Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects
Georgia Institute of Technology
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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…
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2Topics & keywords
Topics
Keywords
- Perspective (graphical)
- Set (abstract data type)
- Variance (accounting)
- Multilevel model
- Proposition
- Dynamic capabilities
- Panel data
- Test (biology)
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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