Adoption of mobile social networking sites for learning?

Abstract

Access to this document was granted through an Emerald subscription provided by emerald-srm:123705 [] For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The primary objective of this study is to explore the factors that influence users' behavioral intention (BI) to adopt mobile social networking sites (mSNS) in facilitating formal/informal learning. Specifically, the study also investigates the association of mobility, reachability and convenience with performance expectancy (PE) and effort expectancy (EE). Design/methodology/approach -Partial Least Square Structural Equation Modeling (PLS-SEM) approach was applied to test on 266 valid responses. Findings -The findings indicated that learning compatibility (LC), PE, EE and copyright clearance (CC) has a significant effect on BI. The results also revealed that EE is influenced by mobility, reachability and convenience. PE however was found to be influenced by convenience. Practical implications -The results of this study provides valuable insights and references for practitioners and mobile network providers in developing mSNS in facilitating learning. Originality/value -While mSNS have the potential to become a new research area with numerous benefits for the learning community, there is little research on the adoption factors on mSNS in facilitating learning. This study therefore attempts to close the research gap by contributing to the mobile literatures.

University Students’ Perceptions of the Use of Digital Technologies in their Formal Learning: A Developing Country Perspective

“…The students formed their perceptions of the use of digital technologies in their formal learning based on their experiences of the use of such technologies in their personal and social lives as well as the use of these technologies in informal learning. The findings aligned with findings of similar studies that showed students had positive perceptions about the use of digital technologies in their formal learning, examples of these digital technologies include mobile devices (Kim, et al, 2013); mobile SMS (Wong, et al, 2015), online social networking (Hamid, et al, 2015) and general ICT (Waycott et al, 2010;Makura 2014). The findings suggest that students would accept the use of digital technologies in their formal learning.…”

“…Their attitudes did not differ based on their gender and computer experience, but they did differ based on their ability to use computer programs. Wong, Tan, Loke, and Ooi (2015) examined the factors that influence users' intentions to use mobile SMS to facilitate their learning; they found that performance expectancy, effort expectancy, learning compatibility, reachability, and convenience all had significant influences on intentions to use. In a more recent study, Baturay, Gökçearslan, and Ke (2017) examined the factors that influence students' intentions of accepting technology.…”

QR code and mobile payment: The disruptive forces in retail

“…Particularly, the sampling locations were selected from the list of five large shopping malls in Klang Valley ( Chin, 2018 ). The reason being was that high traffic of consumers with different demographics are present in shopping malls ( Wong et al, 2015 ; Tan and Ooi, 2018 ). Additionally, the timing of the data collection varied in order to prevent sample bias ( Hew et al, 2017 ).…”

Explaining Students’ Continuance Intention to Use Mobile Web 2.0 Learning and Their Perceived Learning: An Integrated Approach

“…Current studies on exploring the conventional use of these tools for daily SIs cannot explain the behavior of individuals to adopt them for learning purposes (Tan, Ooi, Sim, & Phusavat, 2012; R.-B. Wang & Du, 2014; C.-H. Wong, Tan, Loke, & Ooi, 2015). Consequently, it is important to explore the factors that influence users to adopt mobile Web 2.0 learning (MW2.0L).…”