TECH 62100-33; Credits: 3; Wednesday 3:30 pm – 6:20 pm
Today, we live an open and collaborative innovation landscape. Innovative firms like El Lilly, P&G or GE open up their innovation models and engage with a diverse set of organizations and individuals to solve complex problems. Digital technologies have changed the fabric of organizing innovation. Individuals self-organize in open technology-enabled collectives to share data and knowledge, and to jointly create novel solutions for a bewildering array of applications. With these geographically dispersed groups the idea of open source has moved beyond open source software. These systems increasingly relate to socially significant domains such as health support or eScience. Wikipedia, Amazon review systems, science network NanoHub.Org, and CancerCare.org are just a few examples. Their emergence stimulated researchers to study their nature.
Are you a PhD student, a prospective PhD candidate, a masters student with an interest in tackling a relevant and challenging research topic? Are you excited about this emerging innovation landscape? Do you want to shape the future of innovation research? Are you thrilled to tackle interdisciplinary research questions at the interface of innovation studies, management, information systems, information studies, and computational social science? If yes, then you should sign up for the interdisciplinary doctoral research seminar offered in spring 2015 and start an intellectually inspiring journey of scientific research in Open Innovation at the intersection of innovation studies, management science, information systems, and information studies. The field is young and emerging! So be part of it and shape it.
This course is a PhD-level class preparing students for scientific research in the area of open innovation.
Key learning objectives are:
1) Gain an overview of scientific literature in the research field of open innovation
2) Develop a novel and relevant research question that will make a theoretical and practical contribution and develop a theoretical model for it
3) Select a research design, and decide upon the data (or data collection) and pilot your research idea
5) Be able to structure a scientific article to be published in a scientific journal that is of relevance for open innovation scholars