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Research Article | Open Access

Stability of scientific big data sharing mechanism based on two-way principal-agent

Wang Zhang1( )Jingkun Zhang2
School of Economics and Management, Northwest University, Xi'an 710127, China
School of Accounting, XiJing University, Xi'an 710123, China
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Abstract

In the era of big data, facing the data-intensive scientific paradigm shift and the explosion of scientific big data, there is an urgent need for alliance cooperation between heterogeneous research groups to actively open and share scientific big data to support China's economic development, technological innovation and national security. Therefore, the study of scientific big data sharing mechanism has very important practical significance. We think science big data sharing is an ecosystem that is constantly evolving to higher-order ecological evolution. Based on the dual perspectives of psychological contract and contractual contract, the scientific big data sharing strategy evolution mechanism and sharing strategy incentive mechanism are explored.The research finds that the cooperation of scientific research groups is bound by psychological contract and contractual contract; stochastic evolutionary game has stronger explanatory power for sharing strategy evolution, complementarity is positive indicator, random interference and moral risk are negative indicators; two-way principal agent can describe Alliance members are mutually entrusted, and the shared strategy incentive contract consists of fixed wages and incentive wages, which are proportional to risk.

CLC number: 20C25, 20C35

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AIMS Mathematics
Pages 18762-18779

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Cite this article:
Zhang W, Zhang J. Stability of scientific big data sharing mechanism based on two-way principal-agent. AIMS Mathematics, 2023, 8(8): 18762-18779. https://doi.org/10.3934/math.2023955

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Received: 18 February 2023
Revised: 08 May 2023
Accepted: 22 May 2023
Published: 15 August 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)