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Determinants of Nurses’ Continuance Intention to Use Mobile Health Apps in Clinical Nursing Practice: Structural Equation Modeling to Extend the Expectation-Confirmation Model
16 references·0 citing·42 second hop
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References

  • 2011Habits make smartphone use more pervasive1,190 cited
  • 2016Measurement in Nursing and Health Research1,156 cited
  • 2018Understanding the Model Size Effect on SEM Fit Indices937 cited
  • 2018Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model569 cited
  • 2020What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period?477 cited
  • 2017Understanding the intention to use mobile shopping applications and its influence on price sensitivity398 cited
  • 2020Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues389 cited
  • 2018An Empirical Study of the Impacts of Perceived Security and Knowledge on Continuous Intention to Use Mobile Fintech Payment Services324 cited
  • 2018Examining the role of anxiety and social influence in multi-benefits of mobile payment service245 cited
  • 2019Usability factors predicting continuance of intention to use cloud e-learning application216 cited
  • 2017New determinants of ease of use and perceived usefulness for mobile banking adoption203 cited
  • 2019Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach150 cited
  • 2020Perceived value and continuance intention in mobile government service in China

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150 cited
  • 2017User Acceptance of Mobile Payment: The Effects of User‐Centric Security, System Characteristics and Gender131 cited
  • 2016Impact of Perceived Security on Trust, Perceived Risk, and Acceptance of Online Banking in Iran117 cited
  • 2011Technology adoption and use theory review for studying scientists' continued use of cyber‐infrastructure87 cited
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