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The purpose of this paper is to investigate the effects of dedication- and constraint-based mechanisms on users’ post-adoption behavior in the social networking site (SNS) context.

The proposed framework uses user satisfaction and trust belief to capture the dedication-based mechanism and perceived switching costs and social norms to capture the constraint-based mechanism. Hypotheses were tested by applying partial least squares to data from 250 experienced Facebook users. A structural equation modeling was used to test the validity of the proposed research models.

The analysis results show that SNS users’ continuance intention is jointly affected by two distinctive mechanisms: a dedication-based one and a constraint-based one, the former playing a more critical role. The findings indicate that both perceived relative benefits and perceived enjoyment significantly influence user satisfaction. Learning and network size were found to be the key predictors of perceived switching costs.

This study applies the dedication- and constraint-based models by incorporating numerous sets of antecedents. The framework provides a theoretical lens of how two distinctive mechanisms influence SNS users’ post-adoption behaviors.

The analysis results provide several insights that can aid SNS providers understand SNS users post-adoption behaviors. Moreover, the findings will help SNS providers effectively facilitate dedication- and constraint-based mechanisms by enhancing the key antecedents of two distinctive mechanisms.

SNSs have become an important component of individuals lives. However, few systematic works investigate the fundamental mechanisms leading to SNS users’ continued usage. In an attempt to extend the horizons of SNS research, this study incorporates a set of antecedents to dedication- and constraint-based models.

In the Web 2.0 era, users massively communicate through social networking services (SNS), often under false expectations that their communications and personal data are private. This paper aims to analyze privacy requirements of personal communications over a public medium.

This paper systematically analyzes SNS services as communication models and considers privacy as an attribute of users’ communication. A privacy threat analysis for each communication model is performed, based on misuse scenarios, to elicit privacy requirements per communication type.

This paper identifies all communication attributes and privacy threats and provides a comprehensive list of privacy requirements concerning all stakeholders: platform providers, users and third parties.

Elicitation of privacy requirements focuses on the protection of both the communication’s message and metadata and takes into account the public–private character of the medium (SNS platform). The paper proposes a model of SNS functionality as communication patterns, along with a method to analyze privacy threats. Moreover, a comprehensive set of privacy requirements for SNS designers, third parties and users involved in SNS is identified, including voluntary sharing of personal data, the role of the SNS platforms and the various types of communications instantiating in SNS.

The purpose of this study is to seek to quantify how unique service resources and consumer habit affect e-service loyalty (e-loyalty) in a highly competitive market. This study is grounded on Chinese social networking service (SNS) industry. A resource-based view is introduced as an alternative perspective to understand building consumer loyalty in e-service contexts.

A research framework is developed by reviewing prior literature. An online survey is conducted to collect research data. Based on 221 valid responses, the research model is tested by using partial least squares path modeling technique.

The features of market environments affects the loyalty of consumers to e-service providers. Consumers become mercenary in highly competitive and low differentiation e-service markets like Chinese SNS industry. The interaction of satisfaction and switching cost affects loyalty. Satisfied consumers can be either loyal or not loyal to a service provider depending on their level of switching cost, but unsatisfied consumers will have no loyalty. In addition, users are loyal to a SNS partly because it is their habit to use the service. Our study suggests that relying on consumer satisfaction to build e-loyalty may be problematic and risky.

The study represents an attempt to introduce the resource-based view to e-loyalty research. The research highlights the importance of habit in building consumers’ e-service satisfaction and loyalty and contributes to new insights on the importance of industry environment in determining e-service satisfaction–loyalty relationship based on studying consumers in a highly competitive market.

Digital natives have become significant users of social network sites (SNSs); therefore, their disclosed personal information can be misused by SNS providers and/or other users. The purpose of this paper is to understand how digital natives make their self-disclosure decisions on SNSs, as well as whether the concept of culture can still be relevant to digital natives.

The hypotheses were tested with survey data collected from the USA and China.

The results show that trust in SNSs and trust in SNS users are positively related to social rewards. Social rewards are positively related to intention to self-disclose, while privacy risk is positively related to privacy concerns. Further, culture significantly moderates the relationship between trust and social rewards.

The study clarifies the effects of different types of trust on privacy in the context of SNSs. Further, the study shows the effects of culture when digital natives make self-disclosure decisions.

SNS providers also need to focus on different types of trust when operating in different cultural contexts. Further, SNS providers expanding their markets should emphasize social rewards to increase the likelihood of self-disclosure.

The results show that while culture can still be helpful to explain digital natives’ trust beliefs, digital natives have started to converge regarding their perceptions about privacy concerns and self-disclosure.

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 there are a number of studies on the factors affecting the continuance usage intention for social network services (SNS), the studies on the integrated model encompassing SNS qualities (information, system, and service quality, and hedonic value, which are gratifications for SNS usage), flow, relationship quality (which are trust and satisfaction), and continuance intention are almost non-existent. Based on Bagozzi’s self-regulation framework, the IS success model, uses and gratification theory, and flow theory, the purpose of this paper is to examine the qualities and hedonic value of SNS, which have an influence on flow experience and relationship quality which are posited to affect the continuance usage intention.

This study used an e-mail survey method to collect 460 questionnaires for the final sample. The sample of the study includes college students or job workers who have experience in using SNS. Various user categories in terms of gender, school degree, occupation, usage years, and daily time of usage were included.

