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The success of online health communities (OHCs) depends on maintaining long-term relationships with physicians and preventing churn. Even so, the reasons for physician churn are poorly understood. In this study, an empirical model was proposed from a social influence perspective to explore the effects of online social influence and offline social influence on physician churn, as well as the moderating effect of their online returns.

The empirical data of 4,145 physicians from a Chinese OHC, and probit regression models were employed to verify the proposed theoretical model.

The results suggest that physicians' churn intention is influenced by online and offline social influences, and the offline social influence is more powerful. Physicians' reputational and economic returns could weaken the effect of online social influence on churn intention. However, physicians' economic returns could strengthen the effect of offline social influence on churn intention.

This research study is the first attempt to explore physician churn and divides the social influence into online and offline social influences according to the source of social relationship. The findings contribute to the literature on e-Health, user churn and social influence and provide management implications for OHC managers.

Users' knowledge contribution behaviors are critical for online Q&A communities to thrive. Well-organized question threads in online Q&A communities enable users to clearly read existing answers and their evaluations before contributing. Based on the social comparison and peer influence literature, the authors examine peer influence on the informativeness of knowledge contributions in competitive settings. The authors also consider three levels of moderating factors concerning individuals' perception of competitiveness: question level, thread level and contributor level.

The authors collected data from one of the largest online Q&A communities in China. The hypotheses were validated using hierarchical linear models with cross-classified random effects. The generalized propensity score weighting method was employed for the robustness check.

The authors demonstrate the peer influence due to social comparison concerns among knowledge contribution behaviors in the same question thread. If more prior knowledge contributors choose to contribute long answers in the question thread, the subsequent contributions are more informative. This peer influence is stronger for factual questions and questions with higher popularity of answering but weaker in recommendation-type and well-answered questions and for contributors with higher social status.

This research provides a new cue of peer influence on online UGC contributions in competitive settings initiated by social comparison concerns. Additionally, the authors identify three levels of moderating factors (question level, thread level and contributor level) that are specific to online Q&A settings and are related to a contributor's perception of competitiveness, which affect the direct effect of peer influence on knowledge contributions. Rather than focus on motivation and quality evaluation, the authors concentrate on the specific content of online knowledge contributions. Peer influence here is not based on an actual acquaintance or a following relationship but on answering the same question. The authors also illustrate the competitive peer influence in subjective and personalized behaviors in online UGC communities.

The purpose of this paper is to solve the challenges in knowledge outcome (e.g. knowledge contribution, knowledge exploration) improvement at the post-adoption phase in the context of e-communities. This study develops a model by integrating dedication-constraint framework and self-presentation theory. The model proposes that knowledge outcomes at the post-adoption phase rely on relationship development between community members, conceptualized as commitment. The authors also hypothesize that members’ perceived online self-presentation quality, theorized as personal control and social influence, serves as the key means to motivate members’ commitment.

This study used survey instrument to collect data and adopted partial least squares to test the proposed hypotheses.

The results show that perceived online self-presentation quality positively affects relationship development, which in turn affects continuance intention for knowledge outcomes.

This study expands the dedication-constraint framework by integrating the self-presentation theory. This study contributes new knowledge by proposing a model that delineates the relationship between online self-presentation quality, relationship development, and knowledge outcomes at the post-adoption stage.

This study shows that members’ perceived online self-presentation quality affects both affective commitment and calculative commitment, which in turn affect knowledge outcomes, suggesting the important role of the perceived quality in stimulating a member’s post-adoption reactions.

This study contributes to the research on post-adoption behavior in an e-community context by accounting for the influence of e-community features in self-presentation quality and dedication-constraint mechanisms on post-adoption phenomena.

The study examined the role of collective self-esteem (CSE), online communities, green attitudes and the influence of celebrities on green clothing involvement and consequently its impact on green clothing purchase behavior of Indian consumers.

A mix of convenience and random sampling was used for data collection via an online survey. The sample (n = 403) comprised consumers having awareness about green clothing. Structural equation modeling (SEM) was used for analysis.

