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1 – 10 of over 1000In this article, I propose a theory of network opportunity emergence. The core of the argument is that as an overall industry network structure becomes centralized, opportunities…
Abstract
In this article, I propose a theory of network opportunity emergence. The core of the argument is that as an overall industry network structure becomes centralized, opportunities emerge for new entrants. As the institutional environment evolves toward a centralized network flow structure, innovators can identify newly emerged rich resource niches that serve as the perfect breeding ground for an entrepreneurial start-up. While the framework is an aggregate level conceptualization of market opportunities, it also identifies specific actionable opportunities at a very micro level. Examples from the networks of the airline industry illustrate the logic. I conclude by discussing the innovation and entrepreneurship implications for a wide variety of industries and network tie types, calling for utilization of the framework to answer a broad variety of research questions.
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Giuseppe Soda, Akbar Zaheer and Alessandra Carlone
Organizational networks are generally considered major antecedents of mutual influence in adopting similar practices, typically via a structure of dense ties, or closure. We…
Abstract
Organizational networks are generally considered major antecedents of mutual influence in adopting similar practices, typically via a structure of dense ties, or closure. We propose that under conditions of competitive interdependence, closure may be associated with links established to access resources and knowledge and become a possible source of differentiation rather than imitation. We test these and other antecedents of imitative behavior and performance in the Italian TV industry with 12 years of data on 501 productions. We find that network closure is associated with lower imitation, centrality, but not status, leads to imitation, and that imitation lowers performance.
Research has found that African-Americans and women have opportunities for advancement in the traditional corporate environment through resources embedded in their social…
Abstract
Research has found that African-Americans and women have opportunities for advancement in the traditional corporate environment through resources embedded in their social networks. However, layoffs can affect the composition of their social networks, their positions in the networks, and rewards from those networks. I suggest that the racial, cultural, and gender differences between African-American and women layoff survivors and White and male layoff survivors will negatively affect their access to and benefits from social capital resources. Yet, strong tie relationships with White and male layoff survivors in key strategic positions can help African-American and women survivors maintain their existing job position because they can then borrow the social capital resources of the White and male survivors. Thus, while research has found that weak ties help individuals advance in their workplaces, strong tie relationships with majority groups may be more beneficial to minority groups in maintaining their position after a layoff.
Stephen P. Borgatti, Daniel J. Brass and Daniel S. Halgin
Is social network analysis just measures and methods with no theory? We attempt to clarify some confusions, address some previous critiques and controversies surrounding the…
Abstract
Is social network analysis just measures and methods with no theory? We attempt to clarify some confusions, address some previous critiques and controversies surrounding the issues of structure, human agency, endogeneity, tie content, network change, and context, and add a few critiques of our own. We use these issues as an opportunity to discuss the fundamental characteristics of network theory and to provide our thoughts on opportunities for future research in social network analysis.
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What is the scope of brokerage network to be considered in thinking strategically? Given the value of bridging structural holes, is there value to being affiliated with people or…
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What is the scope of brokerage network to be considered in thinking strategically? Given the value of bridging structural holes, is there value to being affiliated with people or organizations that bridge structural holes? The answer is “no” according to performance associations with manager networks, which raises a question about the consistency of network theory across micro to macro levels of analysis. The purpose here is to align manager evidence with corresponding macro evidence on the supplier and customer networks around four-digit manufacturing industries in the 1987 and 1992 benchmark input–output tables. In contrast to the manager evidence, about 24% of the industry-structure effect on industry performance can be attributed to structure beyond the industry's own buying and selling, to networks around the industry's suppliers and customers. However, the industry evidence is not qualitatively distinct from the manager evidence so much as it describes a more extreme business environment.
David Obstfeld, Stephen P. Borgatti and Jason Davis
We argue for a broadened approach to brokerage by distinguishing between brokerage emphasizing a particular structural pattern in which two otherwise disconnected alters are…
Abstract
We argue for a broadened approach to brokerage by distinguishing between brokerage emphasizing a particular structural pattern in which two otherwise disconnected alters are connected through a third party (“brokerage structure”) and the social behavior of third parties (“brokerage process”). We explore a processual view of brokerage by examining three fundamental strategic orientations toward brokerage: conduit, tertius gaudens, and tertius iungens that occur in many different forms and combinations. This processual view is especially relevant in increasingly complex and dynamic environments where brokerage behavior is highly varied, intense, and purposeful, and has theoretical implications for studying multiplexity, heterogeneity, and brokerage intensity.
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