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Toward Commitment-Driven Enterprise Digital Twins
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AI
DOI：10.1007/978-3-032-12063-2_3.png)
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Abstract
En 中文
Enterprises are increasingly challenged to make sense of proliferating digital traces in ways that are semantically coherent, organizationally actionable, and institutionally aligned. This research introduces CoEDiT-a commitment-driven enterprise digital twin-conceived as a reflexive modeling infrastructure that integrates conceptual abstraction, semantic technologies, and empirical data analytics. Grounded in Action Design Research, CoEDiT operationalizes a dialectical loop wherein social commitments serve as ontologically grounded constructs that link strategic intention to operational execution. Applied to air navigation services, the approach demonstrates how latent coordination structures can be surfaced and organizational learning sustained through the semantic reinterpretation of transactional data. Beyond its practical instantiation, CoEDiT contributes to current debates in Information Systems and Business Informatics by proposing a socio-technical modeling grammar that supports institutional sensing, strategic seizing, and organizational transformation. In doing so, it recasts enterprise modeling not as a representational end, but as a dynamic capability for reflexive adaptation in reindustrialized contexts.
Keywords:
Reflexive digital twin
Ontology-driven conceptual modeling
Business analytics
Semantic representation
Action design research
Institutional sensemaking
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