University of Charleston
Contact Info

Associate Professor, Business Analytics, IS & Applied Artificial Intelligence

Jim Samuel is a business analytics and applied artificial intelligence Professor at the School of Business & Leadership, University of Charleston. His primary research covers textual analytics, applied machine learning, evolving applications and implications of artificial intelligence, behavioral financial analytics and human behavior in electronic markets. His research extends to education and innovation, women in advanced technologies, AI bias and equivocality in human intelligence.  Jim also serves as data scientist and management consultant on big data, analytics, AI innovation and information strategy initiatives, and as advisory CIO at Axivest. He holds M.Arch, M.B.A (International Finance) and Ph.D. (CIS) degrees.

Prof. Samuel’s vision is to make Business Analytics & Applied AI learning valuable, fun and meaningful!

You can find Jim on Twitter:   

Ph.D. in Business ~ Information Systems, Baruch College (AACSB) – City University of New York.

MBA in International Finance, Thunderbird – Arizona State University

  • Samuel, J. (2017). Information Token Driven Machine Learning For Electronic Markets: Performance Effects In Behavioral Financial Big Data Analytics. Journal of Information Systems and Technology Management, 14(3).
  • Samuel, J., Holowczak, R., & Pelaez, A., (2017). The Effects of Technology Driven Information Categories on Performance in Electronic Trading Markets. Journal of Information Technology Management
  • Samuel, J., Myles, R. & Kashyap, R., (2019). That Message Went Viral?! Exploratory Analytics and Sentiment Analysis into the Propagation of Tweets. In 2019 Annual Proceedings of Northeast Decision Sciences Institute (NEDSI) Conference, Philadelphia, USA.
  • Samuel, Y., George, J. & Samuel, J., (2018). Beyond STEM, How Can Women Engage Big Data, Analytics, Robotics And Artificial Intelligence? An Exploratory Analysis Of Confidence And Educational Factors In The Emerging Technology Waves Influencing The Role Of, And Impact Upon, Women. In 2018 Annual Proceedings of Northeast Decision Sciences Institute (NEDSI) Conference, Rhode Island, USA. [Won the David M Levine best paper award]
  • Myles, G., Samuel, J. & Kashyap, R., (2019). The Bayesian Optimization Algorithm: Why OR Should Adopt It! POMS Annual Conference Washington DC, DC, United States May 3, 2019.
  • Conner, C., Samuel, J., Kretinin, A., Samuel, Y. & Nadeau, L. (2019). A Picture for The Words! Textual Visualization in Big Data Analytics, 46th NBEA Annual conference proceedings (Accepted).
  • Kretinin, A., Samuel, J., & Kashyap, R. (2019). Do Family Firms Prefer Global Intensity to Global Reach? An Analysis of the Role of Geographical and Cultural Distances Upon Internationalization of Family Firms. Journal of Business and Economic Studies, 23(1), 55-72.
  • Samuel, J. & Pelaez, A., (2017). Informatics in Information Richness: A Market Mover? An Examination of Information Richness in Electronic Markets. In the Proceedings of The 8th International Conference on Society and Information Technologies, ICSIT, Orlando, Florida, International Institute of Informatics and Systemics.
  • Samuel, J., Holowczak, R., Benbunan-Fich, R., Levine, I. (2014). Automating Discovery of Dominance in Synchronous Computer-Mediated Communication (pp. 1804-1812). 47th Hawaii International Conference on System Sciences.
  • Samuel, J. (2013). An Exploratory Study on the Impact of Information Systems and Information management Upon Self-Efficacy. New York, NY: Proceedings of the 24th Annual Conference of the International information Management Association.
  • Samuel, J., Samuel, Y. (2013). Constructions and Deconstructions of Innovation in Education. Proceedings of the 2013 Northeast Decision Sciences Institute Conference.
  • Samuel, J. (2013). A Conceptual Investigation: Towards an Integrative Perspective of Risks in Information Systems Development & Usage. Albany, New York: 8th Annual Symposium on Information Assurance.