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

Authors:
Hsiu-Li Liao;Hsi-Peng Lu
Affiliations:
Department of Information Systems, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.;Department of Information Systems, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.
Venue:
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
Year:
2008

Citing 9
Cited 0

User acceptance of computer technology: a comparison of two theoretical models

Management Science
User acceptance of information technology: system characteristics, user perceptions and behavioral impacts

International Journal of Man-Machine Studies
Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions--Understanding Merchant Adoption of a Smart Card-Based Payment System

Information Systems Research
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior

Information Systems Research
Factors influencing the adoption of web-based shopping: the impact of trust

ACM SIGMIS Database
A Theoretical Integration of User Satisfaction and Technology Acceptance

Information Systems Research
Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation

Information and Management
Extending the TAM for a t-commerce

Information and Management
Gender Differences in Perceptions and Use of Communication Technologies: A Diffusion of Innovation Approach

Information Resources Management Journal

Quantified Score

Hi-index	0.00

Visualization

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.