The Impact of Artificial Intelligence on Business Strategy Formation in the Digital Economy
DOI:
https://doi.org/10.64137/XXXXXXXX/IJEBMR-V1I1P105Keywords:
Artificial intelligence, Business strategy, Digital economy, Machine learning, Strategic planning, Decision-making, Innovation, Data analyticsAbstract
Through AI, companies in the digital economy can make better decisions, handle their operations more efficiently and build up their competitiveness. This paper explores the various ways AI impacts business strategies by linking information from data to common strategic guidance. It analyzes many industries by explaining how technology such as machine learning, natural language processing and robotics process automation shape strategy, market studies, customer interaction and new ideas. Important case studies demonstrate how AI is effectively utilised in business strategies, guiding companies seeking to succeed in the digital age. Matters involving ethics, data privacy and complicated system integration are included in these debates. The combination of scholarly sources and case studies in the study outlines the main strategy aspects of AI and recommends an approach for adopting it well in business strategy. According to the findings, AI improves a company’s ability to respond fast, but it has to fit into what the organization aims for and its environment if it is to succeed
References
[1] Porter, M. E., & Heppelmann, J. E. (2017). Why every organization needs an augmented reality strategy. Hbr’s 10 Must, 85, 2-18.
[2] Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business horizons, 62(1), 15-25.
[3] Brynjolfsson, E., & McAfee, A. N. D. R. E. W. (2017). The business of artificial intelligence. Harvard business review, 7(1), 1-2.
[4] Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.
[5] Binns, R. (2018, January). Fairness in machine learning: Lessons from political philosophy. In Conference on fairness, accountability and transparency (pp. 149-159). PMLR.
[6] Shrestha, Y. R., Ben-Menahem, S. M., & Von Krogh, G. (2019). Organizational decision-making structures in the age of artificial intelligence. California management review, 61(4), 66-83.
[7] Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Modelling the impact of AI on the world economy. McKinsey Global Institute, 4(1).
[8] Cockburn, I. M., Henderson, R., & Stern, S. (2018). The impact of artificial intelligence on innovation (Vol. 24449). Cambridge, MA, USA: National bureau of economic research.
[9] Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994.
[10] Lee, I. (2017). Big data: Dimensions, evolution, impacts, and challenges. Business horizons, 60(3), 293-303.
[11] Rai, A. (2020). Explainable AI: From black box to glass box. Journal of the academy of marketing science, 48, 137-141.
[12] Maslak, O. I., Maslak, M. V., Grishko, N. Y., Hlazunova, O. O., Pererva, P. G., & Yakovenko, Y. Y. (2021, September). Artificial intelligence is a key driver of business operations transformation in the digital economy. In 2021, the IEEE International Conference on Modern Electrical and Energy Systems (MEES) (pp. 1-5). IEEE.
[13] Lavrentyeva, A. V., Dzikia, A. A., Kalinina, A. E., Frolov, D. P., Akhverdiev, E. A., & Barakova, A. S. (2019, March). Artificial Intelligence and Digital Transformation in Society. In IOP Conference Series: Materials Science and Engineering (Vol. 483, No. 1, p. 012019). IOP Publishing.
[14] Kitsios, F., & Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability, 13(4), 2025.
[15] Perifanis, N. A., & Kitsios, F. (2023). Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review. Information, 14(2), 85.
