Generative Artificial Intelligence in Enterprise Information Systems: Transforming Business Intelligence and Strategic Decision Support Processes

Authors

  • 1. Shariful Haque , 2. Hasibul Islam, 3. Farmina Sharmin, 4. Md Shakirul Islam Joy, 5. Kamron Naher , 6. Nur Nahar Rimi, 7. Farhin Shimu
  • 1. Shariful Haque , 2. Hasibul Islam, 3. Farmina Sharmin, 4. Md Shakirul Islam Joy, 5. Kamron Naher , 6. Nur Nahar Rimi, 7. Farhin Shimu

DOI:

https://doi.org/10.28945/ijikm.v20i2.162

Keywords:

Generative AI, Enterprise Information Systems, Business Intelligence, Decision Support, Strategic Decision Support, Data Security

Abstract

Background: General artificial intelligence (GenAI) is a paradigm shift of deterministic
computing to introduction of reasoning based decision support in Enterprise Information Systems
(EIS). This change in the United States can be characterized by rapidly moving experimental pilots
to the mainstream business processes of having autonomous and agentic functions implemented
in the business environment in the financial planning, supply chain management, and
procurement. With a high of 33.9 billion in international investments in GenAI in 2024, it has now
become more than a productivity tool with the executive leadership.
Research Objective: This systematic review serves the goal of thoroughly examining how and the
effects of generative artificial intelligence (GenAI) on enterprise information systems (EIS) in the
United States.
Research Methods: The major academic and industry databases were searched and focused on
the research published within the period of 2020-2025. The quality of methods and the risk of bias
were identified using the approved critic appraisal instruments, that is, AMSTAR-2 and JBI
checklists. The performance quantitative measurements that were incorporated in the review are
technical frameworks, such as the Gen-Optimizer, and qualitative data.
Conclusion: espite the fact that the productivity enhancement of high-performing organizations is
up by as much as 40 percent and cost reduction up by 95 percent when agentic orchestration
happens, the failure rate of initial enterprise AI initiatives, standing at 95 percent, reveals that
few success stories exist, and there is no ability to correct the underlying problem, namely, the
data quality and infrastructure bottlenecks.

Author Biographies

1. Shariful Haque , 2. Hasibul Islam, 3. Farmina Sharmin, 4. Md Shakirul Islam Joy, 5. Kamron Naher , 6. Nur Nahar Rimi, 7. Farhin Shimu

Department of Business Administration, International American University, 3440 Wilshire Blvd, Los Angeles, CA 90010, USA.

Master of Business Administration in Business Analytics, International American University, 3440 Wilshire Blvd STE 1000, Los Angeles, CA 90010, USA.

Master of Business Administration (MBA) — Business Analytics, International American University, 3440 Wilshire Blvd, Los Angeles, CA 90010, USA.

College of Business, Westcliff University, 17877 Von Karman Ave, 4th Floor, Irvine, CA 92614,USA.

MBA in Project Management, Central Michigan University, 1200 S Franklin St, Mt Pleasant, MI 48859, USA.

College of Technology & Engineering, Westcliff University, 17877 Von Karman Ave, Irvine, CA 92614, USA.

Department of Communication and Multimedia Studies, Florida Atlantic University, 777 Glades Rd, Boca Raton, FL 33431, USA.

1. Shariful Haque , 2. Hasibul Islam, 3. Farmina Sharmin, 4. Md Shakirul Islam Joy, 5. Kamron Naher , 6. Nur Nahar Rimi, 7. Farhin Shimu

Department of Business Administration, International American University, 3440 Wilshire Blvd, Los Angeles, CA 90010, USA.

Master of Business Administration in Business Analytics, International American University, 3440 Wilshire Blvd STE 1000, Los Angeles, CA 90010, USA.

Master of Business Administration (MBA) — Business Analytics, International American University, 3440 Wilshire Blvd, Los Angeles, CA 90010, USA.

College of Business, Westcliff University, 17877 Von Karman Ave, 4th Floor, Irvine, CA 92614,USA.

MBA in Project Management, Central Michigan University, 1200 S Franklin St, Mt Pleasant, MI 48859, USA.

College of Technology & Engineering, Westcliff University, 17877 Von Karman Ave, Irvine, CA 92614, USA.

Department of Communication and Multimedia Studies, Florida Atlantic University, 777 Glades Rd, Boca Raton, FL 33431, USA.

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Published

2006-2026

Issue

Vol. 20 No. 2 (2025)

Section

Articles

License

Copyright (c) 2025 Copyright (c)https://creativecommons.org/liceses/by-nc-nd/4.0