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Panagiotis (Panos) Adamopoulos - Emory University, Goizueta Business School. Atlanta, GA, US

Panagiotis (Panos) Adamopoulos

Associate Professor of Information Systems & Operations Management | Emory University, Goizueta Business School




Panagiotis (Panos) Adamopoulos is an Associate Professor 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 recommendations; whether specific personality characteristics can accentuate the effectiveness of 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 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), and ACM Conference on Recommender Systems (RecSys). In addition, his work has been recognized by INFORMS and AIS early career awards, Marketing Science Institute and Amazon research grants, INFORMS and ACM best paper award nominations, teaching commendations, and various other grants. Panos has also served as an associate editor for MS, an organizing and program committee member for international conferences and workshops, and 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 worked as a senior Business Intelligence Engineer and Consultant with Relational S.A. and at Toyota as an Information Technology Business Analyst. Panos received his Ph.D. from the Department of Information, Operations & Management Sciences 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.

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


Machine Learning

Big Data

Data Science

Publications (1)

Select publications

Journal publications

List of selected journal publications

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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).

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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.

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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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