Open Data in the Digital Economy: An Evolutionary Game Theory Perspective

TL;DR

This paper models the interactions among data providers, users, and regulators in the open data ecosystem using evolutionary game theory, revealing insights into cooperation dynamics and strategic behaviors.

Contribution

It introduces a comprehensive evolutionary game model including data regulators, providing new insights into multi-stakeholder cooperation in open data markets.

Findings

Cooperation ratios depend on regulator incentives and data value.

Higher data acquisition costs reduce user cooperation.

Regulatory rewards and penalties significantly influence stakeholder strategies.

Abstract

Open data, as an essential element in the sustainable development of the digital economy, is highly valued by many relevant sectors in the implementation process. However, most studies suppose that there are only data providers and users in the open data process and ignore the existence of data regulators. In order to establish long-term green supply relationships between multi-stakeholders, we hereby introduce data regulators and propose an evolutionary game model to observe the cooperation tendency of multi-stakeholders (data providers, users, and regulators). The newly proposed game model enables us to intensively study the trading behavior which can be realized as strategies and payoff functions of the data providers, users, and regulators. Besides, a replicator dynamic system is built to study evolutionary stable strategies of multi-stakeholders. In simulations, we investigate the evolution of the cooperation ratio as time progresses under different parameters, which is proved to be in agreement with our theoretical analysis. Furthermore, we explore the influence of the cost of data users to acquire data, the value of open data, the reward (penalty) from the regulators, and the data mining capability of data users to group strategies and uncover some regular patterns. Some meaningful results are also obtained through simulations, which can guide stakeholders to make better decisions in the future.