PhD defence: Szymon Furtak
As digital technologies become prevalent and embedded in the environment, "smart" everyday objects like smart phones and smart homes have become part and parcel of the human enterprise. The ubiquity of smart objects, that produce ever-growing streams of data, presents both challenges and opportunities. In this dissertation, I argue that information systems extending these data streams, referred to as "predictive information systems with sensors", can generate added value and will be gaining momentum in academia and in the industry. Subsequently, seeing apparent complexity in designing IS artifacts with such functionality, I introduce a framework for Designing Information Systems with Predictive Analytics (DISPA), extending Design Science Research specifically towards rigorous design of predictive analytics.
Supervisors:
Associate Professor Rasmus Pedersen
Department of Digitalization
Copenhagen Business School
Professor MSO Michel Avital
Department of Digitalization
Copenhagen Business School
Assessment Committee:
Professor MSO Ioanna Constantiou
Department of Digitalization
Copenhagen Business School
Professor Jan Pries-Heje
Department of People and Technology
Roskilde University
Professor Jos van Hillegersberg
Industrial Engineering and Business Information Systems
University of Twente
Thesis:
Reception:
The Doctoral School of Business and Management will host a reception, which will take place immediately after the defence at Rotunden.