Professor Muhanna’s current research focuses on information technology strategy, business analytics, assessing the business value of information technology, and understanding the impact of information technology, including the Internet, on organizations and markets. His other research interests include trust and reputation online, e-commerce strategy, model and database management systems, and system performance modeling and evaluation. Professor Muhanna has published numerous articles in scholarly journals, including Management Science, MIS Quarterly, Strategic Management Journal, Decision Sciences, the Journal of Information Systems, the International Journal of Accounting Information Systems, ACM Transactions on Computer Systems, IEEE Transactions on Software Engineering, Communications of the ACM, Decision Support Systems, Information & Management, European Journal of Operational Research, Computers in Human Behavior, and the Annals of Operations Research.
Professor Muhanna’s teaching and consulting activities span a number of areas, with particular emphasis on e-commerce, data management and mining, and information systems strategy. Professor Muhanna served as Vice-Chair of INFORMS' Information Systems Society, and currently serves as an Associate Editor at Management Science and on the editorial boards of other leading academic journals, including Information Technology and Management, and the International Journal of Accounting Information Systems.
Areas of Expertise
- IT Planning and Strategy
- The Economics of Information Systems
- E-Commerce and Internet Entrepreneurship
- Decision and Support Systems
- Model and Database Management Systems
- Performance Modeling and Evaluation
- Systems Analysis and Design
- PhD, University of Wisconsin, Madison
- MS, University of Wisconsin, Madison
- BS, The University of Tulsa
AMIS 4660 - Electronic Commerce
This course provides an examination of technical, managerial and strategic issues relating to the use of the Internet as a medium for commerce and an examination of the economic impact of the web and related technologies, on the creation and transformation of goods, and on organizations, industries, and markets in general.
AMIS 7640 - Data Mining for Business Intelligence
This course provides a theoretical and applied understanding of core business intelligence and data mining concepts and techniques for building descriptive and predictive models and discovering patterns in data. Topics and related methods discussed include information retrieval and enterprise reporting, classification, predictive modeling, clustering, association rules mining, and social network analysis. The application of these methods is illustrated using modern software tools via examples, homework assignments and group term projects.