Leveraging social networks in the adoption of mobile technologies for collaboration |
| |
| Affiliation: | 1. Department of Industrial Engineering and Management, Ariel University, P.O. Box 40700, Ariel, Israel;2. Department of Management and Information Systems, College of Business, Mississippi State University, P.O. Box 9581, MS 39762-9581, USA;3. Department of Computer Science & Information Systems, Southern Utah University, Cedar City, UT 84720-2498, USA;1. Center for Healthcare Research in Pediatrics (CHeRP), Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Mass;2. Division of Medical Informatics and Telemedicine, Children''s Mercy Hospital, Kansas City, Mo;1. Center of Excellence in Information Assurance (COEIA), King Saud University (KSU), Riyadh, Saudi Arabia;2. College of Computer and Information Sciences (CCIS), King Saud University (KSU), Saudi Arabia;3. Intelligent Systems Group (ISG), Department of Computing, Macquarie University, NSW 2109, Australia;1. Department of Science Education, Fatih Faculty of Education, Karadeniz Technical University, 61335, Sö?ütlü, Trabzon, Turkey;2. Department of Science Education, Faculty of Education, Recep Tayyip Erdo?an University, 53000, Çayeli, Rize, Turkey |
| |
| Abstract: | Mobile devices such as tablets, smart phones, and portable computers are connecting users in a myriad of contexts. Social networks can be a benefit for individuals in the knowledge acquisition process, and group dynamics disclosed by Social Network Analysis provides a good basis for studying how mobile collaboration is affected by social networks. This study focuses on two aspects of social network mechanism, namely eigenvector centrality and network reciprocity. The assumption is that social networks influence mobile technology use behaviors, and can be optimized to leverage mobile collaboration. A series of controlled field experiments involving 327 groups were conducted to evaluate the differences between two modes of mobile collaborative settings: individual non-collaborative vs. group collaborative. Results indicate that by leveraging social networks in a mobile platform, study participants were able to positively heighten their collaborative knowledge acquisition process through enhanced group interactions and enjoyment. |
| |
| Keywords: | Social networks Mobile collaboration Mobile learning Collaborative Knowledge Acquisition |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
