Analysis of user resistance towards adopting e-learning

Feby Artwodini Muqtadiroh*, Amna Shifia Nisafani, Regina Mia Saraswati, Anisah Herdiyanti

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)


SHARE ITS - Sharable and Reusable e-learning of ITS, has been implemented by Institut Teknologi Sepuluh Nopember (ITS) since 2006. The web-based Learning Management System has been utilized by lectures to manage blended learning-based courses. Although previous researches have discussed the readiness assessment from student perspectives, and technology adoption factors to improve continuous use of SHARE ITS, only small number of courses are active among hundred courses registered in SHARE ITS, based on the statistics provided by ITS Academic Director in 2017. The lack of participation from lecturers to deliver blended learning-based courses, and the absence of policy and resources to support the participation, is seen as the main drivers of the lagging implementation of SHARE ITS. In the light of understanding these issues, the study aimed at analyzing the factors that influence the users' resistance toward SHARE ITS implementation. The perspective of lecturers was taken into consideration based on a conceptual model developed by Lin et al. The model introduced resistance factors, including perceived threat, perceived usefulness, perceived inequity, and behavior intention. The study showed that perceived threat factor contributes to the low level of user intention toward SHARE ITS. The perceived inequity factor also influenced the perceived threat factor due to the inequalities impact toward SHARE ITS adoption. Therefore, both factors may have an impact toward the continuous usage of SHARE ITS.

Original languageEnglish
Pages (from-to)123-132
Number of pages10
JournalProcedia Computer Science
Publication statusPublished - 2019
Event5th Information Systems International Conference, ISICO 2019 - Surabaya, Indonesia
Duration: 23 Jul 201924 Jul 2019


  • Adoption
  • Behavior intention
  • E-learning
  • Perceived inequity
  • Perceived threat
  • Perceived usefulness
  • User resistance


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