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The present study aimed to investigate the impact of social networks on the use of academic libraries by university students.

The method used in the present study was a survey. The statistical population included 461 university students. The data collection tool was a questionnaire. The result of the Cronbach test was equal to 0.726 indicating the acceptable reliability of the questionnaire. For data analysis, descriptive statistical methods and inferential statistical methods using SPSS 21 software were employed.

The findings showed that 243 of the participants used social networks for 4–6 h a day, 192 students never used university libraries and 229 used the university library only once in a month. Communication with friends was also reported to be one of the main goals in using social networks. The results of regression analysis also indicated that four predictor variables including information retrieval, social influence, trust and attractiveness of social networking environment were statistically able to explain the variance of reluctance to use university libraries.

The present study is one of the few studies that has examined the negative impact of social networks on visiting university libraries.

By building and examining an integral model, the principal objectives of this research are to systematically explore how indirect and direct network externalities lead to user loyalty toward WeChat through the mediating effect of perceived gratifications.

The data were collected through an online survey of 688 young people in Mainland China. To empirically assess the conceptual model, zero-order correlation analyses and structural equation modeling were carried out utilizing web-based data.

Path analysis results demonstrate that indirect network externalities and direct network externalities exert a significant impact on users' hedonic gratifications and utilitarian gratifications. Moreover, the study discovers the significant mediating influences of utilitarian gratifications on the association between indirect network externalities and user loyalty.

Theoretically, this article may extend the scope of diverse studies on the association between network externalities and perceived gratifications and offer fresh insights into how mobile social media could actually improve user loyalty through enhancing perceived values among younger generation. Practically, this research assists mobile social media practitioners in retaining users and gaining competitive advantages over rival applications.

Although the extraordinary growth of WeChat has successfully become the dominant media by which individuals develop interpersonal network and contact with others, the roles of perceived gratifications between network externalities and user loyalty toward WeChat have not yet been investigated in depth. These obtained outcomes not only enrich the existing literature regarding the relationship between network externalities and affective response, but also offer fresh insights to mobile social media designers, marketers and users.

This paper aims to analyse various aspects of an academic social network: the profile of users, the reasons for its use, its perceived benefits and the use of other social media for scholarly purposes.

The authors examined the profiles of the users of an academic social network. The users were affiliated with 12 universities. The following were recorded for each user: sex, the number of documents uploaded, the number of followers, and the number of people being followed. In addition, a survey was sent to the individuals who had an email address in their profile.

Half of the users of the social network were academics and a third were PhD students. Social sciences scholars accounted for nearly half of all users. Academics used the service to get in touch with other scholars, disseminate research results and follow other scholars. Other widely employed social media included citation indexes, document creation, edition and sharing tools and communication tools. Users complained about the lack of support for the utilisation of these tools.

The results are based on a single case study.

This study provides new insights on the impact of social media in academic contexts by analysing the user profiles and benefits of a social network service that is specifically targeted at the academic community.

The purpose of this paper is to analyze how social networking services (SNSs) affect consumers’ behaviors on the omni-channel supply chain by using a reverse research method.

Initially, a questionnaire was administered to obtain data on the relationship between the perception factors of channels and consumer behavior. Subsequently, a structural equation model was constructed, and consumer behavior were determined in the omni-channel supply chain. Finally, the importance of various factors that affected consumer behavior in the omni-channel supply chain under SNSs was determined.

Conclusions affirm that a positive effect on consumer channel behaviors occurs when buyers obtain information from social network platforms. However, regardless of online, offline, or mobile terminal, shortcomings are indicated in consumers’ lack of feedback on purchased goods and the bias of feedback.

The study explored ways to efficiently apply SNSs in building the omni-channel supply chain. Meanwhile, corresponding suggestions were provided such that companies will know about consumer needs.

Building upon studies of value theory and social psychology literature, the purpose of this paper is to empirically test a research model that incorporates antecedents of value (mobile convenience, service compatibility, security risk, and cognitive effort) and mobile value (utilitarian and hedonic value), and social influence (social norms and number of peers) to examine factors affecting user intention toward mobile social networking sites (SNSs).

The proposed model was empirically evaluated using survey data collected from 318 users on their perceptions of mobile SNSs. A structural equation modeling (SEM) was used to assess the relationships of the research model.

The results revealed that mobile convenience, service compatibility, security risk, and cognitive effort have a significant and indirect impact on the user acceptance of mobile SNSs through their respective paths on hedonic value and utility value.

Mobile SNSs practitioners should focus on enhancing users’ mobile value through perceived benefits, lower perceived costs, and simultaneously developing social influence to further boost users’ intention to use for mobile social networking services.

This study contributes to a theoretical understanding of factors that explain users’ intention to use the mobile SNSs.

The purpose of this paper is to test for the predictive power of each of the dimensions of social network in explaining financial inclusion of the poor in rural Uganda.

The study employed a cross-sectional research design and data were collected from a total of 400 poor households located in Northern, Eastern, Central and Western Uganda. The authors adopted ordinary least square hierarchical regression analysis to test for the predictive power of each of the dimensions of social network in explaining financial inclusion of the poor in rural Uganda. The effects were determined by calculating the significant change in coefficient of determination (R²) between the dimensions of social network in explaining financial inclusion. In addition, analysis of variance was also used to test for variation in perceptions of the poor about being financially included.

