What Drives Nurses' Blended e-Learning Continuance Intention?
ARTICLE
Yung-Ming Cheng
Journal of Educational Technology & Society Volume 17, Number 4 ISSN 1176-3647 e-ISSN 1176-3647
Abstract
This study's purpose was to synthesize the user network (including subjective norm and network externality), task-technology fit (TTF), and expectation-confirmation model (ECM) to explain nurses' intention to continue using the blended electronic learning (e-learning) system within medical institutions. A total of 450 questionnaires were distributed to nurses, of which, 352 (78.2%) questionnaires were returned, and 322 effective questionnaires were analyzed in this study, with an effective response rate of 71.6%. Collected data were analyzed using structural equation modeling. This study's results strongly supported the extended ECM with all hypothesized links being significant. The results reveal that TTF makes the greatest impact on nurses' blended e-learning continuance intention; hence, the blended e-learning system should be developed to fit with nurses' work goals and needs to enhance their continued system usage intention by increasing the extent of their confirmation to the system. Besides, user network profoundly affects nurses' intention to continue using the blended e-learning system, to boost nurses' continued system usage intention, medical institutions should strive to encourage opinion leaders among nurses to have some influence on nurses' belief and make them believe the system must be useful in its purpose.
Citation
Cheng, Y.M. What Drives Nurses' Blended e-Learning Continuance Intention?. Journal of Educational Technology & Society, 17(4), 203-215. Retrieved August 10, 2024 from https://www.learntechlib.org/p/156098/.
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Keywords
- blended learning
- Delivery Systems
- electronic learning
- Expectation
- Factor Analysis
- Foreign Countries
- Hypothesis Testing
- Intention
- Likert Scales
- Measurement Objectives
- Measurement Techniques
- models
- Nurses
- nursing
- nursing education
- Participant Characteristics
- Questionnaires
- social networks
- Structural Equation Models
- Synthesis
- Technology Uses in Education
- usability
- workplace learning