
Scholars have long been interested in new industry emergence, highlighting that it could often be impeded by uncertainty across four dimensions: technology, demand, ecosystem, and institutions. Building on the insight that uncertainty stems from partial knowledge, we develop a conceptual framework that utilizes a temporal and a process perspective for knowledge generation and aggregation. Industry emergence through key milestones—commercialization, firm takeoff, and sales takeoff—is made possible by knowledge-generation processes by diverse actors within and across uncertainty dimensions, and knowledge-aggregation processes with appending, selecting, and collective mechanisms at play. Our conceptual framework integrates across disciplinary perspectives to shed light on both the development of an industry poised for future growth, and the bottlenecks that may delay or even impede industries from emergence.
| 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). | 86 | |
| 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 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
