Synergizing Generative AI in System Dynamics Modelling and Simulation – An Exploration with Application in Health Human Resource Projection

Authors

Zuraida Abal Abas

Faculty of Artificial Intelligence and Cyber Security, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka (Malaysia)

Mohd Zaki Mas’ud

Faculty of Artificial Intelligence and Cyber Security, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka (Malaysia)

Siti Azirah Asmai

Faculty of Artificial Intelligence and Cyber Security, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka (Malaysia)

Ahmad Fadzli Nizam Abdul Rahman

Faculty of Information and Communications Technology, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka (Malaysia)

Zaheera Zainal Abidin

Faculty of Artificial Intelligence and Cyber Security, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka (Malaysia)

Kumar Raja D R

School of Computer Science and Engineering, REVA University, 560064 Bangalore, Karnataka (Malaysia)

Julia Kurniasih

Faculty of Engineering, Universitas Sarjanawiyata Tamansiswa, 55165 Muja Muju, Yogyakarta (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2025.91200040

Subject Category: Management

Volume/Issue: 9/12 | Page No: 442-451

Publication Timeline

Submitted: 2025-12-12

Accepted: 2025-12-20

Published: 2025-12-31

Abstract

Generative AI tools, such as ChatGPT, Copilot, Gemini AI, and Claude 3, have become a trend or a must-have tool in daily operations in most organizations across various domains. This includes the rapid usage of Generative AI tools in the research domain and activities. Among the established and powerful research approaches that can understand complex systems is System Dynamics modelling and simulation. This paper aims to explore the potential of synergizing generative AI in System Dynamics and modelling simulation. The application of ChatGPT as the chosen Generative AI tool is discussed from two different categories of utilization. The first category is used solely for code generation, while the second category is utilized based on the stages in System Dynamics. Nurse supply projections, developed using System Dynamics modelling and simulation, serve as an example for exploration. Although this advanced technology can accelerate the modelling process, human intelligence is still required to validate the generated responses. In fact, this paper highlights the empowerment of human intelligence in critical thinking through the integration of generative AI tools, such as ChatGPT, in facilitating the research process.

Keywords

System Dynamics, Generative AI, ChatGPT, Health human resource projection, Nurse Projection.

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