Modelling Cloud Computing Adoption in the Malaysian Healthcare

Cloud computing is increasingly reshaping the global IT landscape, offering scalable and efficient solutions across industries, including the healthcare sector. This study investigates the determinants of cloud computing adoption in the Malaysian healthcare industry by integrating the Resource-Based View (RBV) and Technology-Organisation-Environment (TOE) frameworks. Emphasising internal organisational capabilities, the study excludes traditional Information Systems (IS) models to maintain theoretical coherence with RBV’s strategic orientation toward firm-level resource advantages. Data were collected from 265 respondents across 127 healthcare organisations and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The study also proposes an extended taxonomy of cloud services contextualised for healthcare, strengthening the theoretical underpinnings and practical applicability of cloud adoption strategies in this domain. The findings reveal that among IT capabilities, managerial IT capability exerts the most substantial influence on adoption, followed by relational and technical capabilities. Within the TOE dimensions, regulatory support emerged as the most critical enabler, while business resources, change management, organisational culture, and vendor support also demonstrated significant positive effects. The results offer empirical validation for a comprehensive conceptual model grounded in RBV and TOE, providing both theoretical insights and practical guidance for healthcare organisations aiming to strengthen IT capabilities, optimise organisational readiness, and align with external institutional drivers for successful cloud migration.

@article{Noh2025,
  title     = {Modelling Cloud Computing Adoption in the Malaysian Healthcare},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {7},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Normilah Mohd Noh and Nurhizam Safie Mohd Satar and Hasimi Sallehudin and Ibrahim Hassan Mallam and Surya Sumarni Hussein and Nur Azaliah Abu Bakar},
  doi       = {10.14569/IJACSA.2025.0160738},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160738}
}