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A longitudinal study of the influence of alliance network structure and composition on firm exploratory innovation
TLDR
In this paper, the influence of the structure and composition of a firm's alliance network on its exploratory innovation was examined, and the benefits of network closure and access to diverse information can coexist in a firms' alliance network.Abstract:
This study examines the influence of the structure and composition of a firm's alliance network on its exploratory innovation. In a longitudinal investigation of 77 telecommunications equipment manufacturers, I find the technological diversity of a firm's alliance partners increases its exploratory innovation. I also find that network density among a firm's alliance partners strengthens the influence of diversity. These results suggest the benefits of network closure and access to diverse information can coexist in a firm's alliance network and the combination of the two increases exploratory innovation.read more
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Estimation and Inference in Econometrics
TL;DR: A theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification.
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Prologue to The Difference: How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies
TL;DR: The Difference as discussed by the authors is a landmark book about how we think in groups and how our collective wisdom exceeds the sum of its parts, and how groups that display a range of perspectives outperform groups of like-minded experts.
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A General Framework for Analysing Diversity in Science, Technology and Society
TL;DR: The resulting approach offers a way to be more systematic and transparent in the treatment of scientific and technological diversity in a range of fields, including conservation management, research governance, energy policy and sustainable innovation.
Journal Article
The Role of Strategic Alliances in High-Technology New Product Development
Masaaki Kotabe,K. Scott Swan +1 more
TL;DR: In this article, the authors examined 905 new product innovations introduced since September 1988 to determine the influences on product innovativeness, with a specific interest in strategic alliances, or cooperative strategies.
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Relative absorptive capacity and interorganizational learning
Peter J. Lane,Michael Lubatkin +1 more
TL;DR: In this article, the authors reconceptualize the firm-level construct absorptive capacity as a learning dyad-level measure, relative absorptive capacities, and test the model using a sample of pharmaceutical-biotechnology R&D alliances.
References
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Journal ArticleDOI
Social Capital in the Creation of Human Capital
TL;DR: In this paper, the concept of social capital is introduced and illustrated, its forms are described, the social structural conditions under which it arises are examined, and it is used in an analys...
Journal ArticleDOI
Absorptive capacity: a new perspective on learning and innovation
TL;DR: In this paper, the authors argue that the ability of a firm to recognize the value of new, external information, assimilate it, and apply it to commercial ends is critical to its innovative capabilities.
Forms of Capital
TL;DR: The notion of capital is a force inscribed in objective or subjective structures, but it is also a lex insita, the principle underlying the immanent regularities of the social world as mentioned in this paper, which is what makes the games of society, not least the economic game, something other than simple simple games of chance offering at every moment the possibility of a miracle.
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A Dynamic Theory of Organizational Knowledge Creation
TL;DR: In this paper, the authors propose a paradigm for managing the dynamic aspects of organizational knowledge creating processes, arguing that organizational knowledge is created through a continuous dialogue between tacit and explicit knowledge.
Journal ArticleDOI
Longitudinal data analysis using generalized linear models
Kung Yee Liang,Scott L. Zeger +1 more
TL;DR: In this article, an extension of generalized linear models to the analysis of longitudinal data is proposed, which gives consistent estimates of the regression parameters and of their variance under mild assumptions about the time dependence.