Organizational and behavioral attributes’ roles in adopting cloud services: An empirical study in the healthcare industry

• Published in: PloS one 2023-08, Vol.18 (8), p.e0290654-e0290654
• Main Authors: Meri, Ahmed, Hasan, Mohammad Khatim, Dauwed, Mohammed, Jarrar, Mu'taman, Aldujaili, Ali, Al-Bsheish, Mohammed, Shehab, Salah, Kareem, Haitham Mohsin
• Format: Article
• Language: English
• Subjects: Analysis; Archives & records; Behavior; Cloud computing; Cloud systems; Computer and Information Sciences; Data analysis; Developing countries; Empirical analysis; Engineering and Technology; Evaluation; Health care; Health care expenditures; Health care industry; Health care policy; Health facilities; Health services; Hospitals; Information; Information management; Information processing; Information systems; Infrastructure; LDCs; Management; Medical informatics; Medical personnel; Medical records; Medicine and Health Sciences; Modularity; Multivariate statistical analysis; Organization theory; Organizational structure; Patients; People and Places; Policy making; Science Policy; Social Sciences; Social structure; Software services; Structural equation modeling; Success factors; Technicians; Utility computing; Utilization
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0290654

The need for cloud services has been raised globally to provide a platform for healthcare providers to efficiently manage their citizens’ health records and thus provide treatment remotely. In Iraq, the healthcare records of public hospitals are increasing progressively with poor digital management. While recent works indicate cloud computing as a platform for all sectors globally, a lack of empirical evidence demands a comprehensive investigation to identify the significant factors that influence the utilization of cloud health computing. Here we provide a cost-effective, modular, and computationally efficient model of utilizing cloud computing based on the organization theory and the theory of reasoned action perspectives. A total of 105 key informant data were further analyzed. The partial least square structural equation modeling was used for data analysis to explore the effect of organizational structure variables on healthcare information technicians’ behaviors to utilize cloud services. Empirical results revealed that Internet networks, software modularity, hardware modularity, and training availability significantly influence information technicians’ behavioral control and confirmation. Furthermore, these factors positively impacted their utilization of cloud systems, while behavioral control had no significant effect. The importance-performance map analysis further confirms that these factors exhibit high importance in shaping user utilization. Our findings can provide a comprehensive and unified guide to policymakers in the healthcare industry by focusing on the significant factors in organizational and behavioral contexts to engage health information technicians in the development and implementation phases.