
handle: 10419/313812
Innovation shocks combine technology and market disruptions. They can lead to a complete overhaul of an industry. Building on prior work on firm‐level responses to technological uncertainty, we propose and explore a model to explain R&D behavior under uncertainty. We theorize that industry incumbents adjust their knowledge search as the innovation shock unfolds, reacting to the perceived sources of uncertainty. We use a unique combination of two decades (2000–2020) of patent data and archival news to (1) identify the industry evolution stages as the shock unfolds and (2) map the firm's knowledge search response. Our analysis of three leading car manufacturers exposed to the emergence of the electric vehicle shows the path‐dependency effects that delay the incumbents’ adjustment of their innovation direction, even after the shock becomes visible. We extract insights for R&D managers by making evident the long‐lasting effects of prior R&D decisions, impeding their reaction to a shock and reducing their capability to integrate newly available knowledge.
ddc:650, 650
ddc:650, 650
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
