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.

Logistics is at the center of network-based manufacturing strategies, linking manufacturing sources with intermediate and final markets. As global logistics networks have grown and developed, they also have presented new challenges in managing risk and volatility across these broad, global networks. In this chapter, Kleindorfer and Visvikis discuss changes in logistics and financial instruments such as derivatives that have emerged to value and hedge the cost of capacity and services in these markets. They trace the recent history of maritime logistics and describe the convergence and integration of the physical and financial networks that underlie the valuation and use of logistics services. Global logistics illustrates how network-based strategies have integrated financial and physical networks. It also shows the emerging tools and competencies that have been needed to manage new risks arising from these broader 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.

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.

In an environment of rapid and discontinuous change, managers have turned to alliances to access the resources they need. But research on alliances shows that more than half fail, demonstrating the difficulty of managing these relationships. Based on their extensive research on alliances, the authors explore the relational capabilities needed for building and managing successful alliances. Using the case of Royal Philips, they explore the role of strategy, structure, systems, people, and culture in alliance success. They also discuss the need for ongoing adaptation and renewal of relational capabilities as the business and its environment change.

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.

Zott and Amit explore the role of business models in creating value through networks. They review earlier, firm-centric views of value creation, including Porter’s value chain, the resource-based view, and the transaction costs approach. They point out that business models go well beyond classic views of network theory (e.g., topography and structure) and include notions of purpose, acceptance, fairness, coherence, and viability. Based on their earlier framework for e-business models, they explore the role of four major interlinked value drivers: efficiency, complementarities, lock-in, and novelty. They argue that the focal firm’s business model acts as both an engine for value-creation and an invaluable construct for understanding the firm’s role in relation to other business model participants in the networks in which it is embedded.

Although networks in key business areas such as communications, supply chains, R&D, and sales are designed to improve the flow of information, people, or goods, they can also be used to improve the “peripheral vision” of the organization. In this chapter, the authors examine how networks can be used by organizations to scan, sense, and adapt to new and important signals from the organization’s strategic environment beyond its core focus. The first part of the chapter emphasizes the importance of peripheral vision in helping organizations not being blindsided by threats while seeing new opportunities sooner. The authors examine some key obstacles to using networks to better mine the periphery for early insight. They then explore how extended networks can help the organization be a responsive open system adapting faster to changes in the environment. They examine to what extent network constructs such as centrality, hierarchy, self-healing, distributed intelligence, multihoming, and latency can be used to improve organizational networks for scanning the periphery. The last section explores some of the leadership challenges associated with using networks to detect weak signals sooner.

Networks increase interdependencies, which creates challenges for managing risks. This is especially apparent in areas such as security and enterprise risk management, where the actions of a single player in an interconnected network can wreak havoc on everyone in the network. The network, in this case, is only as strong as its weakest link. There are related problems in encouraging investments for prevention and protection, because the expected payoffs from such measures by one player are affected by the actions of other players in the network. This chapter examines the challenges of interdependent security (IDS) and strategies for addressing these, including coordination with broader networks such as industry organizations and government.

Infectious diseases are complex, interdependent events that can be described as networks over enormous scales of time and distance from the molecular to the societal, from the local microenvironment to the global stage. In this chapter, Teh and Rubin argue that meeting this challenge effectively requires a solution that engages networks. This network-based perspective must inform not only the development and distribution of drugs and vaccines for infectious diseases, but also the development of strategies of primary prevention that use the knowledge of such networks to disrupt and limit disease spread. In this review, they analyze infectious diseases in the context of the networks underlying the evolution, establishment, and propagation of disease. They also review the network-based analyses for modeling disease spread and allowing a better understanding of the counter-interventions needed. Finally, they outline the future challenges in this area and propose a collaborative international solution based on a “global compact” that will allow effective diagnosis, prevention, and treatment of infectious diseases.