International Journal of Recent
Engineering Science

Research Article | Open Access | Download PDF
Volume 13 | Issue 3 | Year 2026 | Article Id. IJRES-V13I3P101 | DOI : https://doi.org/10.14445/23497157/IJRES-V13I3P101

The Role of Data Governance in CPS Stability from an Information Economics Perspective


Zenglin Xu

Received Revised Accepted Published
19 Apr 2026 28 May 2026 16 Jun 2026 29 Jun 2026

Citation :

Zenglin Xu, "The Role of Data Governance in CPS Stability from an Information Economics Perspective," International Journal of Recent Engineering Science (IJRES), vol. 13, no. 3, pp. 1-5, 2026. Crossref, https://doi.org/10.14445/23497157/IJRES-V13I3P101

Abstract

Cyber-physical systems rely on stable connections between the physical and digital worlds, but everything depends on the data linking the two. If the data isn't trustworthy, the whole system falters. Engineers have spent years studying CPS stability with control theory and computer science, but there's a blind spot: the economic incentives and information structures shaping how data flows and gets used. That's a big gap. This study tackles the problem head-on by building a framework grounded in information economics. It argues that data governance—things like quality control, security, standards, and ownership—acts as the backbone for these systems. By connecting governance mechanisms to key concepts from information economics, like reducing information asymmetry or making contracts whole, the paper shows that good governance doesn't just patch technical holes. It also lowers internal coordination costs, keeps opportunistic behavior in check, and pushes groups toward smarter decisions. In short, the paper offers a fresh perspective that blends technical and economic thinking. It lays out a way to understand and strengthen the resilience of complex, data-driven engineering systems.

Keywords

Data Governance, Cyber-Physical Systems, System Stability, Information Economics, Information Asymmetry.

References

[1] Ying Wang, Chunming Liu, and Yulong Zhao, “Two-Stage Defense Strategy for Cyber-Physical Distribution Systems under Dual Uncertainties of Attack Scenario Probability and Location,” Applied Energy, vol. 414, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]

[2] Chuangzhi Li et al., “A Tri-Level Framework for Flexibility-Enabled Resilience Enhancement of Cyber-Physical Power Systems with High Renewable Energy Penetration Under Coordinated Attacks,” Applied Energy, vol. 414, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]  

[3] Irene Skuballa, and Sascha Kasper, Data Return in Focus: The Vaillant Group's Data Governance Initiative,” HMD Practice of Business Informatics, 2026. 
[
CrossRef] [Google Scholar] [Publisher Link]

[4]  Ruoxin Su, “Beyond Individual Privacy: A Layered Diagnostic Model for Analyzing Genetic Data Governance,” The Journal of Law, Medicine & Ethics, vol. 54, pp. 238-250, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]

[5] Feng Yilun, and Zhou Zining, “Research on Risk Management of Informatization Transformation of Industrial Enterprises for High-quality Development of Industry Economy - A Case Study of Haier Group,” Journal of Economic Research, vol. 3, no.1, pp. 1-3, 2026.
[Publisher Link]

[6] Haoyuan Liu et al., “Making Lemonade from Lemons: A Transaction Cost Economics Perspective on Third-Party Disruptions in a Multivendor Information Technology Service,” Information Systems Research, vol. 36, no. 1, pp. 3-11, 2025.
[
CrossRef] [Google Scholar] [Publisher Link]

[7] Xinyan Hou, “The Influence of Information Disclosure on Real Estate Buyers' Behavioral Decisions in the New Media Era - A Research Perspective Based on Behavioral Economics,” CNKI Conference Papers, 2025.
[
CrossRef] [Publisher Link]

[8] Rahel Gubser et al., “Stances Toward Data Governance: Negotiating Tensions in Data Sharing for Artificial Intelligence in Healthcare,” Information and Organization, vol. 36, no. 2, pp. 1-33, 2026.
[
CrossRef] [Google Scholar] [Publisher Link]