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Brand microblogs have been adopted as a new approach to promote products or services and maintain relationships with consumers for companies, but literature on why consumers are willing to participate on these microblogs is still relatively limited. The purpose of this study is to examine factors affecting consumers’ participation on brand microblogs and then indicate the underlying mechanism of this process based on elaboration likelihood model (ELM), commitment–trust theory and social presence.

An online survey was conducted in China to investigate consumers who followed brand microblogs. A total of 380 valid responses were collected, and the data were analyzed by the partial least squares structural equation modeling to assess the proposed research model.

The findings show that argument quality and source credibility of a brand microblog are two important factors that enhance consumers’ community commitment and trust toward the microblog, which, in turn, promote their participation intention. In addition, social presence has a moderating effect on the relationship between trust toward brand microblog and participation.

This study extends the understanding regarding consumers’ information adoption processes in brand microblogs from both central and peripheral routes based on ELM. Besides, the role of trust in affecting consumers’ participation and community commitment in the context of brand microblog has been examined from a more detailed perspective. Finally, this paper better reveal the role of social presence in brand communities by focusing on its moderating effect on the relationship between commitment–trust and consumers’ participation. These findings can provide entrepreneurs with insights into strengthening consumers’ participation and operating their brand microblogs in the long-term.

Live streaming commerce becomes increasingly popular, and some special shopping behaviors existing in traditional e-commerce also emerge in this new context. The current research mainly focuses on determinants of compulsive buying in live streaming commerce by taking fear of missing out (FOMO) and social influence into account.

Using the data collected from 242 experienced consumers in live streaming commerce, the proposed model was empirically assessed by partial least squares based structural equation model.

The results show that both informational and normative social influences have positive effects on FOMO, which in turn exert an influence on compulsive buying. In addition, informational social influence also directly and positively affects compulsive buying.

This study provides a deeper understanding of FOMO and social influence in the process of compulsive buying. It offers a new avenue to analyze the mechanism regarding why compulsive buying occurs in live streaming commerce.

The purpose of this paper is to explore whether negative network externalities would contribute to social networking site (SNS) fatigue and how this mechanism works.

A research model was proposed integrating two dimensions of negative network externalities and three dimensions of mediators (impression management concern, privacy concern, and social overload) to indicate how negative network externalities affect users’ SNS fatigue. Online questionnaires were adopted to collect data, and 307 valid samples were analyzed by structural equation modeling approach.

The findings indicate that negative network externalities have significant indirect effects on SNS fatigue through impression management concern, privacy concern, and social overload, and among the three dimensions, privacy concern plays a more important role.

This study offers a solidly grounded and well-demonstrated conceptual model that not only indicates the effects of negative network externalities in the context of SNS but also facilitates the understanding of SNS fatigue. Some theoretical and practical implications are also provided.

This study is novel in exploring users’ SNS fatigue a perspective of negative network externalities. Besides, the mediating roles of impression management concern, privacy concern, and social overload have been employed to indicate the formation of SNS fatigue.

The purpose of this paper is to explore the roles of flow experience and e-trust in online consumers’ stickiness intentions from a perspective of information quality and discuss how to retain these consumers.

The authors proposed a research model by integrating three dimensions of information quality, flow experience and e-trust. These factors were analyzed to explore the direct and indirect effects on consumers’ stickiness intention. Online questionnaires were adopted to collect data and 259 valid samples were analyzed by structural equation modeling approach.

The findings show that information quality provided by B2C online shopping malls can indirectly affect consumers’ stickiness intention through the mediation effects of flow experience and e-trust. Besides, flow experience can also significantly affect e-trust and then indirectly influence stickiness intention.

The findings suggest that information quality can trigger the effects of flow experience and e-trust to keep stickiness of online consumers. Besides, in the context of online shopping, flow experience would promote consumers’ trust toward e-retailers. Some other theoretical and practical implications are also provided.

This study indicates the effects of flow experience and e-trust on stickiness intention from an information quality perspective. Meanwhile, the authors also intend to discuss the relationship between consumers’ flow experience and e-trust in the context of B2C online shopping.

Despite fitness applications (apps) are increasingly downloaded by smartphone users in recent years, the usage behavior after initial adoption often lasts for a short period of time for most users. The purpose of this paper is to explore factors affecting stickiness of fitness app and then indicate how to retain existing users.

A research model was developed based on stimulus–organism–response (S-O-R) model. Using the data collected from 231 fitness app users through an online survey, the established model was empirically assessed by structural equation modeling (SEM).

The results show that human-to-information interaction and human-to-human interaction as environmental stimuli affect individuals' internal state, including social comparison and perception of fitness self-management, which consequently influence the stickiness of fitness apps.

The study provides new insights into the mechanism regarding why users are willing to continuously use fitness apps. Moreover, the understanding of social comparison among users in such process was also deepened.

The purpose of this paper is to explore how social network fatigue affects continuance intention of social networking services (SNSs) from a more comprehensive perspective.

