Cloud computing · Quantitative questionnaire study integrating ECM, TTF, and updated DeLone–McLean IS-success model; structural equation modeling.
Quality antecedents and performance outcome of cloud-based hospital information system continuance intention
Journal of Enterprise Information Management · 2020
Summary
Information, system, technical support, and cloud-storage quality positively affected usefulness, confirmation, and perceived task-technology fit; these explained satisfaction, which led to continuance intention and performance impact.
For your marketing
Possible founder application
For vertical SaaS, instrument quality at every layer—data, system, support, storage—and connect satisfaction to users’ actual work fit and performance outcomes.
Reported result
What the study found
Information, system, technical support, and cloud-storage quality positively affected usefulness, confirmation, and perceived task-technology fit; these explained satisfaction, which led to continuance intention and performance impact.
Research question
What the authors investigated
How do information, system, technical-support, cloud-storage quality, and task-technology fit affect physicians’ continuance intention and performance impact for a cloud HIS?
Design
Quantitative questionnaire study integrating ECM, TTF, and updated DeLone–McLean IS-success model; structural equation modeling.
Sample and setting
Physicians at five hospitals in Taiwan; 500 questionnaires distributed and 305 usable responses analyzed (61.0%).
Scope and transfer
Limitations to keep in view
Single healthcare-country context and physician self-report, cross-sectional SEM design limit generalization and causal claims; continuance is intention rather than observed renewal.
Research sources
Fetched Emerald publisher abstract: author/citation/DOI, Taiwan five-hospital setting, 500/305 response counts, SEM design, integrated models, and findings. Firecrawl research job 01a1436c-f86b-77df-af1c-9a2f87e3535e returned this citation and metadata.