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We introduce a multi-level model of the dependence of interfirm network topologies on the distribution and commonality of information in a network and the information strategies pursued by its member firms. Network topology, information properties of the network, and firm-level action within the network form dynamic, recursive, cross-level relationships – information properties in the network determine firm-level action, which in turn impacts the network topology and information properties. We derive predictions about the kinds of information strategies that firms are likely to adopt and succeed with in different information regimes, and about the kinds and short- and long-run dynamics of network topologies expected under different information regimes. Our model sheds new light on network topologies as a dependent variable that can be explained by network-level information regimes and firm-level information strategies.

In this chapter, we propose a nonconventional methodology, the graph theory, which is especially relevant for the study of high-dimensional financial data. We illustrate the advantages of this method in the context of systemic risk in derivative markets, a main subject nowadays in finance. A key issue is that this methodology can be used in various areas. Numerous applications have now to face the challenge of analyzing gigantic financial data sets, which are more and more frequent. We offer a pedagogical introduction to the use of the graph theory in finance and to some tools provided by this method. As we focus on systemic risk, we first examine correlation-based graphs in order to investigate markets integration and inter/cross-market linkages. We then restrain the analysis to a subset of these graphs, the so-called “minimum spanning trees.” We study their topological and dynamic properties and discuss the relevance of these tools as well as the robustness of the empirical results relying on them.

History teaches us that the glorious victory of mankind across the centuries was accomplished through the successful use of information. The gigantic progressions and rapid transformation of human societies have endorsed legitimacy of abundant data, multiple dynamic variables & critical complexities which reinforce the academia and researchers for understanding and pioneering into ‘Big Data Analytics (BDA)’. Health is one of the vibrant socio-economic variables which have correlations with other aspects of life, that is, education, poverty, income, etc. In fact, there are unending debates whether health can be a basic input for a holistic developmental process or it is the outcome of various developmental factors. BDAs are being used across various sectors of the economy. The developed nations have been yielding most feasible solutions using various forms of analysis of big data. Astronomical research has been using a large quantum of data for accomplishing various satellite projects, space technology, and numerous space missions for the astronaut. With the advent of fourth industrial revolution, the world community has been thriving toward a new age technological innovations that include artificial intelligence, machine learning, block chain technology, etc., which act a pivotal tool for BDAs. In the health sector, application of BDAs has been attempted and experimented in the developed nations which have resulted prolific and sustainable solutions to the most typical cumbersome problems. This chapter has demonstrated how BDAs can make progressive reforms in the Indian Health sector outlining the present status and emerging challenges.

Through the example of a “regulatory ranking” – an index produced with the aim to regulate the pharmaceutical market by pushing companies in the direction of providing greater access to medicine in developing countries – this chapter focuses on indexing and ranking as infrastructural processes which inscribe global problem spaces as unfolding actionable territories for market intervention. It foregrounds the “Indexal thinking” which structures and informs regulatory rankings – their aspiration to align the interests of different stakeholders and to entice competition among the ranked companies. The authors detail the infrastructural work through which such ambitions are enacted, detailing processes of infrastructural layering/collage and patchwork through which analysts naturalize/denaturalize various contested categories in the ranking’s territory. They reflect on the consequences of such attempts at reconfiguring global topologies for the problems these governance initiatives seek to address.

This study focuses on how the creation of a new market identity, defined here by the social categories that specify what to expect of products and organizations, helps legitimize normatively illegitimate products and thereby facilitate the formation of markets for these products. A product is given a legitimate market identity by recombining existing product and status categories in a way that is both isomorphic with and differentiated from these preexisting categories. I argue that the creation of a new market identity helped create a market for feature films that combined legitimate comedy and illegitimate pornography following the legalization of pornography in Denmark in 1969. Topological analyses of the cultural content of all the film posters used to promote Danish films between 1970 and 1978, and regression analyses of the status of the actors appearing in these films document the importance of market identity in legitimizing illegitimacy.

There is a strong academic and professional interest in the changing business model of LCCs in Europe. Recently, even Ryanair which is often considered a European LCC role model has departed from the point-to-point paradigm by offering transfers within its own network. We first provide a general overview of recent changes in the business model of airlines that used to be categorized as LCCs. We then add to existing studies on LCC network strategies toward building connections. While we distinguish different approaches to accommodate transfer passengers, our analysis focuses on mesh networks as an airline network topology other than hub-and-spoke networks to provide online connections. A schedule analysis of Ryanair’s direct and indirect services at its base at Porto airport exemplifies that a mesh network might allow LCCs to go beyond stand-alone operations to become network carriers without requiring a complete transition of the generic LCC business strategy.

This chapter focuses on business and industry networks. All six facets of knowledge networks are described. Three of the six facets have particular importance for these networks, specifically domain, relationships, and how messages are managed and controlled. The authors provide six network profiles, including health care industry networks, fashion industry networks, technology industry networks, food production industry networks, building industry networks, and transportation industry networks.

Tourism studies have conceptualized social media as artifacts and networks of tangible objects based on neat distinctions and categorizations. These neat ontological distinctions and categorizations have been discussed within the academic field of actor-network theory. Several scholars have most significantly investigated the spatialities of messier ways of conceptualizing and approaching societal objects and the trajectories of societal phenomena. Efforts are being made to widen the ontological register that has traditionally dominated social science research, including tourism studies. The purpose of this chapter is to address and problematize the social media pertaining to tourism, focusing on a research project as analytical and methodological lens.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.