Trust Management Mechanism in Blockchain Data Science

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Author(s): Ge Gao (Zhuhai College of Science and Technology, Jilin University, China)and Ran Liu (Central Connecticut State University, USA)
Copyright: 2023
Pages: 17
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch106

Keywords: Data Analysis and Statistics / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

This article aims to apply blockchain data theories to trust management in a supply chain system to solve the trust crisis brought on by opportunistic behavior in supply chain management. Incremental implications are offered to increase supply chain managers' understanding of the underlying process of building trust using blockchain data technologies. A comprehensive literature review was undertaken to build a theoretical framework of how the trust management mechanism interacts with blockchain data and supply chain management. Design and methodology integrated multiple theories with the trust management application in supply malmanagement using blockchain data technology. This work identifies the coupling relationship between blockchain data and supply chain trust management and reveals the cultural, social, and economic attributes of trust manifested in interactions of the consensus-trust mechanism and interest motivations.

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