Artificial Intelligence in Business Operations in one of the country in South East Asia: Exploring Applications, Challenges, Limitations, and Future Research Directions
The advent, growth, advancement and development of artificial intelligence (AI) has transformed businesses and organizations around the globe, as it contributes to innovation and operational efficiency. It utilizes big data analytics as well as machine learning, which drives strategic decision-making. However, even with the amplified discussion as well as the availability of Artificial Intelligence techniques and tools, there is still a lack of knowledge on how it affects business operations.The study explores the future of Artificial Intelligence in Business Operations in the Philippines. More specifically, the study explored how Artificial Intelligence can be applied in operations management, supply chain management, sales and marketing, training and development, accounting and finance, customer service, strategic planning and quality controlIn order to address this objective, the proponents conducted a critical analysis of 153 Scopus indexed publications in the body of literature to examine Artificial Intelligence in the context of business operations.Artificial Intelligence has a surmountable potential in business organizations and employee adjustments in lieu to this technology necessitates to adopt in these changes. Due to the preceding concerns about the integration of Artificial Intelligence within business operations, the study provided exploratory discussion around its use, challenges, limitations and suggested areas requiring future studies.
Authors
- Randy Joy Magno Ventayen (ORCID: https://orcid.org/0000-0002-0952-7795)
- Jolou Vincent M. Jala
- Everly A. Nacalaban
- Nenon Roy A. Sandinao
- Joshua T. Gaid
Institutions
- Bukidnon State University (PH)
- Pangasinan State University (PH)
Publication Details
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1109/icdici62993.2024.10810883
- Citations
- 3
- Primary Topic
- Scheduling and Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 1.05