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Evaluation of Digital Transformation Strategies Through Dynamic Business Modeling and Scenario Analysis

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Listed:
  • Min-Ren Yan
  • Haiyan Yan
  • Fu-Mei Han
  • Yongkang Zhang
  • Xinyue Yan

Abstract

With the continuous advancement of digital technology, traditional manufacturing and service industries are facing dynamic changes with diversified demand and business models. Digital transformation (DT) and dynamic business modeling have become increasingly necessary for companies to evaluate and prioritize better opportunities to improve strategic planning and productivity. This study demonstrates that the system dynamics modeling process, based on the principles of sustainable system development, can fully reflect the comprehensiveness of systems thinking and avoid the drawbacks of linear thinking failing to integrate various departments. The proposed model enables the comprehensive integration of technology, production, marketing, management, and capital, thereby identifying and testing opportunities for successful DT with minimal costs and budgetary constraints. A real-world case study demonstrates the value of simulation-based dynamic business modeling with scientific data analysis for evaluating DT strategies.

Suggested Citation

  • Min-Ren Yan & Haiyan Yan & Fu-Mei Han & Yongkang Zhang & Xinyue Yan, 2026. "Evaluation of Digital Transformation Strategies Through Dynamic Business Modeling and Scenario Analysis," Evaluation Review, , vol. 50(1), pages 3-29, February.
  • Handle: RePEc:sae:evarev:v:50:y:2026:i:1:p:3-29
    DOI: 10.1177/0193841X251350016
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    References listed on IDEAS

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