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Artificial intelligence (AI) offers computational methodologies for modeling systems, which can be valuable in understanding networks. In this chapter, the author examines several types of applications of these methods in exploring how the behavior of individual agents leads to outcomes across networks. For example, he considers how one system, based on a Prisoner’s Dilemma that provides a higher payoff for players who don’t cooperate, can result in a surprising outcome in which cooperation dominates after many rounds of play. He also considers agent-based models--including turtles in a pond, showing discrimination effects; and sugar and spice trading, showing interactions through trading. Finally, he explores applications to ant colony optimization and swarming optimization of flocks of birds or schools of fish. He concludes that computational models offer important insights into networks, and the procedures used in modeling have a significant impact. The discussion also demonstrates that “networks matter,” affecting outcomes in sometimes unpredictable ways.
As manufacturing supply chains have moved from vertically integrated factories to diffused networks, manufacturers need to manage complex, global webs of suppliers. In this chapter, Netessine examines supply networks in two industries in particular: automobiles, and aerospace and defense. He explores how different strategies and technologies have helped companies manage, organize, and capitalize on their networks of suppliers. He discusses how Japanese automakers have used partnerships to outperform their U.S. rivals, who have taken a more adversarial approach to their suppliers. He also considers how companies such as Airbus and Boeing have used technology to coordinate and integrate far-flung networks. While Netessine notes that the formal study of network-based supply chains is just emerging, he offers insights from research and practice on the growing importance of supply networks and strategies for managing them successfully.
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.
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.
This chapter provides an overview of social networks, the basic discipline from which ideas and terminology are drawn when characterizing popular phenomena such as “social networking” Internet sites like Facebook. The authors offer the reader a flavor of the theoretical and empirical research conducted by social network scholars since the 1930s. They explore how researchers have used social networks to generate and test economic, sociological, and organizational theories. They also examine broad insights from this research, as well as management implications in areas such as advertising, brands, loyalty, authenticity, and segmentation. The overriding message is that as power shifts from firms to social networks, companies have less control over their own destinies and need to pay more attention to networks.
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.
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.
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.
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.