Online communities, green attitudes and influence of celebrities predicted green clothing involvement and in turn their purchase behavior. CSE had no impact on consumers' green clothing involvement.

The findings can help green apparel manufacturers and designers to use celebrities and online communities to educate and promote the benefits of green clothing. Social media can be employed to share experiences and engage consumers about green clothing.

Since online networking sites are gaining predominance in influencing behavior, the study extends the earlier research on social influence by examining its role along with celebrities and CSE on green apparel involvement and purchase. The study combines celebrities, online communities and collective identity influences (offline and online) in predicting green clothing purchase in India.

The purpose of this paper is to examine the effects of interactive and social features on users' online experiences and their purchase intention of virtual goods from a social network site.

A banner with a hyperlink that connected to the author's web survey was posted on the homepage of Facebook. Of the 258 responses returned, 176 were fully completed. Measurement items were adapted from previous literature. Structural equation modeling (SEM) was used to evaluate the research model and hypotheses testing.

The results of an empirical study supported the use of the stimuli‐organism‐response (S‐O‐R) model in a social networking site and showed how environmental features should be incorporated to enhance users' online experiences and purchase intentions. Specifically, social identity showed the strongest influence on involvement and flow. More specifically, affective involvement showed the greatest influence on purchase intention compared to flow and cognitive involvement.

The relative importance of both interactivity and social identity in platform features in shaping consumers' online experiences should not be ignored. The author suggests online games or apps. Additionally, platform providers should advance social identity features that show a strong positive impact on users' online experiences.

With the proliferation of online social gaming, there is growing evidence for virtual goods consumption; however, relatively few studies have discussed this phenomenon. This paper draws on hypotheses from environmental psychology; specifically, users' intentions to purchase are modeled on user responses to the online stimuli of a Web platform and the online experience that such an environment elicits.

The purpose of this paper is to develop a scale to measure normative and informational influence in online traveler reviews.

Through proper scale development techniques and a two-sample validation process, the resulting 2-factor, 11-item scale yields a valid and reliable measure of social influence.

The resultant scale provides a tool for researchers to investigate the process whereby different characteristics of online reviews influence travel decisions.

Customer reviews are prevalent and powerful sources of influence on travel decisions. However, it is unclear how social influence manifests in today’s online purchasing environment. For several decades, the domain of social influence has played an important role in the advancements of consumer behavior and hospitality/tourism research. In particular, normative and informational influences are applicable, since online reviews contain numerous informational and normative cues. These principles were formulated under much different conditions than today’s purchasing environment. This research provides a way to measure normative and informational influence in the online review environment, thus enhancing the understanding of how reviews influence purchase decisions.

The purpose of this article was to explore the influence of individual perception and social climate on consumer-initiated group-buying purchase decisions. An extended cross-level research model was used to explain how a new mechanism for purchasing through personal interactions could work.

This study utilised a questionnaire survey for data gathering. The subjects of the investigation were group-buying initiators. Hierarchical linear modelling (HLM) was used to experimentally examine the research hypotheses.

The empirical results of the study indicate that the social influence of critical mass can effectively promote positive attitudes and intentions towards consumer-initiated online group buying. An individuals' perception of an initiator's fairness influences their trust in the initiator. In addition, trust in the initiator can positively and significantly influence buyers' attitudes and intentions to online group buying.

Most previous studies on online group-buying focus on how social media influences group-buying behaviours. This study extends social media research by introducing an extended cross-level model to provide a comprehensive investigation into online-shopping. It is a preliminary attempt to systematically verify relationships at the individual and aggregate levels. The decision to group buying requires a relationship of trust to be formed before any transaction takes place, thereby increasing the intention to make a purchase. As a result, group buying is perceived as positive when interpersonal communication is very efficient, or when social influence is high.

Online reviews are often likely to be socially influenced by prior reviews. This study aims to examine key review and reviewer characteristics which may influence the social influence process.

