Predicting user acceptance of collaborative technologies : An extension of the technology acceptance model for e-learning

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

249 Scopus Citations
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Author(s)

  • Ronnie Cheung
  • Doug Vogel

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)160-175
Journal / PublicationComputers and Education
Volume63
Publication statusPublished - 2013

Abstract

Collaborative technologies support group work in project-based environments. In this study, we enhance the technology acceptance model to explain the factors that influence the acceptance of Google Applications for collaborative learning. The enhanced model was empirically evaluated using survey data collected from 136 students enrolled in a full-time degree program that used Google Applications to support project work. According to the research results, determinants of the technology acceptance model are the major factors influencing the adoption of the technology. In addition, the subjective norm represented by peers is found to significantly moderate the relationship between attitude and intention toward the technology. However, our results do not show a significant effect of subjective norms represented by instructors and mass media on students' intentions to use the technology. The ability to share information in the collaborative learning environment is found to influence intention and behavior toward the Google Applications platform. © 2012 Elsevier Ltd. All rights reserved.

Research Area(s)

  • Collaborative technologies, Technology acceptance model