The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China

The long-term development of social networking sites (SNSs) relies on their users’ continuance of use. This paper tested the role of perceived social capital and flow experience in driving users to continue using SNSs based on the expectation–confirmation model of information systems continuance. Using data from online surveys of social networking sites users in China, the proposed model was tested by using the Partial Least Squares (PLSs) technique. The results show that perceived bridging and bonding social capital have different role in building users’ satisfaction and continuance intention: perceived bridging social capital has remarkable influence on users’ satisfaction and continuance intention, but perceived bonding social capital has none. Flow experience has influence on users’ satisfaction but none on continuance intention. In addition, gender has impact on users’ continuance intention.     

User adoption of social networking sites: Eliciting uses and gratifications through a means–end approach

This research examines users’ motives for adopting and using social networking sites (SNSs), with the aim of providing a better understanding of the fundamental reasons behind SNS adoption behavior. To uncover the relationship between the attributes of SNSs and users’ perceptions of their consequences and values, this study integrates a means–end approach with uses and gratifications theory and thereby extends the technique to a communication media selection context. Laddering interviews identify users’ perceptions of five attributes, 10 consequences, and four values associated with SNS adoption (i.e., Facebook). The results show that belonging, hedonism, self-esteem, and reciprocity are the four main values users attain through SNS adoption. Furthermore, the chains associated with SNS adoption can be represented in a hierarchical value map. This study should help practitioners design online communication platforms that more closely fit their users’ needs and provide users with safer, more friendly, and thus more attractive environments.     

Factors influencing continuance intention to use social network sites: The Facebook case

Social networking sites (SNS) have become one of the most popular means of online social interaction. However, few studies have examined SNS from the context of post-adoption. This study focuses on continuance usage intention toward Facebook, a popular SNS, among university students in the United Arab Emirates. We have extended the expectation–confirmation model by investigating the influence of enjoyment and subjective norms as critical factors that directly influence continuance usage intention, and added habit as a mediator between satisfaction and continuance intention. We used structural equation modeling to validate the proposed model and hypotheses. We find that perceived usefulness, satisfaction, habit, enjoyment, and subjective norms explain 54.8% of the variance in continuance intention. Furthermore, our study shows that the effect of satisfaction on continuance intention is both direct and mediated by habit. Thus, practitioners should focus on all of these factors to encourage continuance usage intention in their site’s users.     

Why do users continue using social networking sites? An exploratory study of members in the United States and Taiwan

In this paper, we draw on an extended Uses and Gratifications Theory (UGT) to explore factors that affect members’ continued use intention toward Social Networking Sites (SNSs). We also theorize about the intricate relationships among a variety of UGT constructs. Further, we conduct this research in a global context by comparing SNS use in the United States and Taiwan. Empirical survey data are collected to validate the research model, and several intriguing findings are observed. Our research results indicate that four determinants, i.e., gratifications, perceived critical mass, subjective norms, and privacy concerns, influence SNS users’ continuance intention and that regional differences moderate the effects of both gratifications and privacy concerns on continuance intention. Our study makes noticeable contributions to the literature on UGT and SNSs. The findings reported also inform service providers in developing better strategies for member retention.     

Understanding factors affecting perceived sociability of social software

Sociability is considered to be important to the success of social software. The goal of the current study is to identify factors that affect the users’ perception of the sociability of social software and to examine the impact of sociability on the users’ attitude and behavior intentions. In a pilot study, 35 web users were interviewed to gain understanding of how they use social software to supplement their social life and to explore the possible factors that influence the users’ utilization of social software. In the first study, a questionnaire was developed, and 163 valid responses were collected. From the factor analysis results, seven important factors for social software design emerged, which accounts for 63.3% of the total variance. In the second study, 246 participants were asked to evaluate one of ten popular social applications with respect to the seven factors, their perceived sociability, and their attitudes and intention regarding the use of the applications. Results show that sociability is influenced by social climate, benefits and purposes, people, interaction richness, self-presentation, and support for formal interaction. System competency is not a sociability factor, but it significantly influences the user’s experience. Sociability and system competency, when combined, can predict 43% of users’ attitude towards social software and 51% of their intentions to use social software.     

