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The social integration of students within a campus community is vital in enhancing their college experiences. Researchers have sought to determine how best to promote successful social integration for university students. Traditionally, on-campus orientations and residence hall activities have been used to foster student social integration. However, Facebook and other social networking sites (SNSs) can be used for social integration among students in ways that were never before possible. It is important that student-affairs professionals explore the supportive roles for this that SNSs like Facebook might play, since successful student adjustment within a campus is positively correlated with student retention rates.

College students are already using Facebook to bolster their social networks within the university, but it is worth considering the advantages and disadvantages of promoting the use of SNSs for social integration. Facebook is favored because it offers low levels of self-disclosure in social interactions, it increases the social capital of the university, and it offers students with a unique means of acquiring academic support from both their professors and their peers. Unfortunately, extensive Facebook use can also create a social skills deficit in students, lead students to experience information overload, and cause them to shirk their academic responsibilities.

Facebook is neither a panacea for student engagement nor a signal of the end of meaningful interpersonal connections on campus. Student-affairs professionals should become aware of the ways that students engage with SNSs to leverage opportunities for furthering student integration while remaining aware of the limitations for community building that SNSs present.

This chapter describes how higher education professionals and college students can use social networking sites and technology to manage their careers. Individuals can expect to change careers several times in a lifetime making the importance and role of social networks past and present central to the career management process. The way individuals communicate and interact through the use of social networking sites for the purpose of career development is discussed. The role of social networking sites in exploring career options, learning, making connections, searching for jobs, developing professionally, making decisions, and maintaining a professional image online is examined. A model is presented on using social networking sites to gather information and feedback during the career management process. Scenarios and examples are provided from higher educational professionals, hiring managers, college students, job seekers, and career changers. The chapter envisions the future of career management specific to higher education and addresses how higher education career advisors can respond to social networking sites and technology.

Social networking platforms such as Facebook have infiltrated the lives of many students, and as such it is natural to consider how they can be effectively used to enhance learning. This chapter provides a comprehensive review of social networking in education from a design perspective. Social networking is defined based on Boyd & Ellison’s seminal definition of connected profiles, and is distinguished from social media for the purposes of investigation. Facebook, Edmodo, and other social networking platforms are briefly described, before summarizing the wide variety of social networking usage reported in the research literature. The various benefits of social networking in education are distilled from the literature, including their capacity to facilitate community building, collaboration, reflection, and expedient access to learning. Issues surrounding the educational use of social networking are also organized into themes, for instance privacy concerns, distraction, cyber-safety, and technical constraints. The implications of findings from the social networking literature are synthesized into learning design and implementation recommendations. The chapter concludes with a discussion of open questions and areas for further investigation.

University libraries have traditionally been the primary caretaker of scholarly resources. However, as electronic modes of information delivery replace print materials, expectations of academic libraries have evolved rapidly. In this environment, academic libraries need to be adaptable organizations. Librarianship, though, is deeply rooted in strong values and beliefs which inherently limit receptivity to change and innovation, but these constraints are not absolute. Social network research indicates that professional advice networks play a significant role in how one thinks about and performs work and that individual perspectives are broadened when diverse input is received. Based on social network analysis methods, this study explored the relationship between individual receptivity to innovation and the composition of a person's professional advice network through a purposive sample of academic librarians in Illinois. The group completed a survey that explored two dimensions: (1) the nature of relationships within their professional advice network and (2) the individual's personal receptivity to innovation. Analysis of the nature of relationships within the professional advice networks was based on a combination of quantitative and qualitative techniques, in contrast to the analysis of the respondents’ receptivity to innovation which was based on quantitative measures. Based on the information from the 440 respondents, the results of this research indicate that there is a relationship between the size of the professional advice networks and individual's receptivity to innovation, but additional aspects of the professional advice network may play a role in an individual's overall receptivity to innovation.

This paper aims to validates a framework using the Uses and Gratifications Theory (UGT) to study the effect of values, i.e. Functional Value (FV), Social Value (SV), Emotional Value (EV) and Monetary Value (MV), on the Patronage Intention (PI) of Social Network Users (SNU’s) with mediating role of Perceived Usefulness (PU).

A survey method was used to collect responses from 302 SNUs, and the variance-based structural equation method was used to understand the relationships among the constructs.

The results found a significant positive effect of FV and EV on Perceived Usefulness (PU) and MV and PU on Patronage intention (PI) of SNUs. Further, PU partially mediated the relationship of EV with PI.

This study used the UGT to understand the effect of values on the PI of SNUs. This research study contributes to the existing social networks/social media literature.

This paper aims to study the behavior of individuals in their job search. The authors analyze the impact of the size and quality of the network on the probability of finding a job through relationships and the quality of the job found through networks for men and women separately.