The findings revealed that the dimensions of ties and interaction significantly explain financial inclusion of the poor in rural Uganda. Contrary to previous studies, the results indicated that interdependence as a dimension of social network is not a significant predictor of financial inclusion of the poor in rural Uganda. Combined together, the dimensions of social network explains about 16.6 percent of the variation in financial inclusion of the poor in rural Uganda.

The study was purely cross-sectional, thus, ignoring longitudinal survey design, which could have investigated certain characteristics of the variable over time. Additionally, although a total sample amounting to 400 poor households was used in the study, the results cannot be generalized since other equally marginalized groups such as the disabled persons, refugees, and immigrants were not included in this study. Furthermore, the study used only the questionnaire to elicit responses from the respondents. The use of interview was ignored during data collection.

Policy makers, managers of financial institutions, and financial inclusion advocates should consider social network dimensions of ties and interaction as conduits for information flow and sharing among the poor including the women and youth about scarce financial resources like loans. Advocacy towards creation of societal network that brings the poor together in strong and weak ties is very important in scaling up access to and use of scarce financial services for improving economic and social well-being.

Contrary to previous studies, this particular study test the predictive power of each of the dimensions of social network in explaining financial inclusion of the poor in rural Uganda. Thus, it methodologically isolates the individual contribution of each of the dimensions of social network in explaining financial inclusion of the poor. The authors found that only ties and interaction are significant predictors of financial inclusion of the poor in rural Uganda. Therefore, the findings suggest that not all dimensions of social network are significant predictors of financial inclusion as opposed to previous empirical findings.

A key factor adversely affecting contractor social networking performance is the improper handling and information management of contractor’s services delivery on websites. Contractor social networking is particularly problematic on industrialised building system (IBS) infrastructure maintenance projects where contractor’s certified quality product and firms are not matched with maintenance specialisation services. The paper aims to discuss this issue.

This paper reports on the early stages of research which is developing a new information and communications technology (ICT)-based approach to managing contractor social networking on IBS infrastructure maintenance schemes. As a precursor to this work, the paper reviews current contractor social networking websites practices on IBS infrastructure maintenance projects and explores the ICT tools and techniques currently being employed on such projects.

The findings reveal the need for more sophisticated contractor social networking websites solutions which accord with the needs of IBS infrastructure maintenance schemes.

The paper concludes by presenting a research framework for developing such a system in the future.

The aim of this paper is to analyse the determinants of social networking site loyalty, paying special attention to the roles of user attitude, perceived risk and satisfaction.

The impact of uses and gratifications of social networking sites, attitude, perceived risks and satisfaction on social networking site loyalty is tested through structural equation modelling techniques. The sample consisted of 811 Spanish social networking site users collected through a personal survey. Risk is measured as a formative construct.

Data analysis shows that attitude is a key variable in increasing satisfaction and loyalty towards social networking sites. Sociability and entertainment gratifications and perceived risks (psychological, time loss and social) are the main drivers of user attitude towards social networking sites.

This research enables managers to know what aspects to highlight in their communication strategies to increase social networking site use and positive word‐of‐mouth. The research findings show managers that social networking site content should provide fun and foster user interactions in order to improve user attitude. Practical recommendations to increase social networking site satisfaction and loyalty and guidelines to reduce perceived risk dimensions are also provided.

Despite the importance of social networking sites for companies, only limited work has been done to identify motivators and barriers of social networking site loyalty. This work aims to combine the influence of gratifications provided by social networking sites, perceived risks, attitude and satisfaction in order to construct an improved model for social networking site loyalty formation. Furthermore risk is measured as a formative construct because there is no reason to expect that risk dimensions in social networking site use are correlated.

This paper aims to identify the effect of social structure variables on the purchase of virtual goods. Using field data, it also tests whether their effects on a social networking service are dynamic.

To achieve the research objectives, the authors have applied the random effects panel Tobit model with actual time-series corporate data to explain a link between network structure factors and actual behavior on social networking services.

The authors have found that various network structure variables such as in-degree, in-closeness centrality, out-closeness centrality and clustering coefficients are significant predictors of virtual item sales; while the constraint is marginally significant, out-degree is not significant. Furthermore, these variables are time-varying, and the dynamic model performs better in a model fit than the static one.

The findings will help social networking service (SNS) operators realize the importance of understanding network structure variables and personal motivations or the behavior of consumers.

This study provides implications in that it uses various and dynamic network structure variables with panel data.

Drawing upon the theory of planned behavior (TPB) and the self-regulation framework, the purpose of this paper is to investigate whether and how factors for social media continuance behaviors work differently between social networking sites and microblogging.

A survey method was used to collect two samples of 557 social networking sites users and 568 microblogging users. The proposed research model was tested with the structural equation modeling technique.

The empirical results demonstrate that the impacts of influencing factors on users’ continuance behaviors vary by types of social media services. Information sharing has a stronger impact on microblog users’ satisfaction than social network users while social interaction has a stronger impact on satisfaction for social network users than microblog users. In addition, interpersonal influence is more effective in shaping satisfaction for the social network users while media influence is more effective in shaping satisfaction for the microblog users.

This is one of the first studies that integrate TPB with Bagozzi’s self-regulation framework to understand the behavioral model of social networking and microblogging continuance. The findings show that the impacts of attitudinal beliefs regarding information sharing and social interaction on social media users’ satisfaction are different across social networking and microblogging contexts. Moreover, this study also reveals different effects of two specific subjective norms – interpersonal and media influence – on continued use of social networking and microblogging.