Robert J. Kauffman
Robert J. Kauffman is Professor of Information Systems at the School of Information Systems, Singapore Management University. He also serves as Associate Dean (Faculty), and was previously Associate Dean (Research) and Deputy Director of the Living Analytics Research (LARC) there. He also was a Distinguished Visiting Fellow at the Center for Digital Strategies at the Tuck School of Business, Dartmouth College. And he served on the faculty at business schools of New York University, the University of Rochester, the University of Minnesota, and Arizona State University, where he held the W.P. Carey Chair in Information Systems. His graduate degrees are from Cornell (M.A.) and Carnegie Mellon (M.S., Ph.D). His research interests span IT and business value, economics, marketing and consumer behavior, competitive strategy and the fintech revolution, and computational social science and data analytics. His articles have appeared in Management Science, Information Systems Research, Journal of Management Information Systems, MIS Quarterly, Organization Science, and the Review of Economics and Statistics, among others. He previously contributed special issues to Decision Support Systems on ‘Market Transformation to an IT-Enabled Services-Oriented Economy’ (2015) and to the Journal of Management Information Systems on ‘The Fintech Revolution’ (late 2017). He is currently Editor in Chief of Electronic Commerce Research and Applications.
Title: Combining Machine-Based And Econometrics Methods for e-Commerce Insights
Computational Social Science (CSS) has become a mainstream approach in the empirical study of policy analytics issues in various domains of e-commerce research. This keynote presentation for ICEC is intended to represent recent advances that have been made for the discovery of new policy-related insights in business, consumer and social settings in the e-commerce domain. The approach discussed is fusion analytics, which combines machine-based methods from Computer Science (CS) and explanatory empiricism involving advanced Econometrics and Statistics. Recent developments and shifts in the scientific study of technology-related phenomena and Social Science issues in the presence of historically-large datasets prompt new forms of research inquiry. They include blended approaches to research methodology, and more interest in the production of research results that have direct application to industry contexts. Examples and illustrations from recent research will be discussed, and some conclusions will be shared related to the manner in which effective industry-based studies can be carried out.
Professor of Computer Science at the Department of Informatics, in the University of Minho (Braga, Portugal) and a researcher at the ALGORITMI Centre. From the same university he received a PhD in Computer Sciences in 2003 and his Habilitation in Computer Science in 2011.
He started his career developing scientific research in the field of Intelligent Systems/Artificial Intelligence (AI), namely in Knowledge Representation and Reasoning, Machine Learning and Multi-Agent Systems. His interest, in the last years, was absorbed by the different concepts of Ambient Intelligence, Ambient Assisted Living, Intelligent Environments, AI and Law, Conflict Resolution and the incorporation of AI methods and techniques in these fields. His main research aim is to make systems a little more smart, intelligent and also reliable.
He has leaded and participated in several research projects sponsored by Portuguese and European public and private Institutions and has supervised several PhD and MSc students. He is the co-author of over 180 book chapters, journal papers, conference and workshop papers and books.
He has been chair of the Organising or Scientific Committee of ISAmI (International Symposium on Ambient Intelligence), ESM 2011 – European Simulation and Modelling Conference, SOCO 2011 (International Conference on Soft Computing Models in Industrial and Environmental Applications) and PROVE 2007 (IFIP Working Conference on Virtual Enterprises) and member of organising committee of several others events (e.g., Pervasive Health 2011, Intelligent Environments 2011, ECAI 2010, EPIA 2007).
Title: People-Aware Systems – The challenges of a new approach
The trend of mHealth, or mobile health, emerge recently as a result of technological evolution and miniaturization and the users’ interest in monitoring and improving health and well being. Other that improving of informing about personal health, it also allows for the development of better assistive environments. Nonetheless, existing approaches are generally based on physiological sensors, which are intrusive and cannot be realistically used. This is especially true in environments in which the transparency, pervasiveness and sensitivity are of importance, such as in Ambient Intelligence and Electronic Commerce.
We put forward a new approach to the problem in which user behavioral cues are used as an input to assess the individual’s inner state. This innovative approach has been validated by research in the last years and has characteristics that may enable the development of true unobtrusive, pervasive and sensitive ambient intelligent systems. Specifically, this approach has been proven to be useful in quantifying aspects such as stress, fatigue or attention.