Abstract
Online schooling has been adopted worldwide due to the COVID-19 pandemic. During quarantine, people go online for all kind of purposes, especially for amusement such as via social networking sites (SNSs). This study examined university physical education (PE) students’ SNSs usage intention using the Unified Theory of Acceptance and Use of Technology model II (UTAUT2) in Taiwan. Research respondents were selected from PE departments of 19 universities through purposive sampling method. A total of 707 questionnaires were collected, with a returning rate of 93%. Using Warp PLS 7.0 as the main instrument for data analysis, this research finds that performance expectancy, facilitating conditions, hedonic motivation, price value, and habit within the UTAUT2 model have significant positive effects on students’ intention to use social networking sites, and the model explains 63.4% of the variance in their intention to use SNSs. Among those variables, hedonic motivation had the highest impact (β = 0.24). Moreover, intention, facilitating conditions and habit have significant positive effects on students’ use of social networking sites, and the model explains 13.4% of the variance in their use of social networking sites. The moderating effects of gender, age and experience are found in some path analyses. These findings provide future university instructors a with better understanding of students using SNSs. We thus recommend for university PE instructors to create interesting and pleasant classroom learning experiences to attract students’ attention, and recommend that they may even manage a SNS as an aid for teaching to enhance students’ interests in learning.
Highlights
With the prevalence of smartphones and 5G, social networking is part of many people’s everyday life
Our findings reported that performance expectancy (PET), facilitating conditions (FC), hedonic motivation (HM), price value (PV), and use behavior (UB) had significant positive impacts on behavioral intention (BI), and were consistent with El-Masri et al [16], Chong and Ngai [31], Ferreira Barbosa et al [32], Venkatesh et al [18], and Chang, Liu, Huang, and Hsieh [33]
Our findings reported that PET, FC, HM, PV, and UB had significant positive impacts on BI, and were consistent with El-Masri et al [16], Chong and Ngai [31], EE and social influence (SI) were reported to have no significant impact on BI
Summary
With the prevalence of smartphones and 5G, social networking is part of many people’s everyday life. Today [1], the term “social network” refers both to a person’s connections to other people in the real world and to a platform that supports online communication, such as Instagram, Facebook, or Twitter. The term is used more often in the second sense, and the Internet provides an opportunity for anyone to create an online identity, connect with friends, family, and strangers alike, acquire knowledge, and share ideas and information without having to be physically present. Social networking sites provide platforms for people to create personal profiles and communicates with each other.
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