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Title page for etd-0726116-205818


URN etd-0726116-205818 Statistics This thesis had been viewed 404 times. Download 0 times.
Author Szu-Hua Chen
Author's Email Address No Public.
Department Management Business Administration
Year 2015 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 59
Title USING “INFORMATION SYSTEM SUCCESS MODEL” AND “TECHNOLOGY ACCEPTANCE MODEL” TO DEVELOP PREDICTORS OF E-LEARNING SYSTEM USAGE DESIRE AND INTENTION
Keyword
  • Intention to Usage
  • Desire to Usage
  • Computer Self-efficacy
  • e-Learning System
  • Information System Success
  • Technology Acceptance Model
  • Technology Acceptance Model
  • Information System Success
  • e-Learning System
  • Computer Self-efficacy
  • Desire to Usage
  • Intention to Usage
  • Abstract With the trend of global informatisation and technologization, countries around the world deem “e-Learning” as an important strategy to enhance national knowledge competitiveness. “E-Learning” has characteristic to overcome time and space constraints. Hence, companies use “e-Learning” as a tool to perform internal education and training gradually become a trend. As a result, understanding antecedents of employees’ “e-Learning” “desire to usage” and “intention to usage” is critical.
    This study aimed to use “Technology Acceptance Model” and “Information System Success” to explain the e-Learning system “desire to usage” and “intention to usage”. This study invited the staffs of B company in Taiwan which uses e-Learning system to conduct education and training to participate the survey. By the convenience sampling, 110 validate samples contributed to this study.
    The results indicated that “computer self-efficacy” significantly and positively influence “perceived ease of use” and “perceived usefulness”. “information quality” and “service quality” significantly and positively influence “perceived ease of use” and “perceived usefulness”; “system quality” significantly and positively influences “perceived ease of use”. Besides, “working correlation” significantly and positively influences “perceived usefulness”; “perceived ease of use” significantly and positively influences “perceived usefulness”. Finally, “perceived ease of use” and “perceived usefulness” significantly and positively influence e-Learning system “desire to usage” and “intention to usage”; “desire to usage” significantly and positively influences “intention to usage”
    Advisor Committee
  • Tze-Hsien Liao - advisor
  • Kun-Huang Yeh - co-chair
  • Yun-Huei Lee - co-chair
  • Files indicate not accessible
    Date of Defense 2016-06-17 Date of Submission 2016-07-26


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