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Governing complexity in sustainable innovation ecosystems: An empirical analysis for AI-enabled enterprise architecture
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DOI：10.1016/j.technovation.2026.103583.png)
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Abstract
En 中文
• Explores AI integration in Enterprise Architecture for Sustainable Innovation. • Maps AI strategic focus to the Business and Data layers using expert heuristics. • Identifies an EA Paradox where principles are favored over rigid frameworks. • Proposes three testable propositions for governing AI in complex adaptive systems. • Provides a BDI-based multi-agent simulation roadmap for future ecosystem research.
Keywords:
Artificial intelligence
Enterprise architecture
Sustainable innovation ecosystems
Socio-technical systems
Complex adaptive systems
Mixed-methods research
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