As an important issue in the field of open innovation, crowdsourcing for open development has been attracting the attention of both, academics and practitioners, over recent years. Online crowdsourcing platforms are of increasing importance to capture ideas how to solve societal as well as environmental issues and foster open development. This thesis contributes to the existing body of literature on motivational factors in online crowdsourcing platforms to incentivize high contribution. The findings will be supported by existing research on open innovation, crowdsourcing, social and sustainable innovation, information and communication technologies, and design principles of open innovation platforms that energize individuals to engage in innovation processes. Therefore, the method of fuzzy-set Qualitative Comparative Analysis (fsQCA) is used to conduct systematic cross-case comparisons of 23 innovation challenges hosted on the openIDEO online innovation platform. Implications about combinations of design parameters that trigger high participation of users are given. This thesis exhibits valuable insights about the adjustment of design parameters to the goal setting of the innovation challenge.