Restaurant review data from Yelp.com are analyzed using an ordered logit model and text mining approach.

This study reveals that prior average review rating exerts a positive influence on subsequent review ratings for the same restaurant, but the effect is attenuated by the variance in existing review ratings. Moreover, social influence is stronger for consumers who had a moderate dining experience or invested less cognitive effort in writing online reviews. Compared to reviewers classified by Yelp as “elite,” non-elite reviewers appear more susceptible to the social influence of prior average review rating.

This study provides guidelines for mitigating the social influence of prior reviews and improving the accuracy of online product/service ratings, which will eventually enhance business and the reputation of online review platforms.

The findings from this study contribute to the electronic word-of-mouth (eWOM) literature and social influence literature in terms of the bidirectional nature of social influence on eWOM.

The purpose of this paper is to examine online community loyalty through an extension of the theory of planned behaviour by incorporating motivational drivers of enjoyment and compatibility and the moderating role of consumer traits.

Data were collected using an online survey of 382 Facebook users in Malaysia. Structural equation modelling was used to assess the hypothesised relationships.

Findings reveal that individuals’ attitude towards social network usage is associated with three factors: social influence, compatibility and enjoyment; attitude and usage behaviour are the determinants of online community loyalty. In addition, moderating effects are found in innovativeness and social network user experience.

Generalisation of the results to other contexts or populations should be made with caution given the study's focus on Facebook and its use of non-probability sampling. Future research can cross-validate or extend the theoretical model across different samples and/or virtual community settings.

This study highlights the importance of designing online brand community web sites which are not only appealing and enjoyable but also acts as an outlet for its members to build upon their experiences and showcase their innovativeness.

This research contributes to a better understanding of how personal factors can either strengthen or attenuate a member's loyalty to his or her online community. The research framework developed in this study can serve as a springboard for future research to examine other virtual community engagement such as blogging, online advertising and online public relation activities.

The purpose of this paper is to investigate the factors influencing Palestinian consumer attitudes toward artificial intelligence (AI)-powered online banking, focusing on performance expectancy, effort expectancy, social influence and facilitating conditions while considering the moderating role of trust in financial institutions.

To test the hypotheses, an empirical study with a questionnaire was carried out. The study was completed by 362 Palestinian customers who use online banking services.

The findings of this paper show that performance expectancy, effort expectancy, social influence and facilitating conditions significantly influence consumer attitudes toward AI-powered online banking. Furthermore, trust in financial institutions as a moderating variable strengthens the impact of performance expectancy, effort expectancy, social influence and facilitating conditions on consumer attitudes toward AI-powered online banking. Therefore, more studies should focus on certain fields and cultural contexts to get a more thorough grasp of the variables influencing adoption and acceptability.

The study's findings may be specific to the Palestinian context, limiting generalizability. The reliance on self-reported data and a cross-sectional design may constrain the establishment of causal relationships and the exploration of dynamic attitudes over time. In addition, external factors and technological advancements not captured in the study could influence Palestinian consumer attitudes toward AI-powered online banking.

Financial institutions can leverage the insights from this research to tailor their strategies for promoting AI-powered online banking, emphasizing factors like perceived security and ease of use. Efforts to build and maintain trust in financial institutions are crucial for fostering positive consumer attitudes toward AI technologies. Policymakers can use these findings to inform regulations and initiatives that support the responsible adoption of AI in the financial sector, ensuring a more widespread and effective implementation of these technologies.

This research delves into Palestinian consumer attitudes toward AI-powered online banking, focusing on trust in financial institutions. It aims to enrich literature by exploring this under-explored area with meticulous examination, robust methodology and insightful analysis. The study embarks on a novel journey into uncharted terrain, seeking to unearth unique insights that enrich the existing literature landscape. Its findings offer valuable insights for academia and practitioners, enhancing understanding of AI adoption in Palestine and guiding strategic decisions for financial institutions operating in the region.