Artificial intelligence: Financial management under pressure of transformative technology
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Adelakun, B. O. (2023). AI-driven financial forecasting: Innovations and implications for accounting practices. International Journal of Advanced Economics, 5(9), 323–338.
View in Google Scholar
Afroogh, S., Akbari, A., Malone, E., Kargar, M., & Alambeigi, H. (2024). Trust in AI: Progress, chanllenges, and future directions. Humanities & Social Sciences Communications, 11, 1568.
View in Google Scholar
Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2023). Re-thinking data strategy and integration for artificial intelligence: Concepts, opportunities, and challenges. Applied Sciences, 13(12), 7082.
View in Google Scholar
Bilal, M., Zhang, Y., Cai, S., Akram, U., & Halibas, A. (2024). Artificial intelligence is the magic wand making customer-centric a reality! An investigation into the relationship between consumer purchase intention and consumer engagement through affective attachment. Journal of Retailing and Consumer Services, 77, 103674.
View in Google Scholar
Chen, Y., Prentice, C., Weaven S., & Hisao, A. (2022). The influence of customer trust and artificial intelligence on customer engagement and loyalty – The case of the home-sharing industry. Frontiers in Psychology, 13, 912339.
View in Google Scholar
Cramarenco, R. E., Burcă-Voicu, M. I., & Dabija, D. C. (2023). The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review. Oeconomia Copernicana, 14(3), 731–767.
View in Google Scholar
Dávid, L. D., & Dadkhah, M. (2023). Artificial intelligence in the tourism sector: Its sustainability and innovation potential. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(3), 609–613.
View in Google Scholar
Eziefule, A. O., Adelakun, B. O., Okoye, I. N., & Attieku, J. S. (2022). The role of AI in automating routine accounting tasks: Efficiency gains and workforce implications. European Journal of Accounting, Auditing and Finance Research, 10(12), 109–134.
View in Google Scholar
Ferrara, E. (2024). Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies. Sci, 6(1), 3.
View in Google Scholar
Filippi, E., Banno, M., & Trento, S. (2023). Automation technologies and their impact on employment: A review, synthesis and future research agenda. Technological Forecasting and Social Change, 191, 122448.
View in Google Scholar
Frajtova Michalikova, K. (2023). The impact of the Internet of Things on the manufacturing industry using the TOPSIS method. Ekonomicko-manazerske spektrum, 17(1), 14–21.
View in Google Scholar
Dabija, D. C., & Vătămănescu, E.-M. (2023). Artificial intelligence: The future is already here. Oeconomia Copernicana, 14(4), 1053–1056.
View in Google Scholar
David, A., Yigitcanlar, T., Desouza, K., Li, R. Y. M., Cheong, P. H., Mehmood, R., & Corchado, J. (2024). Understanding local government responsible AI strategy: An international municipal policy document analysis. Cities, 155, 105502.
View in Google Scholar
Diaz-Rodriguez, N., Ser, J. D., Coeckelbergh, M., de Prado, M. L., Herrera-Viedma, E., & Herrera, F. (2023). Connecting the dots in trustworthy artificial intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Information Fusion, 99, 101896.
View in Google Scholar
Dihan M. S., Akash, A. I., Tasneem, Z., Das, P., Das, S. K., Islam, M. R., Islam, M. M., Badal, F. R., Ali, M. F., Ahamed, M. H., Abhi, A. H., Sarker, S. K., & Hasan, M. M. (2024). Digital twin: Data exploration, architecture, implementation and future. Heliyon, 10(5), e26503.
View in Google Scholar
Durica, M., Frnda, J., & Svabova, L. (2023). Artificial neural network and decision tree-based modelling of non-prosperity of companies. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(4), 1105–1131.
View in Google Scholar
Hidayat, M., Defitri, S. Y., & Hilman, H. (2024). The impact of artificial intelligence (AI) on financial management. Management Studies and Business Journal, 1(1), 123–129.
View in Google Scholar
Kaczorowska-Spychalska, D., Kotula, N., Mazurek, G., & Sułkowski, Łukasz. (2024). Generative AI as source of change of knowledge management paradigm. Human Technology, 20(1), 131–154.
View in Google Scholar
Kalogiannidis, S., Kalfas, D., Papaevangelou, O., Giannarakis, G., & Chatzitheodoridis, F. (2024). The role of artificial intelligence technology in predictive risk assessment for business continuity: A case study of Greece. Risks, 12(2), 19.