For this, the authors estimate a series of logit models using the Algerian employment survey (2003 and 2007). Then, they use these models to undertake predictions of the probability of finding jobs through social networks according to the size of the social networks.

The findings of this research, confirm that men and women use different methods in the job search; women use fewer connection networks in the search compared to men. There appears to exist some discrimination against women in the use of family networks; men use and find more jobs using family relationships. Overall, the jobs found through relationships are more precarious and less stable. Social networks appear to be an effective method of finding a job in Algeria but not for skilled jobs.

There are few empirical works that analyze at the same time the role of relationship networks in integration into the labor market and the quality of employment, in particular in the case of Middle East and North Africa (MENA) countries. Understanding the intermediation mechanisms can help to develop better employment policy strategies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2021-0485

This study aims to develop and test a process model of the effect of social media use by business-to-business (B2B) salespeople on their value cocreation and cross/upselling performance. Adopting a research acquisition perspective, the authors claim that salesperson’s social media use is critical for generating social capital – an operant resource characterized by superior market knowledge, reputation and networking – which, in turn, directly and synergistically enhances value cocreation and cross/upselling outcomes.

A model is developed based on extant sales research on salesperson’s social media use and social capital theory. Data from B2B salespeople is analyzed using structural equation modeling to test the proposed hypotheses.

The results demonstrate that salespeople’s social media use enhances their social capital with support for direct effects on market knowledge and reputation, and indirect effect on networking. The results also show that the three aspects of social capital drive value cocreation, which enhances cross/upselling performance. Post hoc analysis shows the indirect effects of salesperson’s social media use as well as the interconnected effects of the aspects of social capital on value cocreation.

The study indicates that salespeople should be encouraged to use social media as a means for enhancing market knowledge and reputation, which can then be leveraged to build networking skills. Providing training to salespeople and coaching them on how to build their social capital is essential if organizations need to capitalize on novel ways to improve the value cocreation performance of their sales teams.

This study demonstrates how salespeople’s social media use can enhance their social capital, which, in turn, is critical for value cocreation and cross/upselling performance. The proposed framework opens opportunities for future studies to examine the role of salesperson social capital and value cocreation in B2B exchanges.

Drawing on the literature regarding the social network and stock investment, this paper aims to focus on the use of the social network on stock ownership decisions at individual levels. This paper also attempts to shed light on potential mediators of the relationship between the social network and stock ownership.

To determine the relationship between stock ownership and using the social network, logistic regression was used. In order to isolate the effect of using hs on stock ownership, a decomposing method was adopted.

The findings provide evidence of the positive contribution of the use of social networks in stock ownership. Personal characteristics, such as household net worth, homeownership, education level and risk tolerance, may play a vital role in influencing individuals' decisions regarding stock investment. In addition, this study contributes to our understanding of income's mediating role in stock investment decisions.

First, the authors contribute theoretically by drawing from the assumptions of social networking contagion theory, social influence theory, and social capital theory. Second, we explored potential mediators of the relationship between the social network and stock ownership. Third, this study complements the literature in incorporating the social network in business, financial professionals to be exact.

What makes investors tick? Largely counter-intuitive compared to the findings of most past research, this study explores the possibility that funding investors invest in companies based on social relationships, which could be positive or negative, similar or dissimilar. The purpose of this paper is to build a social network graph using data from CrunchBase, the largest public database with profiles about companies. The authors combine social network analysis with the study of investing behavior in order to explore how similarity between investors and companies affects investing behavior through social network analysis.

This study crawls and analyzes data from CrunchBase and builds a social network graph which includes people, companies, social links and funding investment links. The problem is then formalized as a link (or relationship) prediction task in a social network to model and predict (across various machine learning methods and evaluation metrics) whether an investor will create a link to a company in the social network. Various link prediction techniques such as common neighbors, shortest path, Jaccard Coefficient and others are integrated to provide a holistic view of a social network and provide useful insights as to how a pair of nodes may be related (i.e., whether the investor will invest in the particular company at a time) within the social network.

This study finds that funding investors are more likely to invest in a particular company if they have a stronger social relationship in terms of closeness, be it direct or indirect. At the same time, if investors and companies share too many common neighbors, investors are less likely to invest in such companies.

The author’s study is among the first to use data from the largest public company profile database of CrunchBase as a social network for research purposes. The author ' s also identify certain social relationship factors that can help prescribe the investor funding behavior. Authors prediction strategy based on these factors and modeling it as a link prediction problem generally works well across the most prominent learning algorithms and perform well in terms of aggregate performance as well as individual industries. In other words, this study would like to encourage companies to focus on social relationship factors in addition to other factors when seeking external funding investments.

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.