An intelligent blockchain-enabled framework for transparent multi-stakeholder donation management

Modern charitable donation platforms involve multiple stakeholders, including donors, charity organizations, financial institutions, and regulatory authorities. However, traditional centralized systems often suffer from limited transparency, weak trust management, and insufficient traceability, which significantly undermine public confidence in charitable activities. To address these challenges, this study proposes an intelligent blockchain-enabled framework for transparent multi-stakeholder donation management. The proposed system integrates consortium blockchain infrastructure with smart contract mechanisms to support trustworthy transactions, automated governance, and transparent information sharing across participating entities. The framework adopts a modular architecture that facilitates role separation, traceable transaction management, and scalable system evolution. In addition, the system enables transparent supervision and evaluation processes, allowing donors, recipients, and regulatory bodies to participate in collaborative monitoring of charitable activities. A prototype implementation based on the FISCO BCOS consortium blockchain platform is developed to evaluate the feasibility and performance of the proposed framework. Experimental results demonstrate that the system effectively enhances traceability, operational transparency, and trust among participants while maintaining acceptable performance in terms of throughput and latency. The proposed framework provides a practical reference architecture for developing intelligent and trustworthy multi-party platforms and contributes new insights into the design of decentralized expert systems for social good applications.

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Publication Details

Journal
Discover Artificial Intelligence
Published
2026-08-26
DOI
https://doi.org/10.1007/s44163-026-01960-3
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00

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article

An intelligent blockchain-enabled framework for transparent multi-stakeholder donation management

Ling-Chun Liu, Wei-Wei Shi, Wanbing Zhan, Chin-Ling Chen
Discover Artificial Intelligence
Blockchain Technology Applications and Security
article

An intelligent blockchain-enabled framework for transparent multi-stakeholder donation management

Ling-Chun Liu, Wei-Wei Shi, Wanbing Zhan, Chin-Ling Chen
article en

Abstract

Modern charitable donation platforms involve multiple stakeholders, including donors, charity organizations, financial institutions, and regulatory authorities. However, traditional centralized systems often suffer from limited transparency, weak trust management, and insufficient traceability, which significantly undermine public confidence in charitable activities. To address these challenges, this study proposes an intelligent blockchain-enabled framework for transparent multi-stakeholder donation management. The proposed system integrates consortium blockchain infrastructure with smart contract mechanisms to support trustworthy transactions, automated governance, and transparent information sharing across participating entities. The framework adopts a modular architecture that facilitates role separation, traceable transaction management, and scalable system evolution. In addition, the system enables transparent supervision and evaluation processes, allowing donors, recipients, and regulatory bodies to participate in collaborative monitoring of charitable activities. A prototype implementation based on the FISCO BCOS consortium blockchain platform is developed to evaluate the feasibility and performance of the proposed framework. Experimental results demonstrate that the system effectively enhances traceability, operational transparency, and trust among participants while maintaining acceptable performance in terms of throughput and latency. The proposed framework provides a practical reference architecture for developing intelligent and trustworthy multi-party platforms and contributes new insights into the design of decentralized expert systems for social good applications.

Discover Artificial IntelligenceVol. 6(1)
Chaoyang University of Technology (TW), Beijing University of Posts and Telecommunications (CN), Fuzhou University (CN)
National Science and Technology Council
Partnerships for the goals
Openalex Percentile: Top 4%
Blockchain Technology Applications and Security
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An intelligent blockchain-enabled framework for transparent multi-stakeholder donation management — Ling-Chun Liu, Wei-Wei Shi, et al. · Discover Artificial Intelligence (2026) | TGRS Research Map | TGRS