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Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects

Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects Following the dynamic capabilities perspective, we suggest that antecedents to innovation can be found at the individual, firm, and network levels. Thus, we challenge two assumptions common in prior research: (1) that significant variance exists at the focal level of analysis, whereas other levels of analysis are assumed to be homogeneous, and (2) that the focal level of analysis is independent from other levels of analysis. Accordingly, we advance a set of hypotheses to simultaneously assess the direct effects of antecedents at the individual, firm, and network levels on innovation output. We then investigate whether a firm's antecedents to innovation lie across different levels. To accomplish this, we propose two competing interaction hypotheses. We juxtapose the hypothesis that the individual-, firm-, and network-level antecedents to innovation are substitutes versus the proposition that these innovation mechanisms are complements. We test our multilevel theoretical model using an unusually comprehensive and detailed panel data set that documents the innovation attempts of global pharmaceutical companies within biotechnology over a 22-year time period (19802001). We find evidence that the antecedents to innovation lie across different levels of analysis and can have compensating or reinforcing effects on firm-level innovative output. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Organization Science INFORMS

Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects

Organization Science , Volume 18 (6): 24 – Dec 1, 2007
24 pages

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References (136)

Publisher
INFORMS
Copyright
Copyright © INFORMS
Subject
Research Article
ISSN
1047-7039
eISSN
1526-5455
DOI
10.1287/orsc.1070.0291
Publisher site
See Article on Publisher Site

Abstract

Following the dynamic capabilities perspective, we suggest that antecedents to innovation can be found at the individual, firm, and network levels. Thus, we challenge two assumptions common in prior research: (1) that significant variance exists at the focal level of analysis, whereas other levels of analysis are assumed to be homogeneous, and (2) that the focal level of analysis is independent from other levels of analysis. Accordingly, we advance a set of hypotheses to simultaneously assess the direct effects of antecedents at the individual, firm, and network levels on innovation output. We then investigate whether a firm's antecedents to innovation lie across different levels. To accomplish this, we propose two competing interaction hypotheses. We juxtapose the hypothesis that the individual-, firm-, and network-level antecedents to innovation are substitutes versus the proposition that these innovation mechanisms are complements. We test our multilevel theoretical model using an unusually comprehensive and detailed panel data set that documents the innovation attempts of global pharmaceutical companies within biotechnology over a 22-year time period (19802001). We find evidence that the antecedents to innovation lie across different levels of analysis and can have compensating or reinforcing effects on firm-level innovative output.

Journal

Organization ScienceINFORMS

Published: Dec 1, 2007

Keywords: Keywords : dynamic capabilities ; organizational learning ; innovation ; multilevel theory ; longitudinal panel data ; pharmaceutical and biotechnology industries

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