Mobile computing acceptance factors in the healthcare industry: a structural equation model.
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Use of Clinical Anatomy Resources by Musculoskeletal Outpatient Physiotherapists in Australian Public Hospitals: A Cross-Sectional StudyA comprehensive faculty, staff, and student training program enhances student perceptions of a course-based research experience at a two-year institutionHow Environmental Uncertainty Moderates the Effect of Relative Advantage and Perceived Credibility on the Adoption of Mobile Health Services by Chinese Organizations in the Big Data Era.Factors affecting acceptance of smartphone application for management of obesityThe technology acceptance model: its past and its future in health careWhat to Build for Middle-Agers to Come? Attractive and Necessary Functions of Exercise-Promotion Mobile Phone Apps: A Cross-Sectional Study.Public claims about automatic external defibrillators: an online consumer opinions study.HealthTWITTER Initiative: Design of a Social Networking Service Based Tailored Application for Diabetes Self-ManagementExamining construct and predictive validity of the Health-IT Usability Evaluation Scale: confirmatory factor analysis and structural equation modeling results.Testing the Electronic Personal Health Record Acceptance Model by Nurses for Managing Their Own Health: A Cross-sectional SurveyFactors of accepting pain management decision support systems by nurse anesthetists.Comparative evaluation of different medication safety measures for the emergency department: physicians' usage and acceptance of training, poster, checklist and computerized decision support.Effects of body image on college students' attitudes toward diet/fitness apps on smartphones.An investigation of the effect of nurses' technology readiness on the acceptance of mobile electronic medical record systems.How the awareness of u-healthcare service and health conditions affect healthy lifestyle: an empirical analysis based on a u-healthcare service experienceAnalysis of the factors influencing healthcare professionals' adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospital.Factors affecting the adoption of healthcare information technology.Dynamic Task Optimization in Remote Diabetes Monitoring Systems.Interpretive flexibility in mobile health: lessons from a government-sponsored home care program.User acceptance of mobile health services from users' perspectives: The role of self-efficacy and response-efficacy in technology acceptance.Development of an ease-of-use remote healthcare system architecture using RFID and networking technologies.EMR continuance usage intention of healthcare professionals.Physician adoption of personal digital assistants (PDA): testing its determinants within a structural equation model.Factors influencing nurses' acceptance of hospital information systems in Iran: application of the Unified Theory of Acceptance and Use of Technology.Investigating factors influencing the adoption of e-Health in developing countries: A patient's perspective.Complementary relationships between traditional media and health apps among american college students.Web-Based Medical Service: Technology Attractiveness, Medical Creditability, Information Source, and Behavior Intention.Clinical information system post-adoption evaluation at the georges pompidou university hospital.Does attitude matter in computer use in Australian general practice? A zero-inflated Poisson regression analysis.Beyond technology acceptance to effective technology use: a parsimonious and actionable model.Understanding the mediating effects of relationship quality on technology acceptance: an empirical study of e-appointment system.Adding intelligence to mobile asset management in hospitals: the true value of RFID.Analysing the diffusion and adoption of mobile IT across social worlds.Determinants of Intention to Use Mobile Phone Caller Tunes to Promote Voluntary Blood Donation: Cross-Sectional Study.Impact of individualism and collectivism over the individual’s technology acceptance behaviourExploring Patients’ Use Intention of Personal Health Record Systems: Implications for DesignExploring determinants of adoption intentions towards Enterprise 2.0 applications: an empirical studyIdentify predictors of university students’ continuance intention to use online carbon footprint calculatorPhysicians’ motivations to use mobile health monitoring: a cross-country comparisonPhysiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice
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P2860
Mobile computing acceptance factors in the healthcare industry: a structural equation model.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Mobile computing acceptance fa ...... : a structural equation model.
@en
Mobile computing acceptance fa ...... : a structural equation model.
@nl
type
label
Mobile computing acceptance fa ...... : a structural equation model.
@en
Mobile computing acceptance fa ...... : a structural equation model.
@nl
prefLabel
Mobile computing acceptance fa ...... : a structural equation model.
@en
Mobile computing acceptance fa ...... : a structural equation model.
@nl
P2093
P1476
Mobile computing acceptance fa ...... : a structural equation model.
@en
P2093
Jen-Her Wu
Li-Min Lin
Shu-Ching Wang
P356
10.1016/J.IJMEDINF.2006.06.006
P577
2006-08-08T00:00:00Z