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Education and Information Technologies

, Volume 24, Issue 6, pp 3555–3576 | Cite as

Using the HOT-fit model to predict the determinants of E-learning readiness in higher education: a developing Country’s perspective

  • Marva MirabolghasemiEmail author
  • Sahar Hosseinikhah Choshaly
  • Noorminshah A. Iahad
Article
  • 79 Downloads

Abstract

E-learning readiness has been initiated in higher education institutions (HEI) as an attempt to improve institutions’ service delivery. Meeting and managing the expectations of students using e-learning systems to facilitate teaching and learning activities is a prominent way to make HEI competitive. The purpose of this study is to investigate the impact of human, organizational, and technological factors on students’ e-learning readiness. This study was conducted by using a survey method in a private university in the north region of Iran with a total number of 153 respondents. Survey data were analyzed using the partial least squares (PLS) method while Smart PLS was used to test the hypotheses and to validate the proposed model. The results indicated that computer self-efficacy, management support, relative advantage, compatibility, and complexity are significant factors that influence students’ e-learning readiness. The findings provide a basis for assessing the determinants of e-learning readiness in developing countries.

Keywords

Computer self-efficacy E-learning readiness HOT-fit model Management support Relative advantage Subjective norm 

Notes

Acknowledgements

The authors would like to thank anonymous reviewers and those who aided in ensuring the high quality of this paper through the review process.

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Marva Mirabolghasemi
    • 1
    Email author
  • Sahar Hosseinikhah Choshaly
    • 1
  • Noorminshah A. Iahad
    • 2
  1. 1.Islamic Azad UniversityLahijanIran
  2. 2.Universiti Teknologi MalaysiaJohor BahruMalaysia

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