Utilizing Technology in Social Work Education: Development of the Technology Effectiveness and Social Connectedness Scale

Jewell, Jennifer R.; Anthony, Becky; Murphy, April L.

doi:10.1080/10437797.2019.1671254

Cited by 5 publications

(1 citation statement)

References 11 publications

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“…Second, it is also one of the initial attempts that focus on subjective wellbeing of MAWF users. In the view of the importance of the proposed relationships and their interpretative significance, the findings demonstrate the assertions of the TRAM model to delve into the unexplored territory of subjective wellbeing, a practical outcome that denotes the efficacy of MAWF usage, which may reflect instant acceptance by users (Jewell et al, 2019). The findings offer a new opportunity for MAWF research as it concerns the predicting and meditating roles of perceived usability and usefulness concerning subjective wellbeing among MAWF users.…”

Section: Research Implicationsmentioning

confidence: 58%

Mobile apps use for wellness and fitness and university students’ subjective wellbeing

Aboelmaged

Ali

Hashem

2021

Information Development

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Subjective wellbeing among mobile application users attracted researchers’ interest in recent years due to its prevalent role in enhancing everyday life, particularly during the recent coronavirus pandemic (COVID-19). While previous work has primarily focused on users’ intention to adopt mobile apps for wellness and fitness (MAWF) purposes, scarce attention has been paid to the post-adoption impact of these apps on users’ subjective wellbeing. This study empirically integrates ‘technology readiness’ and ‘technology acceptance’ models (TRAM) to predict subjective wellbeing among MAWF users. It also critically assesses the strength of the mediating effects on the link between technology readiness and subjective wellbeing. Data analysis of 694 actual users of MAWF by means of SEM-PLS approach proves the robust power of the TRAM model in predicting subjective wellbeing. In addition to their mediating effects, technology acceptance constructs tend to be more influenced by positive dimensions (i.e., optimism and innovativeness) than that of negative dimensions (i.e., insecurity and discomfort) of technology readiness. This study is one of the first attempts to predict subjective wellbeing among actual users of MAWF. The study also delineates a broad spectrum of implications that enrich existing research and better inform decision makers in mobile health field.

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Section: Research Implicationsmentioning

confidence: 58%