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.

This was a daily diary study using intensive longitudinal methods to evaluate the dynamic structure of relationships among employees’ self-reported health, psychological capital, daily workplace incivility, and daily emotional exhaustion. We recruited 200 participants working in health and fitness clubs for experience sampling and had them file the same questionnaires for 10 consecutive working days. A total of 179 participants (men = 57, 31.85%; women = 122, 68.15%) completed the questionnaires, with a response rate of 89.5%, leading to 1790 data points at the within-person level. We used a multilevel location-scale model of dynamic structural equation modeling (DSEM) for data analysis. We ran the model in Mplus software (version 8.4) and found an autoregressive ‘carry over’ relationship between the previous day’s emotional exhaustion changes on current emotional exhaustion changes ([Formula: see text] = 0.067, CI = [0.003, 0.132]). Daily workplace incivility significantly and positively predicted daily emotional exhaustion at the within-person level ([Formula: see text] = 0.953, CI = [0.465, 1.489]). Self-reported health was negatively associated with a person’s mean ratings of daily emotional exhaustion ([Formula: see text] = −0.256, CI = [0.465, 1.489]) and moderated the strength of the workplace incivility effect on emotional exhaustion ([Formula: see text] = −0.201, CI = [−0.292, −0.121]). Finally, psychological capital was negatively related to a person’s mean ratings of daily emotional exhaustion ([Formula: see text] = −0.240, CI = [−0.377, −0.102]).