A Comparative Research on Artificial Intelligence-Driven Transformations in Business Management: Strategic Applications in Finance, Tourism, Healthcare, Retail, and Manufacturing Sectors

Yazarlar

  • Saadet GÜNDÜZ TOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ

Anahtar Kelimeler:

Artificial Intelligence Applications- Business Management- Digital Transformation- Sectoral Analysis- Strategic Decision-Making

Özet

Artificial intelligence (AI) is driving significant transformations across various sectors by enhancing operational efficiency, optimising decision-making processes, and providing personalised customer experiences. This study presents a comprehensive analysis of AI applications in five key sectors: finance, healthcare, retail, manufacturing, and tourism. In the finance sector, AI technologies such as algorithmic trading, robo-advisors, and fraud detection systems are streamlining processes and improving security. Healthcare has witnessed substantial advancements, particularly in medical imaging and personalised treatment. The retail sector benefits from AI through optimised inventory management, personalised marketing strategies, and enhanced customer service via chatbots and recommendation systems. In the manufacturing sector, AI is utilised to improve production processes through automation, predictive maintenance, and quality control, thereby increasing overall productivity and reducing operational costs. Although the tourism sector lags behind other industries in AI adoption, it is leveraging AI technologies to improve customer satisfaction with personalised travel recommendations, dynamic pricing, and virtual guides. The study highlights the similarities and differences in AI applications across these sectors, emphasising that while technologies such as predictive analytics and automation are widely adopted, each industry tailors AI to meet its specific needs. For example, finance and retail focus heavily on customer interaction and data management, while healthcare and manufacturing prioritise operational efficiency and precision. The paper concludes by discussing the potential future impacts of AI, suggesting that as AI technologies evolve, they will further shape industry practices and contribute to enhanced competitiveness, efficiency, and innovation.

Referanslar

Agrawal, A., Gans, J. S., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press.

Akalın, B., & Veranyurt, Ü. (2020). Sağlıkta dijitalleşme ve yapay zekâ. SDÜ Sağlık Yönetimi Dergisi, 2(2), 128-137.

Bogue, R. (2014). Snake robots: A review of research, products and applications. Industrial Robot: An International Journal, 41(3), 253-258.

Cao, L. (2021). Artificial intelligence in retail: Applications and value creation logics. International Journal of Retail & Distribution Management, 49(7), 958-976.

Cozgarea, A., Cozgarea, G., & Stanciu, A. (2008). Artificial intelligence applications in the financial sector. Financial Innovation and Competition in European Union, 57.

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.

Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: A systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(3), 1154-1176.

Ellahham, S., Ellahham, N., & Simsekler, M. C. E. (2020). Application of artificial intelligence in the health care safety context: Opportunities and challenges. American Journal of Medical Quality, 35(4), 341-348.

Ercan, F. (2020). Turizm pazarlamasında yapay zekâ teknolojilerinin kullanımı ve uygulama örnekleri. Ankara Hacı Bayram Veli Üniversitesi Turizm Fakültesi Dergisi, 23(2), 394-410.

Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.

Goh, C., Mok, H. M., & Law, R. (2009). Artificial intelligence applications in tourism. In Encyclopedia of Information Science and Technology (2nd ed., pp. 241-247). IGI Global.

Grewal, D., Roggeveen, A. L., & Nordfalt, J. (2017). The future of retailing. Journal of Retailing, 93(1), 1-6.

Gülsen, I. (2019). İşletmelerde yapay zeka uygulamaları ve faydaları: Perakende sektöründe bir derleme. Tüketici ve Tüketim Araştırmaları Dergisi, 11(2), 407-436.

Gunasekeran, D. V., Tseng, R. M. W. W., Tham, Y. C., & Wong, T. Y. (2021). Applications of digital health for public health responses to COVID-19: A systematic scoping review of artificial intelligence, telehealth and related technologies. NPJ Digital Medicine, 4(1), 40.

Gündüz, C. (2023). Customised holiday experiences through artificial intelligence: Case studies from the aviation and hospitality sectors. Journal of Aviation, 7(3), 337-345.

Gündüz, C., Rezaei, M., & Pironti, M. (2023). The use of artificial intelligence technologies in the tourism sector and application examples. In Artificial intelligence and social sciences (pp. N-A). Ufuk University.

Gündüz, S. (2023). Artificial intelligence usage and application areas in businesses: Examples of strategic implementation. Eğitim Yayınevi.

Ivanov, S. H., & Webster, C. (2017). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies–a cost-benefit analysis. Artificial Intelligence and Service Automation by Travel, Tourism and Hospitality Companies–A Cost-Benefit Analysis.

Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: Extending the supply chain resilience angles towards survivability. International Journal of Production Research, 58(10), 2904-2915.

Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., & Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230-243.

Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23.

Li, X., Sigov, A., Ratkin, L., Ivanov, L. A., & Li, L. (2023). Artificial intelligence applications in finance: A survey. Journal of Management Analytics, 10(4), 676-692.

Lin, T. C. (2019). Artificial intelligence, finance, and the law. Fordham Law Review, 88, 531.

Min, H. (2010). Artificial intelligence in supply chain management: Theory and applications. International Journal of Logistics: Research and Applications, 13(1), 13-39.

Ngai, E. W., Hu, Y., Wong, Y. H., Chen, Y., & Sun, X. (2011). The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems, 50(3), 559-569.

Oosthuizen, K., Botha, E., Robertson, J., & Montecchi, M. (2021). Artificial intelligence in retail: The AI-enabled value chain. Australasian Marketing Journal, 29(3), 264-273.

Parunak, H. V. D. (1996). Applications of distributed artificial intelligence in industry. Foundations of Distributed Artificial Intelligence, 2(1), 18.

Park, C. W., Seo, S. W., Kang, N., Ko, B., Choi, B. W., Park, C. M., & Yoon, H. J. (2020). Artificial intelligence in healthcare: Current applications and issues. Journal of Korean Medical Science, 35(42), e315.

Stanciu, V., & Rîndaşu, S. M. (2021). Artificial intelligence in retail: Benefits and risks associated with mobile shopping applications. Amfiteatru Economic, 23(56), 46-64.

Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.

Wang, D., Khosla, A., Gargeya, R., Irshad, H., & Beck, A. H. (2016). Deep learning for identifying metastatic breast cancer. arXiv preprint arXiv:1606.05718.

Yue, L., Chen, W., Li, X., Zuo, W., & Yin, M. (2019). A survey of sentiment analysis in social media. Knowledge and Information Systems, 60, 617-663.

Zhao, S., Blaabjerg, F., & Wang, H. (2020). An overview of artificial intelligence applications for power electronics. IEEE Transactions on Power Electronics, 36(4), 4633-4658.

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Yayınlanmış

25-10-2024