Abstract

Data sharing helps to make full use of each other’s data and enable the digital economy. With the gradual rise of corporate data sharing, the frequent occurrence of data leakage events highlights the dilemma of data sharing, leakage and supervision, which infringes on the data assets of the leaked party. Our paper aims to design an effective data supervision mechanism and achieve the stability of data sharing alliance. Therefore, this paper considers the data technology capabilities of both parties of the data sharing alliance and the benefits and loss of data leakage, establishes the game model and supervision mechanism of data sharing, leakage and supervision under the condition of complete information, and analyzes the game equilibrium and the influence of different supervision levels on the company’s data sharing and leakage behavior. The results show that the company sharing and leaking behavior is affected by both the level of data supervision fines and the relative technical level. Our model can make up for the weakness of the low-tech company, control the company’s choice of leaking behaviors, and ensure the stability of data sharing alliance by designing reasonable data supervision mechanism, especially the severe data supervision strategy.

Highlights

  • Data Sharing, Leakage, andIn recent years, data has become an important asset for many organizations, providing new business opportunities for enterprises to improve their business operations [1]

  • Considering the data technical capabilities of both parties of the data sharing alliance and the revenue or loss of data leakage, design a data supervision mechanism based on fines and analyze how different levels of supervision affect data sharing and leakage behavior

  • Aiming at the problems of data sharing, leakage, and supervision, our paper established a model of data sharing, leakage, and supervision based on game theory, and discussed the effective strategies of data sharing, leakage, and data supervision

Read more

Summary

Introduction

Data has become an important asset for many organizations, providing new business opportunities for enterprises to improve their business operations [1]. It is urgent to effectively manage data leakage events in the process of enterprise data sharing, solve enterprises’ concerns about data leakage, and maintain the stability of the data sharing alliance [16,17]. Considering the data technical capabilities of both parties of the data sharing alliance and the revenue or loss of data leakage, design a data supervision mechanism based on fines and analyze how different levels of supervision affect data sharing and leakage behavior. Solve the game equilibrium and conditions of company supervision under different technical levels, data leaking behaviors, and data leaking penalty levels, and discuss the stability conditions of Data Sharing Alliance, as well as data sharing, data leakage, and data supervision of companies’ effectiveness strategies.

Data Sharing
Data Leakage
Data Supervision
Problem Description
Data Shared Benefit Analysis
Scale Analysis of Data Leakage
Benefit and Cost Analysis of Data Leakage
Analysis of the Impact of Related Data Technology Levels
Analysis of Data Supervision Mechanism
Basic Model
Equilibrium Analysis of S1 Strategy
Equilibrium Analysis of S2 and S3 Strategy
If the fine
Nash Equilibrium Analysis of S4 Strategy
Nash Game Equilibrium Distribution under Different Supervision Mechanisms
Simulation Analysis
Equilibrium Strategy Analysis under Different Data Supervision Mechanisms
Supervision Mechanism for Severe Penalties
Extension
SF Express and Cainao Data Sharing Case Background
Conclusions
Findings
Further Research
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.