A5005670302- Open Source Software Innovations
- Digital Marketing and Social Media
- Knowledge Management and Sharing
- Mobile Crowdsensing and Crowdsourcing
- Olfactory and Sensory Function Studies
- Indoor Air Quality and Microbial Exposure
- Color perception and design
- Advanced Text Analysis Techniques
- Wikis in Education and Collaboration
- Digital Communication and Language
- Sensory Analysis and Statistical Methods
- Multisensory perception and integration
Norwegian University of Life Sciences
2017-2018
Fafo Foundation
2017-2018
Nofima
2014-2018
Aarhus University
2014
Online communities are attractive sources of ideas relevant for new product development and innovation. However, making sense the ‘big data’ in these is a complex analytical task. A systematic way dealing with data needed to exploit their potential boosting companies' innovation performance. We propose method analysing online community special focus on identifying ideas. employ research design where two human raters classified 3,000 texts extracted from an community, according whether text...
Online communities can be an attractive source of ideas for product and process innovations. However, innovative user‐contributed may few. From a perspective harnessing “big data” inbound open innovation, the detection good in online is problem detecting rare events. Recent advances text analytics machine learning have made it possible to screen vast amounts information automatically detect ideas. still uncertain whether identified by such systems will also regarded as sufficiently novel,...