Open AccessAcademic Staff Perceptions on the E-Learning Recommender System: A Case of Saudi Arabia
Author(s) -
Hadeel Alharbi,
Kamaljeet Sandhu
Publication year - 2017
Publication title -
journal of management and strategy
Language(s) - English
Resource type - Journals
eISSN - 1923-3973
pISSN - 1923-3965
DOI - 10.5430/jms.v8n2p1
Subject(s) - continuance , recommender system , usability , qualitative research , perception , computer science , data collection , qualitative property , affect (linguistics) , knowledge management , quality (philosophy) , medical education , psychology , world wide web , medicine , human–computer interaction , social psychology , sociology , social science , philosophy , communication , epistemology , neuroscience , machine learning
This paper explores the academic staff perceptions on the factors affecting the acceptance and continuance usage of e-learning recommender system in Saudi Arabia on the basis of a qualitative data that were collected using the case study methodology. In this research, the case study design was selected for the qualitative methodology and semi-structured interviews were employed as the data collection method for the case study. The case study is based in a university implementing an e-learning recommender system in Saudi Arabia. We conducted interviews with five management staff and thus qualitative data were collected. Data analysis was performed and NVIVO 10th version software was also utilised. Data were coded and themes were then generated. Findings indicate several factors that affect an e-learning recommender system adoption that include user experience, service quality, perceived usefulness and perceived ease of use. Various suggestions were offered in this study and we also propose practical implications according to the identified insufficiencies.