How to unite the power of the masses? Exploring collective stickiness intention in social network sites from the perspective of knowledge sharing

This study aims to investigate users’ knowledge-sharing intention and collective stickiness intention towards social network sites (SNS). SNS offer an opportunity for users to interact and form relationships, while knowledge is accrued by integrating users’ information, experience, and practice. However, there have been few systematic studies that question why people use SNS to share knowledge. We adopt social capital theory, social identity theory, as well as use and gratification theory, to explore the determinants of members’ knowledge-sharing intention in using SNS. The survey was conducted on two education virtual communities (VCs) on Facebook, of which most members were teachers and educators. Data analysis was executed to validate our research model, and SmartPLS was used to analyse users’ collective stickiness intention. The results show that social capital and social identity have an impact on teachers’ knowledge-sharing intention, which, in turn, influences collective stickiness intention towards SNS. Our findings can not only help researchers interpret why members share their knowledge in VCs, but can assist practitioners in developing better SNS strategies as well.     

Why people use social networking sites: An empirical study integrating network externalities and motivation theory

Fast-developing social networking sites (SNS) have become the major media by which people develop their personal network online in recent years. To explore factors affecting user’s joining SNS, this study applies network externalities and motivation theory to explain why people continue to join SNS. This study used an online questionnaire to conduct empirical research, and collected and analyzed data of 402 samples by structural equation modeling (SEM) approach. The findings show that enjoyment is the most influential factor in people’s continued use of SNS, followed by number of peers, and usefulness. The number of peers and perceived complementarity have stronger influence than the number of members on perceived benefits (usefulness and enjoyment). This work also ran clustering analysis by gender, which found notable difference in both number of peers and number of members between men and women. The number of peers is an important factor affecting the continued intention to use for women but not for men; the number of members has no significant effect on enjoyment for men. The findings suggest that gender difference also produces different influences. The implication of research and discussions provides reference for SNS operators in marketing and operation.     

Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM

This paper reported the results of a survey study and provided evidences of empirically testing a model that integrates both technology acceptance model (TAM) and task-technology fit (TTF) model in understanding the determinants of users’ intention to use wireless technology in organizations. Questionnaires were distributed to organizations that bring mobile commerce into practice through the wireless handheld devices. The results indicated that both technology acceptance model and task-technology fit model are robust models by themselves. First, both perceived usefulness and ease of use significantly influence users’ behavior intention to utilize wireless technology. Perceived ease of use has significant effect on perceived usefulness. Second, characteristics of technology and task significantly predict the fit between these two constructs. Significant effect of characteristics of technology on perceived ease of use and usefulness were observed. Finally, significant relationships between TAM and TTF model were also observed. Task-technology fit is a significant direct predictor of technology adoption intention. Overall, users’ intention to adopt wireless technology in organizations was determined directly by fit between characteristics of task and technology as well as users’ perceived ease of use and usefulness.     

Perceived values and prospective users’ acceptance of prospective technology: The case of a career eportfolio system

Technology-acceptance tests are traditionally conducted after users have obtained at least a certain amount of experience with a technology. Taking college students who had no real interaction with a prospective eportfolio system, this study investigated both their perceptions of the system and the perceptions’ association with attitude towards and intention of using the system. A pre-implementation value-assessment model was proposed, and the results indicate that for prospective users, attitudes appear to have the strongest significant direct effect on usage intentions. Perceived functional value serves as the preliminary conditions that mediate the effect of the perceived epistemic value on attitude. Perceived contextual value influences users’ attitude and intention via the mediation of perceived epistemic value and perceived functional value. This model provides a systemic understanding of prospective users’ perceptions of the system, and such an understanding can help change agents to examine their assumptions about prospective users’ perceptions concerning the value and acceptance of a new technology.     

