Businesses today are faced with rapidly changing environments and an unknown level ofuncertainty. Thus, the reliability of traditional knowledge decreases and experimentation and the testing of hypotheses become more crucial. Questions such as „Does the market prefer prototype A or B?“, “How does our next product look like?” or “Which of our numerous product ideas should we pursue?” require hypotheses and tests which on the one hand can be done with relatively low effort but at the same time allow interference to the real world challenges.
This course intends to stress the connection between challenges from the practice and scientific methods by teaching how to consolidate managers’ ideas and scientific rigor incarrying out an innovation challenge. Students will learn how to apply aspecific form of open innovation, namely crowdsourcing, in a real life project. On the basis of one external partners’ current challenge, students will independently draft a crowdsourcing competition. All students will work in sub-teams on one project, which is introducedby the cooperating company. Theoretical input on how to set up and execute crowdsourcing projects as well as appropriate methods to analyze data will beprovided. During the semester the designed crowdsourcing challenge is executed, meaning that primary data is collected and analyzed.