Enterprise AI Analysis
Research on the Network Characteristics and Cooperation Models of Artificial Intelligence Group Standards in China-Based on the Analysis of the Artificial Intelligence Industry
This paper investigates the group standards within China's artificial intelligence (AI) industry, analyzing participating drafting units and standard organizations through social network analysis (SNA). The study reveals that while the AI group standards are rapidly developing, the cooperation network is still nascent and somewhat loose. Key entities like Huawei and Tsinghua University show strong central positions among drafting units, and organizations such as the China Electronics Standardization Association are prominent among standard-setting bodies. The research highlights the need to strengthen network connections, improve collaborative efficiency via information-sharing platforms, and leverage central actors' leadership to drive common development. Government and industry associations are urged to guide the formulation and implementation of AI group standards to build a comprehensive system, enhance China's global influence in AI standard setting, and promote high-quality industrial development.
Executive Impact: Key Findings at a Glance
Our analysis reveals critical metrics shaping the future of AI group standards in China. These figures underscore both current development and areas for strategic growth.
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Group Standard Organizations
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Participating Drafting Units
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Group Standards Issued (AI-related)
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Average Degree Centrality (Drafting Units)
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Overall Network Density
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Network Structure
Key Participants
Collaboration Gaps
Strategic Recommendations
The analysis of the AI group standard cooperation network reveals a relatively loose structure, with an overall network density of 0.0116. This indicates that while the network is forming, there's significant potential for increased collaboration and cohesion. Degree centralization values are low (0.95% for organizations, 0.09% for drafting units), suggesting no single dominant central authority across the entire network, though local analysis identifies key players.
Huawei Technologies Co., Ltd. and Tsinghua University are identified as leading participating drafting units due to their high degree centrality. Among group standard organizations, the China Electronics Standardization Association stands out with the highest degree and betweenness centrality, indicating its critical role in connecting various entities and influencing information flow. Other notable organizations include the Commerce Economy Association of China and China Anti-Aging Promoting Association.
Despite some entities showing strong central positions, the overall cooperation network remains loose. Several group standard organizations, while having close ties with certain drafting units, have not yet established robust connections with the broader network. This fragmentation suggests missed opportunities for cross-organizational knowledge sharing and synergistic standard development, hindering overall collaborative efficiency.
To mature the cooperation network, it is crucial to establish an information sharing platform to facilitate resource and needs exchange among group standard organizations and drafting units. Central actors should leverage their influence to drive broader participation and knowledge transfer. Government and industry associations must provide targeted policies and guidance to foster a more complete AI standard system, enhancing China's global leadership in AI standardization.
70.07%
Of participating drafting units are enterprises, highlighting their crucial role.
Enterprise Process Flow
Establish Information Sharing Platform
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Central Actors Drive Collaboration
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Government & Industry Guidance
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Strengthen Network Connections
→
Achieve Cohesive AI Standard System
| Aspect | Current State | Proposed Improvement |
|---|---|---|
| Network Density | Low (0.0116) |
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| Centralization | Low overall, high locally |
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| Collaboration | Fragmented, loose connections |
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| Influence | Limited to few key entities |
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Huawei's Strategic Standardization
Huawei Technologies Co., Ltd. is a prime example of a participating drafting unit with high degree centrality. They strategically integrated patents and standards into their corporate strategy early on. Through independent R&D and a robust patent pool, Huawei actively participates in standardization, translating R&D achievements into industry-wide standards.
This proactive approach has given Huawei a significant competitive advantage and placed it at the core of the AI group standard formulation network, demonstrating the tangible benefits of strategic engagement in standardization.
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Implementation Roadmap: Your Path to AI Standardization Leadership
Our phased approach ensures a smooth integration of AI standardization best practices within your organization, maximizing impact and minimizing disruption.
Phase 1: Network Assessment & Gap Analysis
Evaluate current standardization activities, identify key players, and pinpoint areas for improved collaboration and network integration.
Phase 2: Platform Implementation & Pilot Programs
Deploy information sharing platforms and initiate pilot projects focusing on cross-organizational collaboration within selected AI group standards.
Phase 3: Stakeholder Engagement & Policy Integration
Engage government and industry associations to align policies, encourage broader participation, and disseminate best practices from pilot programs.
Phase 4: Continuous Optimization & Global Influence
Monitor network evolution, iterate on collaboration models, and strategically position China's AI group standards for international recognition and influence.
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