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Digital Twin–Based Enterprise Ecosystems

In: Digital Twins for Simulation-Based Decision-Making

Author

Listed:
  • Deepali Kholkar

    (TCS Research)

  • Suman Roychaudhary

    (TCS Research)

  • Sreedhar Reddy

    (TCS Research)

Abstract

An enterprise ecosystem is a network of interacting business entities involved in the delivery of a set of complementary services, through both cooperation and competition. Each entity has a set of objectives and devises a set of strategies and capabilities to meet them. However, modern businesses operate in a highly dynamic and uncertain environment where each entity in the ecosystem affects and is affected by the others, creating a constantly evolving relationship in which they must continually adapt to meet their objectives. In this chapter, we present a digital twin-based architecture for driving these adaptation decisions in a value-integrator-based ecosystem. Digital twins enable risk-free business experimentation “in silico,” helping stakeholders arrive at the right adaptive response through what-if and if-what simulation. We propose the notion of public and private digital twins to help business entities strike the right balance between cooperation and competition. We discuss a software systems architecture that helps operationalize the adaptation decisions in a human-in-control automated manner. We present a case study that illustrates some of these ideas.

Suggested Citation

  • Deepali Kholkar & Suman Roychaudhary & Sreedhar Reddy, 2025. "Digital Twin–Based Enterprise Ecosystems," Springer Books, in: Vinay Kulkarni & Tony Clark & Balbir S. Barn (ed.), Digital Twins for Simulation-Based Decision-Making, chapter 0, pages 253-271, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-89654-5_11
    DOI: 10.1007/978-3-031-89654-5_11
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