The Network Challenge Chapter 20

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.

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.

Complex products, such as airplanes and automobiles, are designed by networks of design teams working on different components, often across organizations. The challenge in managing these networks is to decompose the project into manageable pieces but then coordinate the entire network to produce the best overall design. In this chapter, Manuel Sosa offers insights on this challenge. He examines the design structure matrix (DSM) as a project management tool for planning complex development efforts and discusses the engineering and managerial implications of considering complex products as networks of interconnected subsystems and components. In particular, he considers the impact of modularity on interactions among subcomponents. Finally, he examines organizational communications, overlaying product interfaces with communications interfaces of development teams to understand where communication links may be missing or unnecessary. The discussion offers insights on any complex design and coordination challenge, where networks of individuals or teams work together to contribute to a larger whole.

Complexity theory offers valuable insights into the interactions of complex systems such as networked enterprises. Complexity theory addresses the “network effects” that result from interactions between many individual actors. This chapter examines the implications of this theory for business, and how these effects influence key management areas such as making sense, strategy, and organization. The author explores issues such as fads and crowds, using information and technology, and the use of agent-based simulations. Finally, he explores the shifts in management thinking, and business education, needed to utilize complexity theory--a shift in mental models that may be crucial to success in a networked world.

Social networks and word-of-mouth marketing are increasingly important, yet few current practices are based on a deep understanding of how the structure of networks can affect customer behavior and marketing outcomes. This chapter offers some critical observations on current word-of-mouth marketing practices and identifies four key questions that managers need to ask themselves before engaging in campaigns designed to leverage customer networks: Can we be confident that interpersonal influence or social contagion is really important? Why exactly would social contagion occur? Should we target key influentials? Can we identify and target those influentials? The answers to these questions cannot be taken for granted.

Human knowledge and traditions can persist long after their relevance disappears, particularly in an environment of rapid change. Organizational routines often continue in force long after memory of their purpose has been lost. But memory is rarely lost entirely. It usually lingers, in distributed fragments, in an organization’s social networks and can, when needed, be reassembled. This chapter examines the role of such networks in the process of memory loss and recovery.

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.