migration of highly qualified and scientific personnel: participation of Ukraine] . Ekonomichnyy prostir. 2017. № 69. pp. 24–32.
Yakovenko, Y. Bilyk, M. and Oliinyk, Y. (2022). The Transformative Impact of the Development of Artificial Intelligence on Employment and Work Motivation in Business in the Conditions of the Information Economy. 2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES), Kremenchuk, Ukraine, 2022, pp. 01–06, DOI: 10.1109/MEES58014.2022.10005652.
Yakovenko, Y., Shaptala, R. (2023) Intelligent Process Automation, Robotic Process Automation and Artificial Intelligence for Business Processes Transformation. Globalisation processes in the world economy: problems, trends, prospects. Baltija Publishing, pp. 496-521.
Horiashchenko Y. (2021). Decomposition of management processes innovative development of enterprises in the conditions of the digital economy. Economic Journal of Lesya Ukrainka Volyn National University, 2021. vol. 2(26), pp. 102–107 DOI: 10.29038/2411-4014-2021-02-102-107
Kychko І., Zabashtanskyi M. (2022). Business structure in the conditions of the digital economy: economic and social efficiency. Problemy i perspektyvy ekonomiky ta upravlinnya, pp. 31–42 DOI: 10.25140/2411-5215-2022-3(31)-7-18
Kasych A., Yakovenko Y. (2015) Dʹyu Dylydzhens yak klyuchovyy instrument analizu dotsilʹnosti investuvannya [Due Diligence as a key tool for analyzing investment feasibility]. Oblik i finansy. 2015. no 4 (70). pp. 92–97.
Yakovenko Y. (2020) Formuvannya ta realizatsiya stratehiyi stiykoho rozvytku promyslovykh pidpryyemstv [Formation and implementation of the strategy of sustainable development of industrial enterprises]: dissertation. Kremenchuk,. 279 p.
Kratt, O., Pryakhina, K., Bilyk, M. (2017) Ukrainian-Chinese collaboration: Prospects of development. SHS Web of Conferences, no 39. 2017 DOI: 10.1051/shsconf/20173901014
This work is licensed under a Creative Commons Attribution 4.0 International License.
