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March 31, 2026Global Journal of Flexible Systems Management2 citationsOpen Access

Enhancing Healthcare Management With Digital Twin Technology Using UTAUT2-TOE Framework

Enhancing Flexible Healthcare Management Through the Adoption of Digital Twin Technology: An Integrated UTAUT2-TOE Framework with SEM-ANN Analysis

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Authors

IHIsmail HossainHBH. M. BelalSRShahriar Hasan Ratul

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Overview

Examines factors influencing digital twin adoption in healthcare, highlighting implications for policymakers.

Key Points

  • The central aim is to explore the factors affecting digital twin technology adoption in healthcare settings, especially in resource-limited environments.
  • Data collected from 439 healthcare professionals
  • Developed an integrated model combining UTAUT2 and TOE frameworks
  • Analyzed data using structural equation modeling and artificial neural networks
  • All predictors significantly impact behavioral intention
  • Complexity has a negative effect on adoption
  • Regulatory support and facilitating conditions are influential factors
  • Model explains 88.4% of the variance in behavioral intention
  • Only 8.5% of actual digital twin adoption is explained by the model

Cite This Study

Hossain et al. (2026) studied this question.

synapsesocial.com/papers/69cb64b0e6a8c024954b8bf0https://doi.org/10.1007/s40171-026-00491-1
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