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个人简介
Panos' research program studies how information systems and technological artifacts affect the 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; what is the business value of Internet-of-Things (IoT) in retail for different types of products; whether specific personality characteristics can accentuate or attenuate the effectiveness of word-of-mouth (WOM) in social media. 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.
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论文共 48 篇作者统计合作学者相似作者
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Information Systems Research (2023)
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INFORMATION SYSTEMS RESEARCHno. 4 (2023): 1533-1553
MIS QUARTERLYno. 2 (2023): 733-770
ICIS (2022)
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SSRN Electronic Journal (2021)
user-613ea93de55422cecdace10f(2021)
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