How Big Data & Analytics and Innovation Management Fit Together - Research Opportunities of Mutual Application
Le jeudi 17 août 2017, de 13 h à 13 h 45
Cet événement se déroulera en anglais seulement.
(Networking to follow 2 to 3 pm)
Professor of Business Information Systems at Chemnitz University of Technology,
Modern big data & analytics technologies and methods lead to manifold opportunities for innovative use cases and business models. Although organizations have started to establish appropriate technical and organizational infrastructures (e.g. big data labs), they still need advice how to benefit best from such investments – in particular, if the big data activities should not only result in the optimization of existing applications and processes, but in true data-driven innovation.
The talk will provide an overview how the fields of big data & analytics and of innovation management converge, resulting in many challenging research questions. Following a framework with origins in the Service Dominant Logic, I will present the potential mutual usage and impact of both fields. My current research covers some of those aspects, in particular the role of open data and of open innovation for data-driven innovation, illustrated by a research project in the field of open innovation for e-mobility. In addition, recent research on how to teach data driven innovation will be presented.
Finally, I will briefly talk about two upcoming research projects, one applying big data & analytics in mass customization, the other in digital manufacturing.
Barbara Dinter is a Professor of Business Information Systems at Chemnitz University of Technology, Germany. She holds a Ph.D. from the Technische Universität Muenchen, Germany, where she previously earned a master's degree in computer science. Barbara worked for several years at University of St. Gallen, Switzerland as a Post-Doc and project manager. In her role as an IT consultant, she worked with a variety of organizations. Her research interests include business intelligence and analytics, big data, data driven innovation, and information management. She has published in renowned journals such as Decision Support Systems, Journal of Database Management, and Journal of Decision Systems and has presented her work on conferences such as ICIS, ECIS, and HICSS. In addition, she has served as a track chair or associate editor for numerous international conferences and as a guest editor in journals.
Her current research focuses on the following topics:
- The role of open data and of open innovation for data driven innovation
- Teaching data driven innovation
- Big data management
- Digital manufacturing and big data / analytics
- Business Intelligence
- Design science research
To register for the presentation, contact Angela Tyler at firstname.lastname@example.orgOttawa.ca.
- Date :
- Le jeudi 17 août 2017
- Heure :
- de 13 h à 13 h 45
- Lieu :
- École de gestion Telfer
55, avenue Laurier Est
Ottawa (Ontario) K1N 6N5
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