• DocumentCode
    2168186
  • Title

    Assesing e-learning system in a semiconductor firm: A conceptual framework

  • Author

    Eze, Uchenna Cyril ; Soong, Kai Kit ; Lee, Chai Har

  • Author_Institution
    Sch. of Bus., Monash Univ., Selangor, Malaysia
  • fYear
    2012
  • fDate
    13-15 March 2012
  • Firstpage
    131
  • Lastpage
    135
  • Abstract
    Electronic learning or e-learning covers a varied learning structure supported by computer software for the storage of learning materials and information systems. Many firms have embraced e-learning approaches rather than the traditional classroom training structure in order to save time and other resources. Although companies are adopting e-learning, there are very few firms that have evaluated the acceptance of trainings using electronic medium. In this case study, an extended TAM with three additional independent variables (Perceive Value Added, Internal Selling of e-learning Software, and Perceived Need for Training) was used to examine employees´ willingness to adopt e-learning system in ABC semiconductor firm. Five hypotheses were developed based on the conceptual framework. We developed a research design and protocol for this study based on prior research. Data analysis will involve the use of regression analysis to test the hypotheses, and based on the findings, we will highlight specific contributions of the findings to practice and research including suggestions for future research.
  • Keywords
    computer aided instruction; data analysis; electronic engineering computing; regression analysis; semiconductor industry; ABC semiconductor firm; TAM; conceptual framework; data analysis; e-learning software internal selling; e-learning system assessment; electronic learning; perceive value added; regression analysis; traditional classroom training structure; training perceived need; Business; Computers; Educational institutions; Electronic learning; Software; Training; E-learning; Malaysia; internet; manufacturing firm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-1091-8
  • Type

    conf

  • DOI
    10.1109/InfRKM.2012.6205021
  • Filename
    6205021