@inproceedings{scholars9865,
            note = {cited By 2; Conference of 4th International Conference on Computer and Information Sciences, ICCOINS 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:141665},
             doi = {10.1109/ICCOINS.2018.8510616},
            year = {2018},
           title = {Mobile Learning and Software as a Service: The Effect on Knowledge Sharing},
         journal = {2018 4th International Conference on Computer and Information Sciences: Revolutionising Digital Landscape for Sustainable Smart Society, ICCOINS 2018 - Proceedings},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
          author = {Al-Arabiat, D. A. and Ahmad, W. F. W. and Sarlan, A.},
            isbn = {9781538647431},
        keywords = {E-learning; Knowledge management; Software as a service (SaaS); Students; Web services, Higher education institutions; Higher education institutions (HEIs); Knowledge intensives; Knowledge resource; Knowledge-sharing; M-Learning; Mobile Learning; Self-administered questionnaire, Mobile cloud computing},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057084520&doi=10.1109\%2fICCOINS.2018.8510616&partnerID=40&md5=373587ad95a59c4000656fa0e8c3a7cf},
        abstract = {Higher education institutions (HEIs) are knowledge intensive environments where students play a vital and critical role in leveraging knowledge resources. Recently, HEIs have made significant investments in information technology for example Mobile learning and Cloud Computing to establish effective knowledge-sharing (KS) practices and to support knowledge sharing among students. Yet little is known about how cloud computing affects the development of M-learning and how M-learning affect knowledge sharing. This study aims to explore the impact of M-learning and cloud computing on knowledge sharing among students in HEIs. In this study, self-administered questionnaire which involved 418 students from seven public and private universities in Malaysia were gathered. The analysis results revealed that the technical barriers of M-learning have a negative impact on M-learning. While, cloud computing will increase the opportunities to meet the technical problems of M-learning. It is also found that M-learning has a positive impact on knowledge sharing. {\^A}{\copyright} 2018 IEEE.}
}