A study of Facebook Groups members’ knowledge sharing

There have been many studies focusing on individuals’ knowledge sharing behavior in the organizational setting. With the rapid prevalence of social networking sites, many people began to express their thoughts or share their knowledge via Facebook website. Facebook is an open environment which does not provide any immediate monetary benefits to its users. Its Groups members’ knowledge sharing behavior could be different from the ones in organizations. We proposed a research model to examine factors which promote the Facebook Groups users’ willingness to share knowledge. The factors in the study include extrinsic motivation, social and psychological forces, and social networking sharing culture. We used PLS to test our proposed hypotheses based on 271 responses collected through an online survey. Our results indicated that reputation would affect knowledge sharing attitude of Groups members and sense of self-worth would directly and indirectly (through subjective norm) affect the attitude. In addition, social networking sharing culture (fairness, identification, and openness) is the most significant factor, not only directly affecting knowledge sharing intention, but also indirectly influencing the sharing intention through subjective norm and knowledge sharing attitude.     

Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior,the technology acceptance model,and the flow theory

Instant messaging (IM) is a popular Internet application around the world. In China, the competition in the IM market is very intense and there are over 10 IM products available. We examine the intrinsic and extrinsic motivations that affect Chinese users’ acceptance of IM based on the theory of planned behavior (TPB), the technology acceptance model (TAM), and the flow theory. Results demonstrate that users’ perceived usefulness and perceived enjoyment significantly influence their attitude towards using IM, which in turn impacts their behavioral intention. Furthermore, perceived usefulness, users’ concentration, and two components of the theory of planned behavior (TPB): subjective norm and perceived behavioral control, also have significant impact on the behavioral intention. Users’ intention determines their actual usage behavior.     

Understanding the behavior changes in belief and attitude among experienced and inexperienced learning object users

Prior empirical studies in the implementation of general information technologies (IT) have revealed that IT adoption and usage were determined by user beliefs and attitudes. However, little is known about how user beliefs and attitudes form and change over time. To address these issues, this paper reports a study of 481 inexperienced and 120 experienced potential users on learning objects. Technology acceptance model’s constructs were used to conduct a longitudinal study across three phases (introduction, training and direct-use experience) to examine the formation and the changes in users’ beliefs and behavioral intention to use learning objects over time. The results showed that the rates of changes in users’ beliefs and behavioral intention toward learning objects usage were time-variant and were more predominant during the early stage (introduction to training) of learning objects usage than in the later stages (training to direct-use experience). The study confirmed that initial exposure through introduction and training was effective in improving inexperienced users’ beliefs and intentions to use learning objects. It also helped to reduce the belief and intention gaps that existed between experienced and inexperienced users. In addition, the influence of initial introduction and training on users’ beliefs and perceptions was sustained over time, thus further indicating their importance.     

Retaining and attracting users in social networking services: An empirical investigation of cyber migration

Users are the most critical strategic resource of any online social networking service (SNS). This paper offers strategic recommendations for SNS providers based on an empirical study exploring why users switch from a primary SNS to others. We first identify important characteristics that combine to distinguish SNSs from conventional information systems, then develop a “cyber migration” research model that includes push, pull and mooring factors which influence user intention to switch from one SNS to another. Findings from a field survey of 180 users reveal four significant factors that promote switching: dissatisfaction with socialization support, dissatisfaction with entertainment value, continuity cost, and peer influence. Strategies grounded in these factors are suggested for SNS providers to better attract and retain users.     

A study on factors that affect users’ behavioral intention to transfer usage from the offline to the online channel

Increasingly more service providers offer both offline and online services simultaneously, but consumers still seem to prefer using offline services rather than online ones. Our research focuses on factors that influence users’ intention to transfer their usage from the offline to the online channel that offer similar services. Drawing on the valence framework and prior research related to habit, innovativeness, and Internet experience, we propose a research model that incorporates motivators and inhibitors of usage transfer from both the offline and online channels. Using banking services in China as the research context, our study reveals that innovativeness in new technology and relative benefit have positive effects on users’ intention to transfer usage. Conversely, habits that consumers form in the offline channel have a negative effect on the intention to transfer usage. Moreover, our findings indicate that Internet experience moderates the relationship between relative benefit and consumers’ intention to transfer usage from offline to online services. These results provide a better understanding of consumers’ usage-transfer behavior and offer suggestions to providers in boosting their consumers’ use of online services.     

