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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.

This chapter discusses the emerging network science approach to the study of complex adaptive systems and applies tools derived from statistical physics to the analysis of tourism destinations. The authors provide a brief history of network science and the characteristics of a network as well as different models such as small world and scale free networks, and dynamic properties such as resilience and information diffusion. The Italian resort island of Elba is used as a case study allowing comparison of the communication network of tourist organizations and the virtual network formed by the websites of these organizations. The study compares the parameters of these networks to networks from the literature and to randomly created networks. The analyses include computer simulations to assess the dynamic properties of these networks. The results indicate that the Elba tourism network has a low degree of collaboration between members. These findings provide a quantitative measure of network performance. In general, the application of network science to the study of social systems offers opportunities for better management of tourism destinations and complex social systems.

This chapter introduces readers to a complex adaptive systems approach for integrating research on genes, behavior, and social structures/institutions. Until recently, scientists have resorted to reductionism as a decoding and epistemological strategy for understanding human health. The complex bonds among health’s biological, behavioral, and social dimensions, however, cannot be fully grasped with reductionist schemas. Moreover, because reducing and simplifying can lead to incomplete understanding of phenomena, the resulting deficient knowledge has the potential to be harmful.

To achieve its purpose, this primer will: (1) introduce fundamental notions from complexity science, useful for inquiry and practice integrating research on genes, behavior, and social structures; (2) outline selected methodological strategies employed in studying complex adaptive/dynamic systems; (3) address the question, “Specifically, how can a dynamic systems approach be helpful for integrating research on genes, behavior, and social structures/institutions, to improve the public’s health?”; and (4) provide examples of studies currently deploying a complexity perspective.

The originality/value of this primer rests in its critique of the research status quo and the proposition of an alternative lens for integrating genomic, biomedical, and sociological research to improve the public’s health. The topic of complex adaptive/dynamic systems has begun to flourish within sociology, medicine, and public health, but many researchers lack exposure to the topic’s basic notions and applications.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

This chapter is about the relationship between Networked Organizations and Appreciative Inquiry. To set a context, Theory about networks is related to the expressed needs of Appreciative Inquiry. Stories follow, from both appreciative and network perspectives. Ideas are put to work through practice as expressed by method – consisting of principles, practices, and processes. Further, method is embedded in technology to support functioning networks. In research, we look at learning about human systems and suggest that online digital places form natural laboratories to collect, analyze, and synthesize data. Concluding with Search, we revisit the question of consciousness in human systems.

This study analyzes the impact of different types of social capital (structural, relational, cognitive) from different sources (internal and external) generated in electronic social networks on organizational performance.

We test our hypotheses using OLS regression analysis of data obtained from nonprofit organization (NPO) fundraising on a popular online social networking website.

The results provide insights into the multifaceted, complex nature of social capital in electronic environments. We find that electronic social capital does indeed impact organizational outcomes, but that these impacts vary depending on the type of social capital, the type of outcomes, and roles within the social network.

These results clearly indicate the need to further research exploring social capital, in all its forms, within increasingly popular online and electronic social networks. While specifically applicable to NPOs, the findings also provide important insights for a wide variety of organizations.

Maturana and Varela (1980, p. 78f) provided the following definition of autopoiesis: “An autopoietic machine is a machine organized (defined as a unity) as a network of processes of production (transformation and destruction) of components that produces the components which: (i) through their interactions and transformations continuously regenerate and realize the network of processes (relations) that produced them and (ii) constitute it (the machine) as a concrete unity in the space in which they (the components) exist by specifying the topological domain of its realization as such a network.” This definition shows that for Maturana and Varela, autopoietic systems are systems that define, maintain, and reproduce themselves. The notion of machine that they employ in the definition might seem a bit misleading because we tend to think of machines as mechanistic and nonliving, but Maturana and Varela (e.g., 1987) in later publications have preferred to speak of autopoietic organizations.

Higher education institutions (HEIs) in developed countries have started using social media for the provision of quality education and the production of valuable research; however, the picture is not very bright in case of many developing countries. Web 2.0 services and applications like social and professional networking systems, wikis, and blogs can facilitate in fostering discussion, improving online interaction, and enhancing collaboration among stakeholders of HEIs in developing countries. This process can lead toward resolving quality issues in the higher education sector of developing countries. Information Technology Alteration – Design and Management – Framework proposes that if intercultural variations of values exist between the technology producing country and technology consuming country then, Information and communication technology systems – for example, Web 2.0 systems-should be customized, redesigned, and altered in cross-cultural implementations.