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 Criteria included removing redundant papers, outdated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