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Article

Choy-Har Wong, Garry Wei-Han Tan, Siew-Phaik Loke and Keng-Boon Ooi

The purpose of this paper is to explore the factors that influence users’ behavioral intention (BI) to adopt mobile social networking sites (mSNS) in facilitating…

Abstract

Purpose

The purpose of this paper 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 squares 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.

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Article

Choy-Har Wong, Garry Wei-Han Tan, Siew-Phaik Loke and Keng-Boon Ooi

While mobile TV (m-TV) is beneficial and is currently an emerging area within mobile commerce, the adoption rate is at the infancy stage. The purpose of this paper is…

Abstract

Purpose

While mobile TV (m-TV) is beneficial and is currently an emerging area within mobile commerce, the adoption rate is at the infancy stage. The purpose of this paper is therefore to adapt the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to explore on the factors in predicting users’ behavioral intention (BI) of m-TV.

Design/methodology/approach

Partial least square structural equation modeling approach was employed using 193 respondents to test the findings.

Findings

The findings revealed that effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM) and habit (HT) have significant effects on BI. In addition, gender was found to have moderating effect between FC and BI.

Practical implications

Findings from this study provide valuable insights and contribute to the marketing strategy for mobile marketers, wireless communications vendors and application developers in the m-TV industry.

Originality/value

Since the emergence of m-TV is regarded as a new concept, what factors that may motivate users to watch TV using m-devices remains unexplored and therefore is currently a neglected research area. This paper provides clues and valuable insights for mobile marketers, wireless communications vendors and application developers in the m-TV industry.

Details

Industrial Management & Data Systems, vol. 114 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

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