Artificial Intelligence-Enhanced Management Information Systems for Organisational Efficiency, Sustainability and Resilience

Mochamad Rizal Yulianto; Hidayatulloh

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Mochamad Rizal Yulianto Muhammadiyah University of Sidoarjo, Indonesia
Hidayatulloh Muhammadiyah University of Sidoarjo, Indonesia

Vol. 6 No. 4 (2026): April

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April 30, 2026

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Artificial Intelligence (AI)-enhanced Management Information Systems (MIS) are transforming organisational operations by integrating advanced machine learning, predictive analytics, and generative AI into traditional information frameworks. These systems optimise data management, streamline workflows, and enable proactive, data-driven decision-making, enhancing efficiency, sustainability, and organisational resilience. AI-powered data management automates error detection, validation, and pipeline creation, while natural language processing facilitates metadata extraction and conversational data discovery. Predictive analytics allows early identification of potential governance and operational issues. Across industries, AI applications demonstrate diverse benefits: in healthcare, AI improves diagnostic accuracy and patient outcomes; in finance, AI platforms enhance risk management, fraud detection, and advisory efficiency; in e-commerce, generative AI supports marketing, product recommendations, and content creation. Case studies of state-owned enterprises illustrate AI’s role in boosting Environmental, Social, and Governance (ESG) performance and organisational agility. Despite these advantages, AI integration presents challenges, including ethical concerns, data privacy, algorithmic bias, job displacement, and the balance between automation and human oversight. Emerging trends such as IoT integration, personalised resource management, explainable AI, and advanced predictive analytics highlight the evolving potential of AI-enhanced MIS for driving innovation and strategic advantage. Organisations that adopt structured implementation frameworks, promote agile cultures, and ensure ethical AI governance are better positioned to leverage these systems for sustainable growth and resilience in dynamic, competitive environments.

Mochamad Rizal Yulianto, & Hidayatulloh. (2026). Artificial Intelligence-Enhanced Management Information Systems for Organisational Efficiency, Sustainability and Resilience. Journal of Marketing and Emerging Economics, 6(4), 21–32. Retrieved from https://oajournals.net/index.php/jmee/article/view/2758

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Artificial Intelligence-Enhanced Management Information Systems for Organisational Efficiency, Sustainability and Resilience

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