Research

Research

Pamplin College’s Center for Business Analytics (CBA) serves as an interdisciplinary resource to support faculty research both within the College and in cooperation with other Centers and academic units on campus, curricular initiatives for students with interests in business intelligence and analytics, and outreach to the Virginia business community. CBA research focuses on the application of systematic analysis (both quantitative and qualitative) to vast collections of business data in order to leverage it for business planning and decision making. Let us know if your research should be included in this list →

Recent Research:

• Seref, M. M., Seref, O., Abrahams, A., Hill, S. B., Warnick, Q. (2023) Rhetoric Mining: A New Text-Analytics Approach for Quantifying Persuasion. INFORMS Journal on Data Science 0(0). Link to article →
• Huang, L., Abrahams, A., & Ractham, P. (2022). Enhanced financial fraud detection using cost‐sensitive cascade forest with missing value imputation. Intelligent Systems in Accounting, Finance and Management, 29(3), 133-155. Link to article →
• Goldberg, D. M., Khan, S., Zaman, N., Gruss, R. J., & Abrahams, A. S. (2022). Text mining approaches for postmarket food safety surveillance using online media. Risk Analysis, 42(8), 1749-1768. Link to article →
• Zaman, N., Goldberg, D. M., Gruss, R. J., Abrahams, A. S., Srisawas, S., Ractham, P., & Seref, M. M. (2021). Cross-category defect discovery from online reviews: Supplementing sentiment with category-specific semantics. Information Systems Frontiers, 1-21. Link to article →
• Li, Y., Zobel, C. W., Seref, O., & Chatfield, D. (2020). Network characteristics and supply chain resilience under conditions of risk propagation. International Journal of Production Economics, 223, 107529. Link to article →
• Panagopoulos, O. P., Xanthopoulos, P., Razzaghi, T., & Seref, O. (2019). Relaxed support vector regression. Annals of Operations Research, 276(1), 191-210. Link to article →
  
• Seref, M. M., & Seref, O. (2019). Rhetoric Mining for Fake News: Identifying Moves of Persuasion and Disinformation. In Proceedings of the Americas Conference on Information Systems. Association for Information Systems, Cancún, 2019. Link to article →
• Perez, M. A., Sudweeks, J. D., Sears, E., Antin, J., Lee, S., Hankey, J. M., & Dingus, T. A. (2017). Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data. Accident Analysis & Prevention, 103, 10-19. Link to article →