- Snead Hall
- 301 W. Main Street
- Box 844000
- Richmond, VA, 23284-4000
- Office: B4113
Professor in the Department of Information Systems. Prior to joining VCU she held faculty positions at the University of Maryland Baltimore County and Missouri State University. Her primary research interests have been in the application of Artificial Intelligence (AI) to business decision making in organizations and the managerial issues of such technology. She has published many articles in leading journals such as MIS Quarterly, Decision Support Systems, Communications of the ACM, Journal of Management Information Systems, Information and Management, and Journal of Operation Research Society. She is the recipient of the VCU School of Business 2016 Faculty Award of Excellence. This award recognizes a faculty member who has demonstrated outstanding accomplishments in teaching, research and service. She is a senior editor of Decision Support Systems and is a Program Co-Chair for the 2017 Workshop on Information Technology and Systems.
Awards and Honors
- Dean's Scholar Professorship, VCU School of Business. (January, 2018).
- Award of Excellence, VCU School of Business. (April 15, 2016).
Published Intellectual Contributions
- Wimmer, H., Yoon, V. Y., (2017). Counterfeit product detection: Bridging the gap between design science and behavioral science in information systems research. (vol. 104, pp.1-12). Decision Support Systems. DOI: https://doi.org/10.1016/j.dss.2017.09.005
- Etudo, U. O., Yoon, V. Y., Liu, D. (2017). Financial Concept Element Mapper (FinCEM) for XBRL interoperability: Utilizing the M3 Plus method. (vol. 98, pp.36-48). Richmond: Decision Support Systems. DOI: https://doi.org/10.1016/j.dss.2017.04.006
- Wimmer, H., Yoon, V. Y., Sugumaran, V. (2016). A Multi-Agent System to Support Evidence Based Medicine and Clinical Decision Making via Data Sharing and Data Privacy. (vol. 88, pp.51-66). Elsevier: Decision Support Systems. DOI: https://doi.org/10.1016/j.dss.2016.05.008
- Narock, T., Yoon, V. Y. (2015). An agent-based approach for capturing and linking Provenance in Geoscience Workflows. (vol. 79, pp.58-68). Elsevier: Computers and Geosciences. DOI: 10.1016/j.cageo.2015.03.004