Broadcast search via open innovation intermediaries : multi-method research on organizational success factors
- Broadcast-Search mit Hilfe von Open-Innovation-Intermediären : Multi-Methoden-Untersuchung von organisatorischen Erfolgsfaktoren
Zynga, Andreas Michael; Piller, Frank Thomas (Thesis advisor); Roijakkers, Nadine (Thesis advisor)
Aachen : Publikationsserver der RWTH Aachen University (2015)
Dissertation / PhD Thesis
Aachen, Techn. Hochsch., Diss., 2015
Open Innovation is the practice of solving technical needs by accessing networks of solution providers external to the innovating organization as part of the innovation process. Many organizations use “Open Innovation Intermediaries” to gain access to such external networks. Some “Innovation Seekers” are more successful than others in working with Intermediaries to use the knowledge and solutions found through a process of broadcasting a technical need to a network of solution providers who respond with solution proposals (this process is known as “Broadcast Search”). There is a research gap in identifying the specific organizational capabilities, and particularly their sequence of adoption at the innovation seeking company when going from “no open innovation” to “intensive use of open innovation”. There is also a clear gap in the research on intermediaries and their role in the overall success of broadcast search. The goal of this thesis is to close this gap by identifying the variables of success and by providing a framework to implement open innovation, more specifically, the intermediated broadcast search method, with higher rates of success. To that end, we carry out multi-method research in three parts, whereby in part 1 we identify specific actions that innovating companies that are using intermediated broadcast search take in order to improve their success, This is done through a survey and interviews with clients of NineSigma, an open innovation intermediary. In part 2 we analyze the impact business model changes at NineSigma had on their two-sided market model. This is done through deep case studies. And in part 3 we conduct an empirical analysis, adopting a change management framework, in order to determine which capabilities companies build and in which sequence when going from no open innovation to successful use of open innovation.