Panagiotis (Panos) Adamopoulos
Associate Professor of Information Systems & Operations Management | Emory University, Goizueta Business School
Atlanta, GA, UNITED STATES
Links (5)
Biography
Panagiotis (Panos) Adamopoulos is the Goizueta Foundation Term Chair Associate Professor of Information Systems at the Goizueta Business School of Emory University.
Panos' research program studies how information systems and digital technologies shape user behavior and transform businesses and society. His research focuses on personalization, mobile and social commerce, and online education. Recent projects examine the influence of fake reviews on recommender systems and strategies to mitigate their effects; how to alleviate the over-specialization and concentration bias of personalization techniques (e.g., filter bubbles); the effectiveness of various types of mobile recommendations; the role of personality traits in shaping the influence of social media word-of-mouth (WOM); and how to design better massive open online courses (MOOCs). Much of this research is grounded in big data employing data science and machine-learning techniques to leverage the abundance of unstructured data, while integrating these methods with more conventional econometric analysis as well as experimental research designs.
His research has been published in top peer-reviewed outlets, including Management Science, Information Systems Research, MIS Quarterly, Production and Operations Management, ACM Transactions on Intelligent Systems and Technology, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, and ACM Conference on Recommender Systems. In addition, his work has received multiple honors, including INFORMS and AIS mid-career, young scholar, and early career awards, Marketing Science Institute, 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 associate editor and reviewer awards and nominations.
Before academia, Panos worked as a senior Business Intelligence Engineer and Consultant at Relational S.A. and as an Information Technology Business Analyst at Toyota. He holds a Ph.D. from the Stern School of Business of New York University and a B.Sc. from the Department of Management Science and Technology of the Athens University of Economics and Business, where he graduated 2nd in the department’s history.
Education (3)
New York University, Leonard N. Stern School of Business: PhD in Information Systems
Department of Information, Operations and Management Sciences
New York University, Leonard N. Stern School of Business: MPhil in Information Systems
Department of Information, Operations and Management Sciences
Athens University of Economics and Business, Greece: BSc in Information Systems and E-Business
Department of Management Science and Technology
Areas of Expertise (10)
Social Media
Information Systems
Recommender Systems
Social Commerce
Word of Mouth
Internet of Things
Econometrics
Machine Learning
Big Data
Data Science
Publications (1)
Research Spotlight
In the News (3)
How Will the Internet of Things Affect Retailing?
Marketing Science Institute
To determine how an IoT channel might affect sales and what types of products will benefit most, Panagiotis Adamopoulos, Vilma Todri and Anindya Ghose analyze data from an online retailer that added an IoT channel for a wide range of different products in different geographic markets and at different times over a two-year period. The price of the products was the same across all the available selling channels and there was no additional cost to consumers for utilizing the IoT channel. Taking advantage of the variability in this “natural quasi-experiment” they compare sales for products available through the IoT channel (treatment) versus other similar or substitute products (controls).
Estimating the Impact of User Personality Traits on Electronic Word-of-Mouth: Text-mining Social Media Platforms
Marketing Science Institute
As users share opinions, choices, and decisions on social media, nurturing positive online word of mouth is a critical aim of marketing activity. In this report, Panos Adamopoulos, Anindya Ghose, and Vilma Todri examine whether personality traits of social media users attenuate or accentuate the effectiveness of WOM. Specifically, using recent advancements in big data and machine-learning techniques to extract information from unstructured textual content, they examine whether and how latent personality characteristics of a user affect purchases of actual products.
Why Companies Invest in Local Social Media Influencers
American Marketing Association
Companies seek local influencers to pitch products. Even though most influencers amass geographically dispersed followings on social media, companies are willing to funnel billions of sponsorship dollars to multiple influencers located in different geographic areas, effectively creating sponsorships that span cities, countries, and in some cases even, the globe. The desire to work with local influencers has spawned advertising agencies that specialize in connecting companies with influencers and may soon redefine the influencer economy. To investigate whether geographical distance still matters when word of mouth is disseminated online, our research team examined thousands of actual purchases made on Twitter.
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