A research model was proposed by integrating uses and gratification theory (UGT), social network fatigue and continuance intention. The relationships between the three dimensions of UGT and continuance intention were examined, as well as the direct and moderating effects of social network fatigue. To collect data, an online survey was adopted, and 227 valid responses were analyzed by structural equation modeling.

The empirical findings demonstrate that utilitarian gratification (information seeking), social gratification (social interaction) and hedonic gratification (perceived enjoyment) are positively associated with SNS users’ continuance intention. Meanwhile, social network fatigue can directly and negatively affect continuance intention. Furthermore, the relationships between the two dimensions of UGT (information seeking, perceived enjoyment) and continuance intention are also negatively moderated by social network fatigue.

This study contributes to the understanding about the relationship between continuance intention and social network fatigue. The authors indicate that social network fatigue will not only directly weaken SNS users’ continuance intention, but also negatively influence the formation process of the continuance intention. Some other theoretical and practical implications are also provided.

Online reviews derived from peer communications have been increasingly viewed as an important approach for consumers to gather pre-purchase information. This study aims to examine factors affecting online reviews adoption in social network communities and then indicates the underlying mechanism of this process based on an extended information adoption model (IAM).

Using the data collected from 242 users of a social network community via an online survey, the proposed model is empirically assessed by partial least squares-based structural equation model (PLS-SEM).

The results show that both perceived diagnosticity and perceived serendipity are drivers of online reviews adoption in social network communities. Meanwhile, community identification is not only an antecedent of diagnosticity and serendipity perceived by community members, but also motivates source credibility which, in turn, positively influences argument quality. Finally, the importance of argument quality and source credibility in reviews adoption process is also presented.

This study extends the IAM and enriches the literature regarding online reviews adoption. It deepens the understanding of serendipitous experiences and community identification in social networking context by addressing their important roles in the authors' extended IAM.

Food delivery apps (FDA) have been widely adopted by customers in online-to-offline (O2O) catering businesses. This study aims to explore the mechanism regarding the stickiness of FDA and indicates why customers have the intention to reuse them.

A research model was developed based on the e-commerce system successful model (ECSS model) and social influence theory. Using the data collected from 312 customers who have FDA usage experience via an online survey, the established model was empirically assessed by partial least squares based structural equation model.

The results show that factors including information quality, ease of use, convenience and various choices perceived by FDA users are significant antecedents of customer satisfaction and perceived value, which in turn positively influence customers' intention to reuse. Besides, informational social influence and normative social influence play important roles in directly or indirectly affecting customers' intention to reuse.

This study extends the e-commerce system success model and enriches the literature regarding stickiness of FDA. Besides, the understanding of social influence in FDA usage has been deepened by addressing its role in the ECSS model based on the features and contexts of such apps.

The purpose of this paper is to explore the determinants of continuance intention of social networking site (SNS) users through a new perspective and discuss how to retain SNS users.

The author proposed a research model by integrating network externalities and social support. Three dimensions of social support and two types of network externalities were analyzed, respectively, to explore the direct and indirect effects on continuance intention. Online questionnaires were adopted to collect data, and 513 valid samples were analyzed by structural equation modeling approach.

The findings show that network externalities have a significant indirect effect on user’ continuance intention through the mediation effects of social support, and among the three dimensions of social support, network management plays a more important role on continuance intention.

The findings suggest that network externalities can trigger the function of social support to keep the “stickiness” of SNS users, and network management is the key dimension of online social support. Some other theoretical and practical implications are also provided.

The study is novel in exploring users’ continuance intention of SNSs by integrating social support and network externalities. Meanwhile, the author also intends to compare the effect of different dimensions of social support on SNS usage and discuss their internal relationships.

Although many studies show that self-efficacy and continuance intention of Web 2.0 platforms are positively and significant correlated, others reveal some different findings. To clarify this line of research, this study further investigates the effect of self-efficacy on continuance intention and meanwhile examines some moderating variables in this process.

A meta-analysis method was employed to examine the literature containing quantitative measurements of both self-efficacy and continuance intention of Web 2.0 platforms. A total of 31 effects sizes (N = 9,084) were reviewed.

The results indicate medium-sized positive correlation between self-efficacy and continuance intention of Web 2.0 platforms. Further moderation analysis shows that such medium-sized link differed across measures of Web 2.0 platform types, target respondent differences and gender of participants. Specifically, this correlation is largest for transaction-socialization platforms and smallest for experience-socialization platforms. For university-student respondents, the role of self-efficacy in affecting continuance intention is less important than general members of Web 2.0 platforms. Finally, as the percentage of female participants increases, a weaker effect size will be observed.

This study clarifies empirical research regarding users' self-efficacy and their continuance intention. Meanwhile, sources of inter-study variability have been identified by addressing moderator variables in the relationship between self-efficacy and continuance intention of Web 2.0 platforms, which provides directions for future explorations in this area.