The Network Challenge Chapter 21

Modern financial systems exhibit a high degree of interdependence, with connections between financial institutions stemming from both the asset and the liability sides of their balance sheets. Networks--broadly understood as a collection of nodes and links between nodes--can be a useful representation of financial systems. By modeling economic interactions, network analysis can better explain certain economic phenomena. In this chapter, Allen and Babus argue that the use of network theories can enrich our understanding of financial systems. They explore several critical issues. First, they address the issue of systemic risk, by studying two questions: how resilient financial networks are to contagion, and how financial institutions form connections when exposed to the risk of contagion. Second, they consider how network theory can be used to explain freezes in the interbank market. Third, they examine how social networks can improve investment decisions and corporate governance, based on recent empirical results. Fourth, they examine the role of networks in distributing primary issues of securities. Finally, they consider the role of networks as a form of mutual monitoring, as in microfinance.

While managers typically view business through the lens of a single firm, this book challenges readers to take a broader view of their enterprises and opportunities. Here, more than 50 leading thinkers in business and many other disciplines take on the challenge of understanding, managing, and leveraging networks.

Telecommunications is a networked business, yet it traditionally has resisted a network-based view in its strategies and business models. In this chapter, Kevin Werbach explores this paradox, contrasting the worldview of Monists such as AT&T, who see the infrastructure as inseparable from the network, and Dualists such as Google, who see the network and its applications as distinct from the underlying infrastructure. Not surprisingly, AT&T is a proponent of “tiered access” whereas Google argues for “network neutrality.” Finally, Werbach examines how a more modular future might bridge the gap between those who seek to own and capitalize on the network and those who seek to expand it through more neutral offerings.

Most companies realize the need to “look outside” for innovation. However, few have a clear understanding about how they can make such a shift toward network-centric innovation--an innovation strategy that is centered on external networks and communities. Managers need more than anecdotal success stories about externally focused innovation, and they need more specific guidance than the “one size fits all” prescriptions of open innovation. The authors argue that every firm needs to find its own roadmap for tapping the “Global Brain”--the creative potential of the world outside its four walls. There are many different approaches and opportunities for network-centric innovation, based on the nature of the innovation space and the nature of network governance. In this chapter, the authors present a framework for structuring the landscape of network-centric innovation. They describe four models of network-centric innovation--Orchestra, Creative Bazaar, Jam Central, and MOD Station--and outline how companies can select, prepare for, and pursue the approach that best fits their particular business and innovation context.

Information about life-and-death matters such as ways to attain good health or prevent disease is often diffused through informal social networks. Network-based strategies and competencies are probably even more important in poor societies with limited means of communication and less effective formal structures than in developed economies. In this chapter, the authors explore the nature of and impacts of informal social networks in reducing fertility and HIV infection in Kenya and Malawi, using longitudinal quantitative and qualitative data that they and their collaborators have been collecting and analyzing for more than a decade. They find that social networks and informal interactions are relevant for many different health domains in developing countries. Their research shows that network effects may be nonlinear, that there may be multiple equilibria, and that networks may either reinforce the status quo or help diffuse new options and behaviors. They show that both the context (e.g., the degree of market development) and the density of networks matter (possibly interactively), as well as the endogeneity of network partners. Their work demonstrates that multiple approaches, including both qualitative and quantitative analyses, can be informative in providing greater understanding of what networks do and how they function.

If you accept, in the words of Thomas Friedman, that “the world is flat,” how do you need to reshape your organization, management, and thinking for this new terrain? This chapter offers strategies and insights on the capability for “network orchestration” that is essential in designing and managing networks that are centrally controlled. While most management education is focused on competition at the firm level, competition today is increasingly “network against network.” This changes the way we approach strategy, supply chains, building competencies, and managing enterprises. The authors examine the strategies used by successful networked companies in diverse industries. Effective network orchestration requires balancing control with empowerment of customers, suppliers, and entrepreneurial managers; and building value more from integration than specialization. While the traditional focus of core competencies has been at the firm level, the rise of networked organizations means that companies need to take a broader view. Success is based less on the competencies that the organization owns than those that it can connect to. This means that core competencies in network orchestration and learning may become increasingly important because these meta-competencies allow organizations to assemble and flexibly reconfigure the competencies needed to fulfill a customer-driven value chain.

Although any manager would recognize the importance of “networking” in finding, developing, and retaining employees, human resource management traditionally has focused on individuals. In this chapter, the authors point out that core HR processes such as recruitment and hiring, training and development, performance management, and retention all depend on networks. They consider the importance of weak ties in matching employees with jobs and “structural holes” in promoting creativity. They urge managers to make the shift from an atomized view to a network view of human resources--from focusing on the “trees” to understanding the “forest.” They show that networks can boost efficiency and productivity by facilitating information sharing, attracting talent, and strengthening employees’ commitment to the firm. But networks may also pose risks such as “lift-outs,” in which a departing employee takes other workers in his or her network. The authors explore how managers need to understand the impact of networks and how to “manage” them.

From oil companies seeking rights to drill to consumer products firms attempting to forestall a consumer boycott, organizations often seek to influence political or social policy to achieve their own objectives. But to exert this influence, they need to understand the structure of political and social networks. In this chapter, Witold Henisz examines how information about the structure of political and social networks can be integrated into data acquisition and analysis, as well as strategy implementation. Although sophisticated companies have long relied on an informal understanding of networks of informants to gather information about social and political actors at home and abroad, the analysis of the information and design of an influence strategy has too often occurred without reference to that structure. As Henisz points out, a more rigorous approach to analysis is transforming political and social risk management from art to quasi-formal science. This chapter outlines the past, present, and future frontiers of political and social risk management with particular attention to using an understanding of the network structure of diverse actors in perceiving, analyzing, and influencing the political and social environment.