TY - GEN
T1 - Trusted Department Recommendation Based on Blockchain for Industrial Chain Collaboration
AU - Yan, Zhenchao
AU - He, Songlin
AU - Wu, Chase
AU - Cai, Haohui
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Business process management is a vital technology for managing and analyzing business processes in industrial chain. Blockchain, as a decentralized and tamper-proof distributed ledger technology, emerges as a promising infrastructure to support business process management and collaboration. In industrial chain collaboration, finding the most suitable business department to complete the business task can significantly increase the business execution efficiency. However, one of the critical challenges lies in reliably evaluating a department of its capability of completing the task. Existing related works either rely on subjective selection or the evaluation lacks of verifiability and trustworthiness. To this end, we propose a blockchain-based trusted business department recommendation protocol. Firstly, several dimensions are designed for evaluating local business departments and cross-enterprise collaborated departments. Secondly, a blockchain-based protocol is proposed to accumulatively generate verifiable values of these dimensions. Thirdly, we propose the fuzzy information entropy-enabled weighted fusion of these dimensions and produce comprehensive evaluation results for departments. Finally, the designed smart contracts are implemented and deployed on the Ethereum Sepolia test network, and the experimental results demonstrate efficient on-chain gas cost.
AB - Business process management is a vital technology for managing and analyzing business processes in industrial chain. Blockchain, as a decentralized and tamper-proof distributed ledger technology, emerges as a promising infrastructure to support business process management and collaboration. In industrial chain collaboration, finding the most suitable business department to complete the business task can significantly increase the business execution efficiency. However, one of the critical challenges lies in reliably evaluating a department of its capability of completing the task. Existing related works either rely on subjective selection or the evaluation lacks of verifiability and trustworthiness. To this end, we propose a blockchain-based trusted business department recommendation protocol. Firstly, several dimensions are designed for evaluating local business departments and cross-enterprise collaborated departments. Secondly, a blockchain-based protocol is proposed to accumulatively generate verifiable values of these dimensions. Thirdly, we propose the fuzzy information entropy-enabled weighted fusion of these dimensions and produce comprehensive evaluation results for departments. Finally, the designed smart contracts are implemented and deployed on the Ethereum Sepolia test network, and the experimental results demonstrate efficient on-chain gas cost.
KW - Blockchain application
KW - Business process management
KW - Department recommendation
KW - Industrial collaboration
UR - https://www.scopus.com/pages/publications/105017368588
UR - https://www.scopus.com/pages/publications/105017368588#tab=citedBy
U2 - 10.1007/978-3-032-06176-8_6
DO - 10.1007/978-3-032-06176-8_6
M3 - Conference contribution
AN - SCOPUS:105017368588
SN - 9783032061751
T3 - Lecture Notes in Computer Science
SP - 89
EP - 103
BT - Blockchain – ICBC 2025 - 8th International Conference, Held as Part of the Services Conference Federation, SCF 2025, Proceedings
A2 - Shyamasundar, Rudrapatna K.
A2 - Huang, Huawei
A2 - He, Songlin
A2 - Fang, Junbin
A2 - Zhang, Liang-Jie
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Conference on Blockchain, ICBC 2025, held as part of the Services Conference Federation, SCF 2025
Y2 - 27 September 2025 through 30 September 2025
ER -