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Journal of Applied Sciences
  Year: 2013 | Volume: 13 | Issue: 5 | Page No.: 736-742
DOI: 10.3923/jas.2013.736.742
 
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Integrating Technology Acceptance Model and Task-technology Fit into Blended E-learning System

Chih-Min Ma, Cheng-Min Chao and Bor-Wen Cheng

Abstract:
We propose a research framework to examine the determinants of nurse’s learning satisfaction in a Blended E-Learning System (BELS) environment based on task-technology fit and the technology acceptance model. The research framework integrates Task-Technology Fit (TTF), computer self-efficacy, the Technology Acceptance Model (TAM) and user satisfaction to hypothesize a theoretical model to explain and predict user’s behavioral intention to use a BELS. Self-reporting questionnaires were distributed to local community hospitals, regional hospitals and medical centers in central Taiwan. From the 900 distributed questionnaires, we received 650 completed questionnaires, yielding a response rate of 72.2%. Using Structural Equation Modeling (SEM), the results showed that perceived usefulness is an important factor affecting the behavioral intention to use a BELS. The TTF was expected to directly influence perceived usefulness. The findings provide insight into the factors that are likely to be crucial antecedents for planning and implementing a BELS to enhance nurse’s user satisfaction.
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How to cite this article:

Chih-Min Ma, Cheng-Min Chao and Bor-Wen Cheng, 2013. Integrating Technology Acceptance Model and Task-technology Fit into Blended E-learning System. Journal of Applied Sciences, 13: 736-742.

DOI: 10.3923/jas.2013.736.742

URL: https://scialert.net/abstract/?doi=jas.2013.736.742

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