Uncertainty, Innovation, and Dynamic Capabilities: An Introduction
By David J. Teece, Sohvi Leih. 2016
290 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/5e024110533adfe6d37cedb6472349a00f9a3ec9
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In Management Science and Operations Research
- Oliver Schilke
- John Krogstie
- Constance E. Helfat
- Patrick Mikalef
- Violina P. Rindova
- George Lekakos
- Maria Boura
- Songcui Hu
Citations in the corpus
- Quo Vadis, Dynamic Capabilities? A Content-Analytic Review of the Current State of Knowledge and Recommendations for Future Research (2018, background): “Consequences Outcomes of dynamic capabilities Firm-level performance Financial or competitive firm accomplishments (such as accounting profitability or competitive advantage) Desyllas and Sako (2013), Shamsie, Martin, and Miller (2009), Teece and Leih (2016) 113 (37.9”
- Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, background): “D. Teece and Leih (2016) argue that for managers in the innovation economy, the goal should be to navigate unexpected events with a minimum of disruption.”
- To Shape or Adapt: Knowledge Problems, Epistemologies, and Strategic Postures under Knightian Uncertainty (2020, background): “Fourth, because action under uncertainty involves incomplete knowledge, scholars have concluded that “what’s requiredwhen there is deep uncertainty is not optimization but entrepreneurship, exploration, learning, adaptation, and transformation” (Teece & Leih, 2016: 10).”