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Redefining knowledge-generation-driven blockchain for healthcare use: Insights from medical institutions

Amir A. Abdulmuhsin et al.

Health Services Management Research2025https://doi.org/10.1177/09514848251358332article
AJG 1ABDC C
Weight
0.48

What the paper says

This study explores the factors influencing healthcare professionals' willingness to adopt knowledge-generation-driven Blockchain technology (KGDBT) in government healthcare facilities, using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. It introduces transparency as an independent variable and examines the mediating role of knowledge generation in the relationship between transparency and healthcare professionals' intention to adopt KGDBT. Data were collected from 322 healthcare professionals in government hospitals and analyzed using SPSS version 26 and SmartPLS version 3.9 for Partial Least Squares Structural Equation Modeling (PLS-SEM). The results strongly support the theoretical framework, demonstrating that performance expectancy, effort expectancy, social influence, facilitating conditions, and transparency significantly influence healthcare professionals' adoption of Blockchain technology. Additionally, the study identifies knowledge generation as a critical mediating factor between transparency and behavioral intention to adopt KGDBT. This research addresses the challenges of implementing Blockchain technology in healthcare by proposing a knowledge management-oriented approach to enhance its effectiveness. It highlights the critical role of transparency in promoting technology adoption and fills a gap in the literature on Blockchain and knowledge management, particularly within the Iraqi healthcare context. This study offers new insights, contributing to a comprehensive understanding of the role of knowledge generation in Blockchain adoption.

5 citations

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https://doi.org/https://doi.org/10.1177/09514848251358332

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@article{amir2025,
  title        = {{Redefining knowledge-generation-driven blockchain for healthcare use: Insights from medical institutions}},
  author       = {Amir A. Abdulmuhsin et al.},
  journal      = {Health Services Management Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/09514848251358332},
}

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Redefining knowledge-generation-driven blockchain for healthcare use: Insights from medical institutions

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Evidence weight

0.48

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

F · citation impact0.41 × 0.4 = 0.16
M · momentum0.63 × 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.