Short Bio
Panagiotis (Panos) Adamopoulos is an Associate Professor of Information Systems at the Goizueta Business School of
Emory University.
Panos' research program studies how information systems and technological artifacts affect user behavior and transform business and society. His research focuses on personalization, mobile and social commerce, and online education. Some of the main research questions his recent papers address include how to alleviate the over-specialization and concentration bias problems of personalization techniques (e.g., “filter bubbles”); what is the effectiveness of the different types of mobile recommendations; whether specific personality characteristics can accentuate or attenuate the effectiveness of word-of-mouth (WOM) in social media; and how to design better massive open online courses (MOOCs) for students. Much of this research is grounded in big data employing data science and machine-learning techniques to leverage the abundance of unstructured data in social media, while combining these approaches with more conventional econometric and other quantitative methods as well as experimental research designs.
His research has appeared in peer-reviewed academic journals and conferences, including Management Science (MS), Information Systems Research (ISR), MIS Quarterly (MISQ), ACM Transactions on Intelligent Systems and Technology (ACM TIST), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), AIS International Conference on Information Systems (ICIS), and ACM Conference on Recommender Systems (RecSys). In addition, his work has been recognized by INFORMS young scholar and AIS early career awards, Marketing Science Institute, Wharton Customer Analytics Initiative and Amazon research grants, INFORMS and ACM best paper award nominations, teaching commendations and a variety of other grants. Panos has also served as an associate editor for MS and an organizing and program committee member for international conferences and workshops as well as a reviewer for several scholarly journals and conferences. He has been recognized for the above service with best reviewer awards and nominations.
Before joining academia, Panos Adamopoulos worked as a senior Business Intelligence Engineer and Consultant with Relational S.A. and in Toyota as an Information Technology Business Analyst. Panos received his Ph.D. from the Department of Information, Operations & Management Sciences (IOMS) of the Stern School of Business of New York University and his B.Sc. from the Department of Management Science and Technology of the Athens University of Economics and Business, where he achieved the 2nd ranking in the history of the department.
Panos' research program studies how information systems and technological artifacts affect user behavior and transform business and society. His research focuses on personalization, mobile and social commerce, and online education. Some of the main research questions his recent papers address include how to alleviate the over-specialization and concentration bias problems of personalization techniques (e.g., “filter bubbles”); what is the effectiveness of the different types of mobile recommendations; whether specific personality characteristics can accentuate or attenuate the effectiveness of word-of-mouth (WOM) in social media; and how to design better massive open online courses (MOOCs) for students. Much of this research is grounded in big data employing data science and machine-learning techniques to leverage the abundance of unstructured data in social media, while combining these approaches with more conventional econometric and other quantitative methods as well as experimental research designs.
His research has appeared in peer-reviewed academic journals and conferences, including Management Science (MS), Information Systems Research (ISR), MIS Quarterly (MISQ), ACM Transactions on Intelligent Systems and Technology (ACM TIST), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), AIS International Conference on Information Systems (ICIS), and ACM Conference on Recommender Systems (RecSys). In addition, his work has been recognized by INFORMS young scholar and AIS early career awards, Marketing Science Institute, Wharton Customer Analytics Initiative and Amazon research grants, INFORMS and ACM best paper award nominations, teaching commendations and a variety of other grants. Panos has also served as an associate editor for MS and an organizing and program committee member for international conferences and workshops as well as a reviewer for several scholarly journals and conferences. He has been recognized for the above service with best reviewer awards and nominations.
Before joining academia, Panos Adamopoulos worked as a senior Business Intelligence Engineer and Consultant with Relational S.A. and in Toyota as an Information Technology Business Analyst. Panos received his Ph.D. from the Department of Information, Operations & Management Sciences (IOMS) of the Stern School of Business of New York University and his B.Sc. from the Department of Management Science and Technology of the Athens University of Economics and Business, where he achieved the 2nd ranking in the history of the department.