Establishing determinants of electronic books utilisation: An integration of two human computer interaction adoption frameworks

Boniswa Mafunda, Aaron Bere, James Swart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Rapid technological developments led to the development of eBooks. The high propagation of pervasive technologies creates opportunities for eBook utilisation over traditional textbooks, thus providing students with learning resources everywhere and anywhere at a cheaper price. This study developed a model for assessing determinants for eBook adoption based on the Task-technology-Fit theory and the Technology Acceptance Model. The developed model is validated using factor analysis and path analysis statistical methods. Findings of the study suggest that usability of eBooks is influenced by learning task characteristics, technology characteristics and individual student characteristics. Furthermore, the study provides insights into the effects that eBooks adoption exerts on student academic performance.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationNovel User Experiences - 18th International Conference, HCI International 2016, Proceedings, Part III
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages549-562
Number of pages14
ISBN (Print)9783319395128
DOIs
Publication statusPublished - 2016
Event18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
Duration: 17 Jul 201622 Jul 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9733
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Human-Computer Interaction, HCI International 2016
Country/TerritoryCanada
CityToronto
Period17/07/1622/07/16

Keywords

  • EBooks Adoption
  • Task technology fit
  • Technology acceptance model

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