INTRODUCTION
The introduction of the paper underscores the significant impact of Artificial Intelligence (AI) in the evolution of business operations, highlighting it as a major paradigm shift across various domains. It begins by illustrating how AI has transformed devices like smartphones from simple communication tools into multifunctional aids essential in daily life, mirroring its expansive influence in the business sector. The work of Agrawal, Gans, & Goldfarb (2022) [1] is referenced for its insights into the economic implications of AI, showing how AI’s predictive capabilities have revolutionized business models and strategies. Additionally, Davenport & Ronanki (2018) [10] and Chen, Chiang, & Storey (2012) [7] are cited for their contributions to understanding AI’s diverse applications in real-world business scenarios and its integral role in business intelligence.
The paper sets out to analyze AI’s pervasive influence in three critical business areas: Supply Chain Management, Fraud Detection, and Human-AI collaboration in the workforce. In Supply Chain Management, AI is seen as a game changer, optimizing logistics through machine learning and predictive analytics, as discussed in the works of Chen et al. (2022) [8] and Osman, Alinkeel, and Bhavshar (2022) [20]. In the realm of Fraud Detection, AI's real-time monitoring capabilities, highlighted by Bao, Hilary, & Ke (2022) [4] and supported by blockchain technology (Cai & Zhu, 2015) [6], mark a significant advancement in financial security. The paper also delves into Human-AI collaboration in workplaces, focusing on how collaborative robotics, detailed in Sherwani, Asad, and Ibrahim (2020) [9] and Review, M. S. M. (2020) [23], enhance human capabilities rather than replace them.
Overall, the introduction positions the paper as a comprehensive
exploration of AI’s transformative potential in reshaping the future of
business operations.
TABLE 1: BUSINESS DOMAINS AND THE SCOPE AND FOCUS OF THIS PAPER