THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON SYSTEMS MANAGEMENT INFORMATION
DOI:
10.54443/ijset.v4i9.894Published:
2025-07-13Downloads
Abstract
This study aims to systematically examine the impact of artificial intelligence (AI) on management information systems (MIS). Using the literature review method, relevant scientific articles, industry reports, and case studies are analyzed to identify trends, benefits, challenges, and potentials of AI in the context of MIS. The results of the analysis show that AI has a significant positive impact on operational efficiency, service personalization, and data-driven decision making. However, challenges such as the need for competent human resources, data security risks, and initial investment costs need to be managed properly. Future trends are toward the adoption of cloud-based AI platforms and more transparent and ethical AI technologies. This study provides comprehensive insights for academics and practitioners in understanding and implementing AI in management information systems.
Keywords:
Artificial Intelligence Management Information Systems Digital Transformation Automation Data Analytics AI in BusinessReferences
Amazon. (2024). Amazon's use of AI in logistics and customer experience. Retrieved from https://www.aboutamazon.com
Bessen, J. (2020). AI and the future of work. Harvard Business Review, 98(4), 48–55.
Chong, A., Lo, C., Weng, S., & Tan, B. (2021). Artificial intelligence in e-commerce: A review and future research directions. International Journal of Production Economics, 240, 108231. https://doi.org/10.1016/j.ijpe.2021.108231
Duan, Y., Wang, J., & Sun, J. (2021). The impact of artificial intelligence on business management systems. Journal of Business Analytics, 12(3), 45–60. https://doi.org/10.1093/jba/abz056
Huang, M.-H., & Rust, R. T. (2023). Engaged to a robot? The role of AI in service. Journal of Service Research, 26(1), 3–22. https://doi.org/10.1177/10946705231152075
Kotsiantis, S., Pintelas, P., & Pintelas, E. (2022). Machine learning: A review of classification and regression techniques. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12(1), e1394. https://doi.org/10.1002/widm.1394
Kumar, P., & Chen, Y. (2023). Natural language processing for intelligent management information systems. International Journal of Information Technology, 9(2), 89–104. https://doi.org/10.1002/ijit.456
Li, Y., Ma, H., & Zhang, J. (2022). Intelligent logistics management based on AI technologies: A review. Journal of Business Logistics, 43(2), 193–212. https://doi.org/10.1002/jbl.12281
McKinsey & Company. (2023). The advent of AI-powered decision-making platforms. Retrieved from https://www.mckinsey.com
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Copyright (c) 2025 Ulya Salsabila, Intan Maulina, Rayyan Firdaus
This work is licensed under a Creative Commons Attribution 4.0 International License.
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