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Exploring Factors Influencing Nurse’s Intention to Use a Technology-Mediated Training System

Cheng-Tao Yu,Chihmin Ma,Bor‐Wen Cheng-2015-11-01
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Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT: This study proposes a conceptual model that investigates the factors affecting nurses ' behavioral intention to use a Blended E-Learning System (BELS). We integrated motivation, the Theory of Planned Behavior (TPB), and the Technology Acceptance Model (TAM) to create a theoretical model to explain and predict the intentions of learners to use BELS. Additionally, in the research model, motivation is proposed as a formative second-order construct driven by intrinsic motivation. Self-reporting questionnaires were distributed to local community hospitals, regional hospitals, and medical centers in Taiwan. Among the 589 distributed questionnaires, we received 528 valid responses, yielding a response rate of 89.64%. Using structur

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Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT: This study proposes a conceptual model that investigates the factors affecting nurses ' behavioral intention to use a Blended E-Learning System (BELS). We integrated motivation, the Theory of Planned Behavior (TPB), and the Technology Acceptance Model (TAM) to create a theoretical model to explain and predict the intentions of learners to use BELS. Additionally, in the research model, motivation is proposed as a formative second-order construct driven by intrinsic motivation. Self-reporting questionnaires were distributed to local community hospitals, regional hospitals, and medical centers in Taiwan. Among the 589 distributed questionnaires, we received 528 valid responses, yielding a response rate of 89.64%. Using structur

Keywords

Technology acceptance modelTheory of planned behaviorPsychologyConstruct (python library)Conceptual modelFormative assessmentStructural equation modelingAffect (linguistics)

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