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Toward Commitment-Driven Enterprise Digital Twins

  • 2026
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the transformative potential of commitment-driven enterprise digital twins, focusing on how they can convert routine data artifacts into machine-interpretable commitments. The text introduces the CoEDiT artifact, which models enterprise behavior as networks of evolving social commitments, providing a dynamic and reflexive infrastructure for organizational learning. It also explores the dialectical modeling loop, which integrates conceptual modeling, data analytics, and reflexive sensemaking, offering a novel approach to enterprise modeling. The chapter demonstrates the feasibility and expressiveness of this approach through an interpretive case study in air navigation services, showcasing how enterprise digital twins can surface latent coordination structures and render institutional interdependencies intelligible. The conclusion emphasizes the potential of commitment-driven modeling to engage with and transform enterprise dynamics, offering a unique perspective on sustainable enterprise transformation.

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Title
Toward Commitment-Driven Enterprise Digital Twins
Author
Lubomír Straka
Copyright Year
2026
DOI
https://doi.org/10.1007/978-3-032-12063-2_3
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