The study results show that system, service quality, and hedonic value have an impact on flow experience, information and service quality, and hedonic value influence the relationship quality of SNS. The flow experience and relationship quality while using SNS affect the continuance usage intention of SNS. This results show that the consideration of various SNS qualities, hedonic value, flow experience, and relationship quality is necessary to actively explore the factors for continuance usage intention for SNS.

IS managers trying to understand reuse intent can use surveys on information, system, and service quality, and hedonic value. Practitioners should constantly incorporate and develop various activities or useful applications to allow people to reach out to each other, to reinforce users’ attention, interaction, and increase social connections, trust, satisfaction, and further intensify users’ intention to use, increasing SNS value. The findings explain a mechanism through which SNS users’ continuance intention is built. Understanding this mechanism provides valuable information for practitioners to understand the qualities driving SNS users’ intention to revisit SNS.

This study sheds light on the existing literature on website usage that focuses on the design qualities as this paper has combined website quality perspective, i.e., information, system, and service quality, and hedonic value, and the flow and relationship perspective to investigate how these constructs would affect users’ intention to continuously use SNS. On the basis of four theories, Bagozzi’s self-regulation framework, IS success model, users and gratification theory, and flow theory, this study extended the previous studies on SNS by adding information, system, and service quality, hedonic value, flow and relationship quality as second-order constructs affecting continuance intention.

As social network sites (SNS) have increasingly become one of the most important channels for communication, the related privacy issues gain more and more attention in both industry and academic research fields. This study aims to connect the antecedents of information privacy disclosure on SNS.

Based on exchange theory, this study tries to investigate the decision-making process for information privacy disclosure on SNS. Factors from both user’s and website’s perspectives are taken into account in the proposed model.

The results suggest that an individual’s perceived benefits will increase their willingness to disclose information privacy on SNS, but perceived risks decrease this kind of willingness. The authors also find social network size, personal innovativeness and incentive provision positively affect people’s perceived benefits.

Moreover, privacy invasion experience enhances perceived personal risks, but website reputation helps to reduce perceived risks.

The purpose of this paper is to develop a research framework by drawing on the network externalities research and previous literature on information systems to understand the antecedents of information disclosure. The framework postulates that the following network externalities are important factors affecting social network sites (SNS) perceived usefulness (PU): perceived external prestige, referent network size and perceived complementarity. In addition, the paper proposes that PU, habit and subjective norms significantly affect information disclosure of SNS among Chinese users.

Data are collected from 251 Chinese university students who use SNS. Structural equation modeling was applied to test the hypotheses presented in the model.

The findings provide support for all the hypotheses, with the exception of the influence of referent network size on PU and the influence of subjective norms on information disclosure. Both perceived external prestige and perceived complementarity have reported positive effect on PU of SNS. In turn, the authors have found that PU and habit have positive effects on information disclosure.

SNS encourage users to reveal personal information by allowing them to post photos and videos and share their interests and feelings on the site. Yet, limited empirical research has investigated the concept of self-disclosure of personal information particularly among Chinese users of SNS. To fill this research gap, the authors have developed a research framework by drawing on the network externalities research and previous literature on information systems to understand the antecedents of information disclosure.

Social networking sites (SNS) follow the same diffusion pattern and are subject to the same phenomena as other technologies (e.g. QWERTY keyboard, Microsoft Office and VHS) that were subject to increasing returns. Since they may lock-in users, increasing returns significantly alter the way a technology is used and should be managed. The purpose of this paper is thus to verify if SNS are subject to increasing returns and, if so, to better understand their impacts in this context.

A research model that combines path dependency theory (PDT) tenets with the push-pull-mooring (PPM) model of information technology (IT) switching was developed and tested with data collected from 416 SNS users via a field survey. Participants were voluntary students at a North American university enrolled in a compulsory undergraduate course in business administration. Partial least square analysis structural equation modeling (PLS-SEM) was used to validate our research model and test our hypotheses.

Results show that SNS are subject to three forms of increasing returns: those stemming from device complementarity, learning and adaptive expectations. In addition, the findings show that increasing returns stemming from SNS use have the potential to lock-in SNS users by increasing their switching costs.

SNS users should be careful when using an SNS since such use can create a path that is self-reinforced and that can lock them due to the increasing returns it yields. SNS vendors/providers need to learn how to manage increasing returns if they want to foster continued use of their SNS and/or poach users from their competitors. Lastly, SNS regulators should revise or put in place new governance mechanisms since increasing returns, when properly leveraged, may undermine fair competition by allowing companies to lock-in users and lock-out competitors.

This study contributes to IS research by: (1) empirically demonstrating that increasing returns are present in the context of SNS use, (2) identifying increasing returns as key antecedents of user switching costs, (3) validating a theoretical framework that allows for the appraisal of PDT tenets in a variance model and (4) instantiating PDT tenets at the individual level.

Social networking sites (SNSs) have significantly influenced people's lives and changed their behavior. Although previous research has explored self-disclosure in virtual communities, little is known about the impact of other users, particularly their online social support, on self-disclosure. The aim of this study is to explore how online social support dimensions (i.e., emotional, informational, esteem, instrumental and network support) influence people's self-disclosure, which in turn affects their commitment to SNSs.

Based on social exchange theory, this study proposes a research model that explores the role of other users on self-disclosure. This study collects data from a sample of 558 respondents and applies the structural equation modeling technique to test the research model.

The findings show that users are motivated to disclose information and commit to a specific SNS because of the supportive climate. Results also show that self-disclosure mediates the effect of online social support on users' commitment to SNSs.

This study focuses on the influence of other users' roles on self-disclosure on SNSs, extending the application of social exchange theory.