
Abstract Disruptive changes (e.g. new technologies, services, and business models) present a variety of opportunities and risks for companies. They can contribute significantly not only to economic success but also to greater sustainability. Nevertheless, it is not a trivial task for established companies to recognize the potential of disruptive changes and to implement innovations in time. In this context, foresight and openness are proposed as promising approaches. This paper investigates the collaborative open foresight approach for inspiring discontinuous and sustainability-oriented innovations. The results of a longitudinal case study involving two companies show that the participants especially value that collaborative open foresight (1) fosters out-of-the-box thinking (2) supports breaking away from path dependency, and (3) increases the potential of innovations. Most importantly, the joint discussion and analysis of future developments (4) help to generate new insights regarding the opportunities and risks of the disruptive changes identified as well as their potential for discontinuous and sustainability-oriented innovations. It was particularly noteworthy that both companies recognized a significant value-added of collaborative open foresight compared to their previous foresight projects, so far conducted individually, but only one of the two companies could transfer the project's outcome to innovation projects.
| 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). | 56 | |
| 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% |
