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1 – 10 of over 209000In the context of a retailer with an international supply network, this paper develops theories of (a) how both stability and strong ties in an international supply network…
Abstract
In the context of a retailer with an international supply network, this paper develops theories of (a) how both stability and strong ties in an international supply network combine to yield a resource base that enables the development of flexible relationships with suppliers, (b) how stability and relationship flexibility in the international supply network of a retail reseller may in turn be driven both by the international diversity and by the density of the retailer’s supply network in a product category, and (c) how both the international diversity and the density of a retailer’s supply network may directly affect the likelihood of a retailer developing flexible relationships with its supplier. In doing so, this paper develops and presents six hypotheses and discusses some approaches to measurement of the underlying constructs and testing the hypothesized effects.
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Claire Sinnema, Alan J. Daly, Joelle Rodway, Darren Hannah, Rachel Cann and Yi-Hwa Liou
Mihnea C Moldoveanu, Joel A.C Baum and Tim J Rowley
In this reply, we respond to a series of substantive comments on our work by both Madhavan and Walker. In our response to Madhavan’s comments, we consider three accounts – “weak,”…
Abstract
In this reply, we respond to a series of substantive comments on our work by both Madhavan and Walker. In our response to Madhavan’s comments, we consider three accounts – “weak,” “semi-strong” and “strong” – that clarify how our model “explains” and offers insights that can emerge from our modeling strategy. We also explore ways in which our explanatory strategy might be extended in light of his critique. In our response to Walker’s comments, we adopt the “semi-strong” thesis, which admits variation in network-generating mechanisms, while also recognizing that information needs to be distributed and shared in order for many types of networks to function.
This commentary addresses the problem of interfirm network formation from the perspective of multiple types of relationship content and of network structure. The approach builds…
Abstract
This commentary addresses the problem of interfirm network formation from the perspective of multiple types of relationship content and of network structure. The approach builds on Burt’s (1980) typology of network structures and on a range of empirical studies on interorganizational networks. The chapter by Moldoveneau, Baum and Rowley on network evolution from an information-sharing perspective captures part of this research domain. The challenges posed by network evolution research are discussed in the broader light of multilevel analysis.
Denise Bedford and Thomas W. Sanchez
This chapter explains how to design and operationalize a knowledge network analysis. The authors walk through a nine-step methodology that addresses each stage of the process. The…
Abstract
Chapter Summary
This chapter explains how to design and operationalize a knowledge network analysis. The authors walk through a nine-step methodology that addresses each stage of the process. The nine-step process is the result of an in-depth review of the theoretical and applied literature. The authors explain how and why each step contributes to the quality and goodness of the analysis. The risks of skipping or sub-optimizing steps are explained. The step-by-step process highlights the dependence of a knowledge network analysis on data sources. The authors explain the importance of identifying, collecting, and curating sources.
The Moldoveanu, Baum & Rowley approach highlights the importance of developing a multi-level theory of network evolution that explicitly accounts for strategic agency and…
Abstract
The Moldoveanu, Baum & Rowley approach highlights the importance of developing a multi-level theory of network evolution that explicitly accounts for strategic agency and (bounded) rationality. I discuss intriguing questions raised by their model about structure vs. topology, feedback loops in evolution, and network resources other than information.
Mauricio Pino Yancovic, Alvaro González Torres, Luis Ahumada Figueroa and Christopher Chapman
Mauricio Pino Yancovic, Alvaro González Torres, Luis Ahumada Figueroa and Christopher Chapman