{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T20:03:46Z","timestamp":1770494626681,"version":"3.49.0"},"reference-count":103,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ITSE"],"published-print":{"date-parts":[[2023,5,9]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this study is to propose a hybrid model integrating the expectation-confirmation model with the views of cognitive absorption (CA) theory and updated DeLone and McLean information system success model to examine whether quality factors as antecedents to medical professionals\u2019 beliefs can affect their continuance intention of the cloud-based e-learning system.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This study\u2019s sampling frame was taken from among medical professionals working in hospitals with over 300 beds in Taiwan which had implemented the cloud-based learning management system (LMS) with a blend of asynchronous and synchronous technologies. Sample data for this study were collected from medical professionals at six hospitals in Taiwan. The data for this study were gathered by means of a paper-and-pencil survey, and each sample hospital that participated in this study was asked to identify a contact person who could distribute the survey questionnaires to medical professionals who had experience in using the cloud-based LMS in their learning. A total of 600 questionnaires were distributed, and 378 (63.0%) usable questionnaires were analyzed using structural equation modeling in this study.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>This study proved that medical professionals\u2019 perceived learner\u2013content interaction quality, learner\u2013system interaction quality, service quality, cloud storage service quality and learner\u2013human interaction quality all positively caused their perceived usefulness, confirmation and CA elicited by the cloud-based e-learning system, which jointly explained their satisfaction with the system, and resulted in their continuance intention of the system.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title>\n<jats:p>Several limitations and suggestions may open avenues for future research. First, the limitation of self-reported measures should be considered; future research may combine with qualitative data (e.g. semi-structured, narrative, in-depth interviews, focus group interviews and open-ended questions) to get more complete interpretations of medical professionals\u2019 cloud-based e-learning continuance intention. Next, this study\u2019s data were collected from hospitals in Taiwan only; given this study\u2019s limited scope, future research may generalize this study\u2019s sample to the respondents of other national cultural backgrounds and make cross-country comparisons to enhance the completeness of this study. Finally, this study\u2019 results were based on cross-sectional data; future research may use a longitudinal analysis by taking into account the evolution of medical professionals\u2019 cloud-based e-learning continuance intention over time.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This study fully evaluates interaction-related and cloud-related quality determinants through an understanding of medical professionals\u2019 state of CA in explaining their cloud-based e-learning system continuance intention that is difficult to expound with only their utilitarian perception of the system. Hence, the results contribute to deep insights into an all-round quality evaluation in the field of medical professionals\u2019 cloud-based e-learning continuance intention, and extrinsic and intrinsic motivators are both taken into consideration in this study\u2019s theoretical development of medical professionals\u2019 cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/itse-12-2021-0222","type":"journal-article","created":{"date-parts":[[2022,4,22]],"date-time":"2022-04-22T01:25:36Z","timestamp":1650590736000},"page":"228-256","source":"Crossref","is-referenced-by-count":10,"title":["What roles do quality and cognitive absorption play in evaluating cloud-based e-learning system success? 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