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Richness Versus Parsimony Antecedents of Technology Adoption Model for E-Learning Websites

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Book cover Advances in Web Based Learning - ICWL 2008 (ICWL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5145))

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Abstract

E-learning can be viewed as an innovation in information technology (IT) and learning. The Technology Acceptance Model (TAM) has previously received significant attention in the IS research field. The Perceived Characteristics of Innovating (PCI) antecedents of technology adoption decisions have not been widely researched empirically. This study explores students’ perceptions of utilizing the e-learning website in their decision processes. This work also identifies which model supports a more explanation of variance in the e-learning context. Both TAM and PCI antecedents are investigated in the same context of an e-learning website. Experimental results demonstrate that the PCI constructs explain slightly more variance in users’ intentions of continued use than TAM antecedents. The PCI adoption model provides increasingly rich information concerning the continued use of e-learning website.

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Authors and Affiliations

  1. Department of Information Systems, National Taiwan University of Science and Technology, No. 43, Sec.4, Keelung Rd., Taipei, Taiwan, R.O.C.

    Hsiu-Li Liao & Hsi-Peng Lu

Authors
  1. Hsiu-Li Liao
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  2. Hsi-Peng Lu
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Editor information

Frederick Li Jianmin Zhao Timothy K. Shih Rynson Lau Qing Li Dennis McLeod

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© 2008 Springer-Verlag Berlin Heidelberg

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Liao, HL., Lu, HP. (2008). Richness Versus Parsimony Antecedents of Technology Adoption Model for E-Learning Websites. In: Li, F., Zhao, J., Shih, T.K., Lau, R., Li, Q., McLeod, D. (eds) Advances in Web Based Learning - ICWL 2008. ICWL 2008. Lecture Notes in Computer Science, vol 5145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85033-5_2

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  • DOI: https://doi.org/10.1007/978-3-540-85033-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85032-8

  • Online ISBN: 978-3-540-85033-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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