معرفی
Dr. Benjamin George is an Assistant Professor in the Department of Information Systems and Supply Chain Management at the University of Toledo, USA. He holds a Ph.D. in Management Science from the University of North Texas, alongside an MBA and BBA in Decision-related fields. His research focuses on text mining, operational analytics, e-commerce, and business analytics applications, with a particular interest in healthcare administration and consumer behavior analysis.
Education:
- Ph.D. in Management Science, University of North Texas (2016)
- MBA in Decision Technologies, University of North Texas (2011)
- BBA in Decision Science, University of North Texas (2009)
Research Interests: Dr. George's work explores novel applications of text mining techniques in healthcare and consumer markets, operational analytics for business decision-making, and the role of e-commerce in shaping modern consumer interactions. He has pioneered frameworks for analyzing online reviews, patient education benefits, and cultural perceptions in healthcare contexts.
Publications: His work spans over a dozen journals, including Information & Management and Decision Sciences, with a focus on topics like big data applications in accounting, healthcare service satisfaction, and consumer decision-making models. Recent trends in his publications emphasize blockchain applications, machine learning in e-commerce, and the intersection of analytics with societal phenomena like populism.
Awards: None explicitly mentioned, though his editorial role as Associate Editor for Journal of Business Analytics highlights his peer recognition.
Advising & Grants: While specific grant details are not provided, his editorial and reviewing roles across multiple journals and conferences indicate active engagement in academic governance. No advisees or formal grant data are listed in the provided text.
Labs/Teams: No specific lab affiliations are mentioned, though collaborations with peers on topics like latent semantic analysis and healthcare frameworks suggest interdisciplinary teamwork.
