
Abstract Monitoring a huge number of information sources and scanning the relevant environment are the basis for every foresight process. Since this endeavor is a complex task, it is necessary to find an efficient solution to do so. Based on foresight workshops with ‘Radar Groups’ – similar to focus groups –, Delphi studies, and netnographies of online communities, we develop a pragmatic foresight process. Since we integrate online communities as information sources in our foresight process, we call this ‘open foresight’. This open foresight process focuses upon the topic ‘Aviation 2040’ and is executed with aviation experts and an online community in two steps. This research setting enabled us to show (1) differences and similarities in future assessments and foresight capabilities between experts and online communities and (2) how to efficiently integrate online communities into foresight processes. Combining insights from experts and community members and, in doing so, moving towards ‘Open Radar Groups’ seems to be a beneficial way for conducting foresight and enriching companies' knowledge base.
| 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). | 15 | |
| 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% |
