Blockchain-Based and Value-Driven Enterprise Data Governance: A Collaborative Framework

Zhi Li, Fuhe Liang and Henan Hu ()
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Zhi Li: School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Fuhe Liang: School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China
Henan Hu: School of Law, South China University of Technology, Guangzhou 510006, China

Sustainability, 2023, vol. 15, issue 11, 1-15

Abstract: The traditional mode of cooperation between enterprises still suffers from major problems, including data privacy leakage, data falsification, and inefficient collaboration in data sharing. These challenges make it difficult for enterprises to ensure that their cooperative suppliers adopt sustainable practices in standards identification and operation processes. This paper proposes a “Value–Standard–Process” collaborative framework for blockchain-based enterprise data governance that helps ensure a high degree of data security, a high reliability of collaborative tasks, and a high transparency of value transformation. First, this paper proposes a new collaborative mode for blockchain-based manufacturing in the sharing economy, including the non-linear dynamic evaluation and value balancing mechanism of data with multiple attributes, a trusted data governance mechanism for blockchain-based manufacturing, and a smart contract generation mechanism for value-driven collaboration. Second, this paper explains these three components and the implementation of the overall framework. Third, this paper verifies the applicability and achievability of the proposed framework through experiments. Establishing the value-driven multi-level blockchain-based collaboration mode facilitates the effective flow of production factors and promotes trust in the digital economy of sustainability.

Keywords: data governance; blockchain; value-driven; collaborative production; governance and technology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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