Sustainable IT Governance Models using Blockchain for Transparent Decision-Making

Blockchain Governance proposes a sustainable IT
governance model for increasing transparency and effective
decision-making via blockchain technology. Current
governance models tend to be limited by issues of nontraceability, central control, and decreased stakeholder trust.
To mitigate these, proposed model suggests a new Hybrid BGCTAM Framework that combines the Blockchain Governance
Chain (BGC), the Technology Acceptance Model (TAM), and
AI-driven decision auditing engines. The study leverages the
Douban Dataset (Ratings, Reviews, Side Information) to model
trust behaviors, decision-making processes, and system
dynamics. Built with Python, the architecture facilitates realtime monitoring, smart contract-based governance auditing, and behavior analysis for adoption forecasting. The AI auditing function identifies anomalies and scores decisions based on sustainability indicators. The model performed 92.3% accuracy, with high precision indicating excellent performance in classifying transparent decisions. This paradigm can be used by IT administrators, policymakers, and decentralized platforms seeking green, responsible, and resilient governance options in the digital age.