Purpose: A wealth of studies have identified numerous antecedents to online self-disclosure. However, the number of competing theoretical perspectives and inconsistent findings have hampered efforts to obtain a clear understanding of what truly influences online self-disclosure. To address this gap, this study draws on the antecedent-privacy concern-outcome (APCO) framework in a one-stage meta-analytical structural equation modeling (one-stage MASEM) study to test a nomological online self-disclosure model that assesses the factors affecting online self-disclosure. Design/methodology/approach: Using the one-stage MASEM technique, this study conducts a meta-analysis of online self-disclosure literature that comprises 130 independent samples extracted from 110 articles reported by 53,024 individuals. Findings: The results reveal that trust, privacy concern, privacy risk and privacy benefit are the important antecedents of online self-disclosure. Privacy concern can be influenced by general privacy concern, privacy experience and privacy control. Furthermore, moderator analysis indicates that technology type has moderating effects on the links between online self-disclosure and some of its drivers. Originality/value: First, with the guidance of the APCO framework, this study provides a comprehensive framework that connects the most relevant antecedents underlying online self-disclosure using one-stage MASEM. Second, this study identifies the contextual factors that influence the effectiveness of the antecedents of online self-disclosure.

Mobile payment platforms not only streamline users’ financial transactions but also encourage their participation in investment activities and additional services. To deliver personalized financial services, it is essential to collect users’ personal information. This study aims to investigate the factors influencing users’ willingness to engage in self-disclosure within mobile payment platforms, thereby assisting practitioners in efficiently allocating resources and maximizing returns on investments dedicated to promoting user self-disclosure. Consequently, this study focuses on examining how institutional mechanisms influence users’ self-disclosure behavior within these platforms. The authors developed a comprehensive framework that elucidates the influence of institutional mechanisms on users’ self-disclosure, mediated by trust and privacy concerns. To empirically validate our research model, we administered an online survey targeting Alipay users in China. Subsequently, we analyzed 559 valid survey responses utilizing partial least squares structural equation modeling (PLS-SEM). The results indicate that trust and privacy concerns jointly influence users’ self-disclosure behavior when utilizing mobile payment platforms. Moreover, key institutional mechanisms can effectively foster trust and alleviate privacy concerns, ultimately facilitating users’ willingness to self-disclose. Our research shifts scholarly focus from conventional adoption to users’ self-disclosure in the mobile payment field and enhances the existing self-disclosure research by identifying the impact of institutional mechanisms on users’ self-disclosure behavior.

Evidence from practice and academic literature indicates that, compared with traditional e-commerce, consumers in social commerce are more prone to impulsive purchasing. This heightened tendency can be attributed to the robust interaction among users in social commerce. Peer intrinsic and extrinsic motivations represent two distinct mechanisms that stimulate impulsive purchasing under the influence of others. Given the diversity in types and strengths of social capital and their varying impacts on peer motivation, this study endeavors to broaden the understanding of impulsive buying in social commerce. It examines how peer intrinsic and extrinsic motivations influence purchasing behavior and explores how these motivations interact with three dimensions of social capital. Within a specific type of social capital context, the objective of this study is to uncover which type of peer motivation predominantly drives impulsive purchasing. To empirically test the research model, an online survey was conducted targeting social commerce users in China. The findings offer empirical support for retailers in implementing appropriate social media initiatives and managing consumer relationships in social commerce. By integrating peer motivation and group-level social capital into the social commerce framework, this research offers novel insights into retailers’ social media strategies and contributes to existing literature.