Revisiting User Engagement: Concepts, Themes, and Opportunities

Given the proliferation of information technology (IT), the growing research interest across diverse disciplines in user engagement with IT is unsurprising. However, defining, designing for, and evaluating user engagement remain complex issues within the information systems community, prompting researchers to call for a systematic understanding of these areas. To bridge this gap, this review presents an analysis of the main themes of 59 empirical studies focusing on the conceptualization, operationalization, antecedents, consequences, and forms of user engagement. Based on the findings of this review, opportunities for future research that address study settings, emerging technologies, the factor structure and forms of user engagement, as well as user engagement frameworks, are presented. As technological advances continue to shape how users engage with IT, the concept of user engagement should be refined and elaborated on according to the research context

Understanding engagement in online health communities: a trust-based perspective

Online health communities (OHCs) represent a popular and valuable resource for those seeking health information, support, or advice. They have the potential to reduce dependency on traditional health information channels, increase health literacy and empower a broader range of individuals in relation to their health management decisions. Successful communities are characterized by high levels of trust in user-generated contributions, which is reflected in increased engagement and expressed through knowledge adoption and knowledge contribution. However, research shows that the majority of OHCs are composed of passive participants who do not contribute via posts, thereby threatening the sustainability of many communities and their potential for empowerment. Despite this fact, the relationship between trust and engagement, specifically the trust antecedents that influence engagement in the OHC community context has not been adequately explained in past research. In this study, we leverage social capital behavior and social exchange theory frameworks in order to provide a more granular trust-based elucidation of the factors that influence individuals’ engagement in OHCs. We collected data from 410 Brazilian participants of Facebook OHCs and tested the research model using partial least squares. The results confirm two new constructs—online community responsiveness and community support—as trust antecedents that influence engagement in OHCs, resulting in knowledge adoption and knowledge contribution responses. These findings contribute to the trust and engagement literatures and to social media research knowledge. From a practitioner perspective, the study findings can serve as an important guide for moderators and managers seeking to develop trusted and impactful OHC

Social support, social capital and online community e-loyalty: an empirical study

Online communities, as an essential manifestation of online social relationships, sociality factors (including social support factors and social relationship factors, etc.) ought to facilitate the formation of community trust and community satisfaction. However, although the existing literature has explored the underlying mechanisms of online community trust and satisfaction formation, few studies implemented research from the integrated sociality perspectives. In this thesis, we integrate social capital theory and social support theory to consider social capital and social support as important antecedent social factors in forming community trust and community satisfaction, which influence users' trust and satisfaction in online communities. Community trust and satisfaction further promote community loyalty. Specifically, this thesis scrutinizes the influence of three levels of social support factors such as information support, emotional support, and human-computer network management support and three kinds of social capital such as structure, cognition, and relationship to online community trust and satisfaction. Based on the proposed research model, 430 online community users' survey data were collected through an empirical questionnaire and the research model was tested through the partial least squares structural equation model method. The results of the thesis suggest that social support factors, including information support, emotional support, and interpersonal network interaction support, and social capital factors including structural capital, relational capital, and cognitive capital significantly affect community users' loyalty not only directly but also indirectly through enhancing community users' trust and satisfaction. Thus, users' trust and satisfaction with the community are significant mediating variables.Nas comunidades online, como uma importante manifestação das relações sociais online, os fatores de socialidade (incluindo fatores de apoio social e fatores de relacionamento social) devem facilitar a formação de confiança e satisfação da comunidade. No entanto, embora a literatura existente tenha explorado os mecanismos subjacentes à formação da confiança e da satisfação da comunidade online, poucos estudos consideraram a perspectiva social de forma integrada. Nesta tese, integramos a teoria do capital social e a teoria do suporte social para considerar o capital social e o suporte social como importantes fatores sociais antecedentes na formação da confiança e satisfação da comunidade, que influenciam a confiança e a satisfação dos utilizadores em comunidades online. A confiança e a satisfação da comunidade promovem ainda mais a lealdade da comunidade. Especificamente, esta tese estuda a influência de três níveis de fatores de suporte social - suporte de informação, suporte emocional e suporte de gestão da relação homen-computador - e três tipos de capital social - estrutura, cognição e relacionamento - na confiança e satisfação da comunidade online. Com base no modelo de pesquisa proposto, 430 observações de utilizadores de comunidades online foram recolhidos através de um questionário. O modelo de pesquisa foi testado através de métodos de equação estruturais. Os resultados da tese relevam que fatores de suporte social, incluindo suporte de informação, suporte emocional e suporte de interação de rede interpessoal, e fatores de capital social, incluindo capital estrutural, capital relacional e capital cognitivo, afetam significativamente a lealdade dos utilizadores da comunidade, não apenas diretamente mas também indiretamente, aumentando a confiança e a satisfação dos utilizadores da comunidade; a confiança e a satisfação dos usuários com a comunidade são variáveis mediadoras importantes