Core Insights - The global enterprise network faces three core pain points: lack of collaborative trust, fragmented data value, and difficulty in risk quantification. Blockchain technology offers a foundation for trusted collaboration, but a single technology cannot overcome the scalability application bottleneck [1][3]. Group 1: Pain Points - Collaborative trust is lacking due to conflicts between individual rationality and collective optimality in multinational enterprises, particularly in cost-sharing and efficiency in cross-border logistics [4]. - Data value is fragmented, with cross-enterprise data interoperability below 27%, leading to "data silos" among different ERP systems and transaction records [4]. - Risk quantification is inadequate, with traditional risk assessment methods having an accuracy rate below 60% in the face of frequent uncertainties like node failures and policy changes [4]. Group 2: Technological Framework - The integration of game theory, knowledge graph reasoning, and probabilistic graphical reasoning is essential to construct a complete technical system that adapts to the complex scenarios of the global enterprise network [3][4]. - Game theory can design incentive mechanisms that shift enterprise collaboration from "passive compliance" to "active participation," potentially reducing cross-enterprise collaboration costs by 40%-50% [4]. - Knowledge graph reasoning can enhance the semantic utilization rate of global enterprise data to over 80% by integrating heterogeneous data across domains [4]. - Probabilistic graphical reasoning, particularly using Leuven school algorithms, can improve the accuracy of global network risk warnings to around 90% [4]. Group 3: Case Studies - The TradeLens blockchain platform, developed by Maersk and IBM, addresses the freight-sharing and timeliness assurance game in global container transport by designing dynamic revenue functions [6]. - The Sia blockchain project for global cloud storage uses game theory to establish revenue-sharing rules between storage and retrieval nodes, demonstrating effective collaboration with over 12,000 global nodes and a failure rate below 0.5% [6][7]. - The collaboration between SWIFT and Chainlink in cross-border payments introduces compliance contribution rewards to address the compliance game between banks and regulatory agencies, increasing compliance rates from 78% to 99% [6]. Group 4: Knowledge Graph Construction - The knowledge graph construction process involves four steps: participant identification, strategy space definition, revenue function formulation, and equilibrium goal adjustment [7]. - The mechanism enhances global supply chain collaboration efficiency by 35% and reduces port delay incidents by 62% through strategic adjustments based on cooperation depth [7]. Group 5: Risk Quantification - The Leuven school’s probabilistic graphical reasoning quantifies risk probabilities by modeling random variables, dependencies, and probability distributions, addressing efficiency and accuracy challenges in large-scale networks [10][11]. - The Akamai CDN blockchain project employs distributed Bayesian network algorithms to calculate node failure probabilities, achieving a 91% accuracy rate in failure warnings [11]. - HSBC's global forex trading blockchain platform quantifies the relationships between exchange rate fluctuations and policy risks, reducing currency loss by 42% and improving decision-making efficiency by 65% [11]. Group 6: Future Outlook - The integration of AI with the three technologies is expected to enhance the accuracy of collaborative models to over 96% by 2027, driven by advancements in large language models and graph neural networks [17]. - The establishment of global blockchain standards is underway, led by ISO, to reduce cross-enterprise technology adaptation costs [17]. - Research on quantum-resistant probabilistic graphical reasoning is being initiated to safeguard global enterprise assets against quantum computing threats [17].