Evidence map›Paper›PMID 42775699›Full record

ArticleJournal of nursing management2026

Determinants of Mobile Learning Behavioral Intention Usage Among Nurses: A Nexus of UTAUT2 Model and Information System Success Model.

Tsui Fen Chang, Cheng Min Chao, Wei Ru Chen

Abstract read
In one paragraph

Article in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tsui Fen ChangNursing Department, Yunlin Christian Hospital, Xiluo, Taiwan.
Cheng Min ChaoDepartment of Business Administration, National Taichung University of Science and Technology, Taichung, Taiwan, nutc.edu.tw.ORCID 0000-0003-4883-770X
Wei Ru ChenDepartment of Industrial Engineering and Management, Chaoyang University of Technology, Taichung, Taiwan, cyut.edu.tw.ORCID 0000-0003-4215-2371

Funding

Changhua Christian Hospital 109-CCH-IRP-202
6 · The paper itself

Abstract

backgroundMobile learning provides nurses with a flexible and convenient approach to continuing education and professional development. As nurses are required to continuously update their knowledge and skills, understanding the factors influencing their intention to adopt mobile learning is important for improving nursing education and management practices.

methodsThis study developed an integrated research model based on the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2), the Information System Success Model, and individual psychological factors, including mobile self-efficacy and technology anxiety. Data were collected from 173 nurses. Structural equation modeling was used to examine the determinants of nurses' behavioral intention to adopt mobile learning.

resultsThe findings showed that attitude, facilitating conditions, and habit were significant positive determinants of behavioral intention, whereas effort expectancy had a negative effect on behavioral intention. Performance expectancy and mobile self-efficacy were significant predictors of attitude. Effort expectancy and information quality had significant positive effects on performance expectancy, whereas mobile self-efficacy and technology anxiety had negative effects on performance expectancy. In addition, system quality was identified as a key determinant of effort expectancy.

conclusionThe results indicate that nurses' intention to adopt mobile learning is influenced by technological, psychological, and system-related factors. In particular, attitude, facilitating conditions, habit, performance expectancy, information quality, and system quality play important roles in shaping acceptance of mobile learning. IMPLICATIONS FOR NURSING MANAGEMENT: Healthcare administrators and nursing managers should improve system quality, provide sufficient technical support, and strengthen nurses' confidence and positive attitudes toward mobile learning. These strategies may enhance nurses' acceptance of mobile learning and support more effective continuing nursing education.

Indexed as

IntentionLearningMobile ApplicationsNursesAdultEducation, Nursing, ContinuingFemaleHumansMaleMiddle AgedSelf EfficacySurveys and Questionnairesanxietyeducational technologymobile applicationsnursingself-efficacytechnology acceptance

Identifiers

PMID42775699
PMCPMC13599366

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.