Reputation-Based Trustworthy Supply Chain Management Using Smart Contract

Haochen Li; Keke Gai; Liehuang Zhu; Peng Jiang; Meikang Qiu

doi:10.1007/978-3-030-60248-2_3

Reputation-Based Trustworthy Supply Chain Management Using Smart Contract

Haochen Li, Keke Gai^*, Liehuang Zhu, Peng Jiang, Meikang Qiu

^*Corresponding author for this work

School of Cyberspace Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Supply Chain Management (SCM) has been deemed a promising method to obtain higher-level profits, while traditional SCM methods are limited by its deficiency of trust system. Blockchain is an emerging technology to achieve decentralized trusted transactions with high level automation and security, which is adoptable to address the limitation of the trust deficiency. In this paper, a blockchain-enabled reputation-based trustworthy SCM model is proposed in order to achieve trusted SCM. Besides, we propose a smart contract-based reputation rating model for achieving incentive SCM, which uses tokens to assess reputation and realize reputation reward and punishment.

Original language	English
Title of host publication	Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings
Editors	Meikang Qiu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	35-49
Number of pages	15
ISBN (Print)	9783030602475
DOIs	https://doi.org/10.1007/978-3-030-60248-2_3
Publication status	Published - 2020
Event	20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020 - New York, United States Duration: 2 Oct 2020 → 4 Oct 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12454 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020
Country/Territory	United States
City	New York
Period	2/10/20 → 4/10/20

Keywords

Blockchain
Reputation management
Smart contract
Supply Chain Management
Trustworthiness

Access to Document

10.1007/978-3-030-60248-2_3

Cite this

Li, H., Gai, K., Zhu, L., Jiang, P., & Qiu, M. (2020). Reputation-Based Trustworthy Supply Chain Management Using Smart Contract. In M. Qiu (Ed.), Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings (pp. 35-49). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12454 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60248-2_3

Li, Haochen ; Gai, Keke ; Zhu, Liehuang et al. / Reputation-Based Trustworthy Supply Chain Management Using Smart Contract. Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings. editor / Meikang Qiu. Springer Science and Business Media Deutschland GmbH, 2020. pp. 35-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Reputation-Based Trustworthy Supply Chain Management Using Smart Contract",

abstract = "Supply Chain Management (SCM) has been deemed a promising method to obtain higher-level profits, while traditional SCM methods are limited by its deficiency of trust system. Blockchain is an emerging technology to achieve decentralized trusted transactions with high level automation and security, which is adoptable to address the limitation of the trust deficiency. In this paper, a blockchain-enabled reputation-based trustworthy SCM model is proposed in order to achieve trusted SCM. Besides, we propose a smart contract-based reputation rating model for achieving incentive SCM, which uses tokens to assess reputation and realize reputation reward and punishment.",

keywords = "Blockchain, Reputation management, Smart contract, Supply Chain Management, Trustworthiness",

author = "Haochen Li and Keke Gai and Liehuang Zhu and Peng Jiang and Meikang Qiu",

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year = "2020",

doi = "10.1007/978-3-030-60248-2_3",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

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address = "Germany",

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Li, H, Gai, K , Zhu, L , Jiang, P & Qiu, M 2020, Reputation-Based Trustworthy Supply Chain Management Using Smart Contract. in M Qiu (ed.), Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12454 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 35-49, 20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020, New York, United States, 2/10/20. https://doi.org/10.1007/978-3-030-60248-2_3

Reputation-Based Trustworthy Supply Chain Management Using Smart Contract. / Li, Haochen; Gai, Keke ; Zhu, Liehuang et al.
Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings. ed. / Meikang Qiu. Springer Science and Business Media Deutschland GmbH, 2020. p. 35-49 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12454 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Reputation-Based Trustworthy Supply Chain Management Using Smart Contract

AU - Li, Haochen

AU - Gai, Keke

AU - Zhu, Liehuang

AU - Jiang, Peng

AU - Qiu, Meikang

PY - 2020

Y1 - 2020

N2 - Supply Chain Management (SCM) has been deemed a promising method to obtain higher-level profits, while traditional SCM methods are limited by its deficiency of trust system. Blockchain is an emerging technology to achieve decentralized trusted transactions with high level automation and security, which is adoptable to address the limitation of the trust deficiency. In this paper, a blockchain-enabled reputation-based trustworthy SCM model is proposed in order to achieve trusted SCM. Besides, we propose a smart contract-based reputation rating model for achieving incentive SCM, which uses tokens to assess reputation and realize reputation reward and punishment.

AB - Supply Chain Management (SCM) has been deemed a promising method to obtain higher-level profits, while traditional SCM methods are limited by its deficiency of trust system. Blockchain is an emerging technology to achieve decentralized trusted transactions with high level automation and security, which is adoptable to address the limitation of the trust deficiency. In this paper, a blockchain-enabled reputation-based trustworthy SCM model is proposed in order to achieve trusted SCM. Besides, we propose a smart contract-based reputation rating model for achieving incentive SCM, which uses tokens to assess reputation and realize reputation reward and punishment.

KW - Blockchain

KW - Reputation management

KW - Smart contract

KW - Supply Chain Management

KW - Trustworthiness

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U2 - 10.1007/978-3-030-60248-2_3

DO - 10.1007/978-3-030-60248-2_3

M3 - Conference contribution

AN - SCOPUS:85092703456

SN - 9783030602475

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 35

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BT - Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings

A2 - Qiu, Meikang

PB - Springer Science and Business Media Deutschland GmbH

T2 - 20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020

Y2 - 2 October 2020 through 4 October 2020

ER -

Li H, Gai K , Zhu L , Jiang P, Qiu M. Reputation-Based Trustworthy Supply Chain Management Using Smart Contract. In Qiu M, editor, Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 35-49. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-60248-2_3

Reputation-Based Trustworthy Supply Chain Management Using Smart Contract

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