arbiter
JournalsAccount

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

Min-Ren Yan et al.

Evaluation Review2025https://doi.org/10.1177/0193841x251350016article
AJG 1ABDC A
Weight
0.44

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.

3 citations

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/0193841x251350016

Or copy a formatted citation

@article{min-ren2025,
  title        = {{Evaluation of Digital Transformation Strategies Through Dynamic Business Modeling and Scenario Analysis}},
  author       = {Min-Ren Yan et al.},
  journal      = {Evaluation Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/0193841x251350016},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

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

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.