E-learning adoption in higher education: A review

MI Baig, L Shuib… - Information …, 2022 - journals.sagepub.com
In recent years, e-learning has become pivotal in higher education sectors. Researchers are
correlating novel approaches with e-learning to facilitate education. However, despite the …

How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?

M Nilashi, AM Baabdullah, RA Abumalloh… - Annals of Operations …, 2023 - Springer
Big data and predictive analytics (BDPA) techniques have been deployed in several areas
of research to enhance individuals' quality of living and business performance. The …

Barriers and facilitators to adoption of e-learning in higher education institutions of Pakistan during COVID-19: Perspectives from an emerging economy

MA Qazi, MA Sharif, A Akhlaq - Journal of Science and Technology …, 2024 - emerald.com
Purpose Integrating e-learning into higher education institutions (HEIs) is a complex
process. Several universities had tried to impart learning online, especially amid the spread …

Analysis on quality of learning in e-Learning platforms

MRM Veeramanickam, P Ramesh - Advances in Engineering Software, 2022 - Elsevier
This paper plans to introduce a model that concerns e-Learning quality management
systems under two phases:(i) Questionnaire preparation and (ii) Predicting the impact of e …

The sequential mediation model of students' willingness to continue online learning during the COVID-19 pandemic

AH Ngah, NI Kamalrulzaman, MFH Mohamad… - Research and Practice …, 2022 - Springer
This study explored the factors influencing students' willingness to continue with the online
learning system during the coronavirus disease 2019 (COVID-19) pandemic by adopting the …

The determinants of teachers' continuance commitment to e-learning in higher education

S San-Martín, N Jiménez, P Rodríguez-Torrico… - Education and …, 2020 - Springer
Technological evolution involves a challenge for teachers and higher education institutions
to achieve e-learning success. This paper addresses this issue from the teachers' …

E-learning readiness assessment using machine learning methods

M Zine, F Harrou, M Terbeche, M Bellahcene, A Dairi… - Sustainability, 2023 - mdpi.com
Assessing e-learning readiness is crucial for educational institutions to identify areas in their
e-learning systems needing improvement and to develop strategies to enhance students' …

An exploration of eLearning adoption in the educational ecosystem

MA de Souza Rodrigues, P Chimenti… - Education and …, 2021 - Springer
Teaching and learning processes have not experienced major changes during the last
centuries. However, eLearning platforms may transform these processes, turning the …

[HTML][HTML] A novel framework for investigating organizational adoption of AI-integrated CRM systems in the healthcare sector; using a hybrid fuzzy decision-making …

M Dastjerdi, A Keramati, N Keramati - Telematics and Informatics Reports, 2023 - Elsevier
Abstract CRMS (Customer Relationship Management system) is a brand-new technology
that assists hospitals in managing their relationship with patients. Organizations' analysis …

[HTML][HTML] Towards a model of research data management readiness in Indonesian context: An investigation of factors and indicators through the fuzzy delphi method

E Marlina, AN Hidayanto, B Purwandari - Library & Information Science …, 2022 - Elsevier
The research data management (RDM) readiness model assists research institutions in
measuring their readiness level and identifying gaps to develop a strategy for implementing …