LITERATURE REVIEW

The paper outlines a two-phase process for selecting research papers on Artificial Intelligence’s (AI) impact on business operations.
Phase 1 : Acquisition involved collecting a robust set of research papers through database searches in platforms like IEEE Xplore and Google Scholar, exploring journals and conference proceedings, checking references of initial papers, and considering industry reports for real-world implications.
Phase 2: Elimination refined the collection to 26 relevant papers. Criteria included removing redundant papers, outdated information, papers with a narrow scope or low peer review standards, publications before 2013 unless foundational, and papers not aligning with the core theme of AI and its synergy with other technologies.

Evolution of AI in Business

examines AI's progressive integration into the business realm. Initially, AI faced challenges in emulating human cognitive processes and was an expensive venture with limited outcomes (Davenport & Ronanki, 2018 [10]; Albon (2018) [11]; Agrawal, Gans, & Goldfarb, 2022 [1]). However, advancements in computing and machine learning led to significant paradigm shifts, with AI outperforming humans in tasks like speech and image recognition (Hinton et al., 2012 [18]; Lopez et al. (2020) [21]; Graves, Mohamed, & Hinton, 2013 [14]; He, Zhang, Ren, & Sun, 2016 [16]).

AI in Supply Chain Management

explores AI’s transformation of supply chains, from pre-AI reliance on human intuition to AI-enabled predictive analytics for anticipating trends and demands (Ghadge, Dani, Chester, & Kalawsky, 2013 [13]; Osman, Alinkeel, and Bhavshar (2022) [20]).

AI’s Role in Fraud Detection

describes AI’s effectiveness in fraud detection, revolutionizing traditional methods by identifying transaction anomalies (Ten, Hong, and Liu (2011) [2]; Cai & Zhu, 2015 [6]).

Human-AI Synergy in Operations

discusses the evolving collaboration between humans and AI, moving from fears of job displacement to a synergistic relationship. The use of collaborative robots (cobots) in manufacturing exemplifies this partnership (Ransbotham et al., 2017 [15]; Sherwani, Asad, and Ibrahim (2020) [9]).
In summary, AI has become a pivotal element in business planning, product creation, and ensuring integrity and safety, continually shaping the future of business operations. strategy), and diversity (varied geographic and industry perspectives). This process refined our sources to 26 key references that offer a comprehensive view of AI in business, including both theoretical and practical aspects.
TABLE 3: THIS TABLE PROVIDES A CONCISED VISUALIZATION OF THE DIFFERENT AREAS WHERE AI HAS INFLUENCED BUSINESS OPERATIONS; FROM SUPPLY CHAIN MANGAMENT TO COLLABORATIVE ROBOTICS, TOSERVE AS REFERENCE