The Network Challenge (Chapter 8): Artificial Inte…

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Author : Steven O. Kimbrough
Genre : Business & Economics

Summary : 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.

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Author : Paul R. Kleindorfer
Genre : Business & Economics

Summary : 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.

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Author : Boaz Ganor
Genre : Business & Economics

Summary : As terrorist organizations such as Al-Qaeda have been transformed from hierarchical organizations to more fluid networks, countering terrorism requires an understanding of networks. These networks evolve rapidly in response to actions to thwart them, leading to an ongoing struggle of terrorist and antiterrorist networks. In this chapter, Boaz Ganor examines the evolving threat of terrorist networks and network-based responses. As he notes, “it takes a network to beat a network.” He also examines direct and indirect implications for business organizations.

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Author : Witold J. Henisz
Genre : Business & Economics

Summary : 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.

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Author : Christoph Zott
Genre : Business & Economics

Summary : 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.

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Author : Yoram (Jerry) R. Wind
Genre : Business & Economics

Summary : 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.

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Author : Colin Crook
Genre : Business & Economics

Summary : 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.

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Author : Satish Nambisan
Genre : Business & Economics

Summary : 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.

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Author : Manuel E. Sosa
Genre : Business & Economics

Summary : 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.

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Author : Christophe Van den Bulte
Genre : Business & Economics

Summary : 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.