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Paper Number
1185
Paper Type
Complete
Abstract
This paper introduces PSSimPy, a Python-based simulator for Large-Value Payment Systems developed through a Design Science approach, addressing the challenges posed by blockchain and distributed ledger technologies. PSSimPy serves as a sophisticated tool for analyzing and modeling the dynamic behaviors within financial systems. Our study establishes a comprehensive set of design principles, with a particular emphasis on modularity, accessibility, and data privacy. These principles, not extensively covered in existing literature, enhance the simulator’s adaptability and reliability in rapidly changing financial environments. By incorporating these alongside other critical principles, our work provides a robust framework for advancing the design of simulation tools and contributes to the complex adaptive systems literature, offering innovative solutions for managing the intricacies of modern financial systems.
Recommended Citation
See, Kenneth; Shobri, Hanzholah; and Garcia, Nicholas, "PSSimPy: A Design Science Approach to Constructing and Implementing a Large-Value Payment System Simulator" (2024). ICIS 2024 Proceedings. 10.
https://aisel.aisnet.org/icis2024/blockchain/blockchain/10
PSSimPy: A Design Science Approach to Constructing and Implementing a Large-Value Payment System Simulator
This paper introduces PSSimPy, a Python-based simulator for Large-Value Payment Systems developed through a Design Science approach, addressing the challenges posed by blockchain and distributed ledger technologies. PSSimPy serves as a sophisticated tool for analyzing and modeling the dynamic behaviors within financial systems. Our study establishes a comprehensive set of design principles, with a particular emphasis on modularity, accessibility, and data privacy. These principles, not extensively covered in existing literature, enhance the simulator’s adaptability and reliability in rapidly changing financial environments. By incorporating these alongside other critical principles, our work provides a robust framework for advancing the design of simulation tools and contributes to the complex adaptive systems literature, offering innovative solutions for managing the intricacies of modern financial systems.
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07-Fintech