An empirical investigation of end-users’ switching toward cloud computing: A two factor theory perspective

With the diffusion of cloud services, they are becoming an alternative to traditional information technology (IT). Despite the importance of cloud services, relatively few studies have been devoted to an empirical examination of the switching behavior from traditional IT to cloud services at the individual level. Therefore, this study attempts to explore the switching factors (i.e. switching enablers and switching inhibitors) and to empirically examine the relationships between those and users’ intention to switch to cloud services, based on the two-factor theoretic perspective. This study uses a longitudinal design to get survey data from undergraduate students at two universities in Korea in the context of IT switching to Google Apps settings. According to our findings, this study found that users’ switching intention to cloud services was not only positively influenced by expected switching benefits whose antecedents are omnipresence of cloud services and collaboration support, but also negatively influenced by expected switching costs whose antecedents are satisfaction with incumbent IT and breath use of inclement IT. The impacts of switching benefits and costs on switching intention were also positively moderated by end users’ personal innovativeness.     

Usability, quality, value and e-learning continuance decisions

Previous research suggests that an eventual information technology (IT) success depend on both its initial adoption (acceptance) and subsequent continued usage (continuance). Expectancy disconfirmation theory (EDT) has been successfully used to predict users’ intention to continue using information technologies. This study proposed a decomposed EDT model to examine cognitive beliefs and affect that influence users’ continuance decision in the context of e-learning service. The proposed model extended EDT by decomposing the perceived performance component into usability, quality, and value. Research hypotheses derived from this model are empirically validated using the responses to a survey on e-learning usage among 183 users. The results suggest that users’ continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usability, perceived quality, perceived value, and usability disconfirmation.     

Should I stay or should I go? The moderating effect of self-image congruity and trust on social networking continued use

Recent reports show that although users of large online social networks (such as Facebook) score low in terms of satisfaction, they manage to retain, or even increase, their user base. This study sheds an exploratory light on the reuse behaviour of online social network services (SNS). Specifically, we investigate the moderating effects of self-image congruity and trust on the relationship between satisfaction and continuance to use online SNS. To capture post-adoption behaviour of SNS users, we employ the expectation–confirmation model as a core structure for our theoretical model. The model is empirically tested using survey data collected from 288 Facebook users. Results reveal a possible trend suggesting that users perceiving a high match of the SNS with their self-image will be more loyal even if they experience low satisfaction levels. The same trend has been extracted for trust and its moderating effect on the relationship between satisfaction and usage continuance intention. This paper concludes with a discussion on the theoretical and practical implications of our findings.     

Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model

Although e-learning has been prompted to various education levels, the intention to continue using such systems is still very low, and the acceptance-discontinuance anomaly phenomenon (i.e., users discontinue using e-learning after initially accepting it) is a common occurrence. This paper synthesizes the expectation–confirmation model (ECM), the technology acceptance model (TAM), the theory of planned behavior (TPB), and the flow theory to hypothesize a theoretical model to explain and predict the users’ intentions to continue using e-learning. The hypothesized model is validated empirically using a sample collected from 363 learners of a Web-based learning program designed for continuing education. The results demonstrate that satisfaction has the most significant effect on users’ continuance intention, followed by perceived usefulness, attitude, concentration, subjective norm, and perceived behavior control as significant but weaker predictors. The implications of these findings for e-learning practitioners are discussed at the end of this work.     

The role of task-technology fit as users’ motivation to continue information system use

In this study, we extend and combine the post-acceptance model (PAM), proposed by Bhattacherjee [Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation–confirmation model. MIS Quarterly, 25(3), 351–370], with aspects of Goodhue and Thomson’s theory of task-technology fit (TTF). The original PAM emphasizes cognitive beliefs and user feelings as factors that may influence a person’s intention to continue to use an information system (IS). The variables added from TTF are task-technology fit and utilization. The sample consists of data that measure use and use-related aspects of an e-learning tool among university college teachers. Using structural equation modeling, results indicate that variables from TTF as well as variables from PAM explain users’ IS continuance intention. As a result of these findings, we propose the existence of two different and autonomous paths from the independent variables to the dependent variable of IS continuance intention. These two paths are: a work system-centric path through utilization of the information system, and an IT-centric path through user satisfaction.