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Mobile Information Systems
Volume 2019, Article ID 8026042, 9 pages
https://doi.org/10.1155/2019/8026042
Research Article

An Integrated SEM-Neural Network Approach for Predicting Determinants of Adoption of Wearable Healthcare Devices

1Faculty of Computer Science and Information Technology, University Putra Malaysia, Seri Kembangan, Malaysia
2School of Computing Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
3Department of Computer Science, University of Swabi, Pakistan

Correspondence should be addressed to Shahla Asadi; moc.liamg@3002alhahs.idasa

Received 16 November 2018; Accepted 27 January 2019; Published 14 February 2019

Guest Editor: Raquel Lacuesta

Copyright © 2019 Shahla Asadi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Shahla Asadi, Rusli Abdullah, and Yusmadi Yah Jusoh, “An Integrated SEM-Neural Network for Predicting and Understanding the Determining Factor for Institutional Repositories Adoption,” Intelligent Systems and Applications, vol. 1038, pp. 513–532, 2019. View at Publisher · View at Google Scholar
  • Elaheh Yadegaridehkordi, Mehrbakhsh Nilashi, Liyana Shuib, and Sarminah Samad, “A behavioral intention model for SaaS-based collaboration services in higher education,” Education and Information Technologies, 2019. View at Publisher · View at Google Scholar