View in Google Scholar
Kumar, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing: What, where, and how? International Journal of Information Management, 77, 102783.
View in Google Scholar
Kureljusic, M., & Karger, E. (2023). Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda. Journal of Applied Accounting Research, 25(1), 81–104.
View in Google Scholar
Lazaroiu, G., Androniceanu, A., Grecu, I., Grecu, G., & Neguriță, O. (2022). Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing. Oeconomia Copernicana, 13(4), 1047–1080.
View in Google Scholar
Lazaroiu, G., & Rogalska, E. (2023). How generative artificial intelligence technologies shape partial job displacement and labor productivity growth. Oeconomia Copernicana, 14(3), 703–706.
View in Google Scholar
Miller, G. J. (2022). Stakeholder roles in artificial intelligence projects. Project Leadership and Society, 3, 100068.
View in Google Scholar
Nugroho, H. (2023). A review: Data quality problem in predictive analytics. International Journal of Applied Information Technology, 7(2), 79–91.
View in Google Scholar
Ozturk, O. (2024). The impact of AI on international trade: Opportunities and challenges. Economies, 12(11), 298.
View in Google Scholar
Patrício, L., Varela, L., & Silveira, Z. (2024). Integration of artificial intelligence and robotic process automation: Literature review and proposal for a sustainable model. Applied Sciences, 14(21), 9648.
View in Google Scholar
Pattnaik, D., Ray, S., & Raman, R. (2024). Applications of artificial intelligence and machine learning in the financial services industry: A bibliometric review. Heliyon, 10(1), e23492.
View in Google Scholar
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.
View in Google Scholar
Piotrowski, D., & Orzeszko, W. (2023). Artificial intelligence and customers’ intention to use robo-advisory in banking services. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(4), 967–1007.
View in Google Scholar
Rashid, A. B., & Kausik, M. D. A. K. (2024). AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications. Hybrid Advances, 7, 100277.
View in Google Scholar
Saeed, W., Omlin, C. (2023). Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities. Knowledge-Based Systems, 263, 110273.
View in Google Scholar
Seniutis, M., Gružauskas, V., Lileikiene, A., & Navickas, V. (2024). Conceptual framework for ethical artificial intelligence development in social services sector. Human Technology, 20(1), 6–24.
View in Google Scholar
Soori, M., Jough, F. K. G., Dastres, R., & Arezoo, B. (2024). AI-based decision support systems in Industry 4.0, A review. Journal of Economy and Technology.
View in Google Scholar
Spreitzenbarth, J. M., Bode, C., & Stuckenschmidt, H. (2024). Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice. Journal of Purchasing and Supply Management, 30(1), 100896.
View in Google Scholar
Sundaram, A., Subramaniam, H., Ab Hamid, S. H., Mohamad Nor, A. (2024). An adaptive data-driven architecture for mental health care applications. PeerJ, 12, e17133.
View in Google Scholar
Taye, M. M. (2023). Understanding of machine learning with deep learning: Architectures, workflow, applications and future directions. Computers, 12(5), 91.
View in Google Scholar
Turek, J., Ocicka, B., Rogowski, W., & Jefmański, B. (2023). The role of Industry 4.0 technologies in driving the financial importance of sustainability risk management. Equilibrium. Quarterly Journal of Economics and Economic Policy, 18(4), 1009–1044.
View in Google Scholar
Valaskova, K., Nagy, M., & Grecu, G. (2024). Digital twin simulation modeling, artificial intelligence-based Internet of Manufacturing Things systems, and virtual machine and cognitive computing algorithms in the Industry 4.0-based Slovak labor market. Oeconomia Copernicana, 15(1), 95–143.
View in Google Scholar
Vasenska, I. P. (2024). Economic implications of deep machine learning for tourism time series forecasting. Ekonomicko-manazerske spektrum, 18(1), 90–101.
View in Google Scholar
Walter, Y. (2024). Managing the race to the moon: Global policy and governance in artificial intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences. Discover Artificial Intelligence, 14.
View in Google Scholar
Wang, X., Lin, X., & Shao, B. (2022). How does artificial intelligence create business agility? Evidence from chatbots. International Journal of Information Management, 66, 102535.
View in Google Scholar
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