Biography
David Schuff is Associate Professor of Management Information Systems and the Academic Director of the Fox Executive Doctorate in Business Administration. His research interests include the application of information visualization to decision support systems, data warehousing, and the impact of user-generated content on organizations and society. David’s work has appeared in numerous journals, including Management Information Systems Quarterly, Decision Support Systems, Information & Management, Communications of the ACM, IEEE Computer, AIS Transactions on Human-Computer Interaction, and Information Systems Journal.
David has taught in the BBA, MBA, and Executive MBA programs in Colombia and Japan. He teaches courses in data analytics, information systems strategy, process design and improvement, and application development. David has received the MIS Department’s teaching award several times (most recently in 2014), and in 2013 received the Lindback Award for Distinguished Teaching.
David holds a BA in Economics from the University of Pittsburgh, an MBA from Villanova University, an MS in Information Management from Arizona State University, and a Ph.D. in Business Administration from Arizona State University.
Research Interests
- Decision support
- information visualization
- social media
- user-generated content
Courses Taught
Number | Name | Level |
|---|---|---|
MIS 3406 | Cloud Architecture | Undergraduate |
Selected Publications
Recent
Schuff, D. & Shafer, J. (2021). A Three-Course Sequence for API-Based Web Development and Deployment.
Barbro, P., Mudambi, S., & Schuff, D. (2020). Do Country and Culture Influence Online Reviews? An Analysis of a Multinational Retailer’s Country-Specific Sites. Journal of International Consumer Marketing, 32(1), 1-14. doi: 10.1080/08961530.2019.1635552.
Schuff, D. & Doyle, M. (2020). Deploying APIs in the cloud: A novel approach to the MIS infrastructure course. 26th Americas Conference on Information Systems, AMCIS 2020.
Schwartz, T., Schuff, D., & Wray, M. (2019). A dynamic cyber-based view of the firm. 25th Americas Conference on Information Systems, AMCIS 2019.
Tomasi, S., Schuff, D., & Turetken, O. (2018). Understanding novelty: how task structure and tool familiarity moderate performance. Behaviour and Information Technology, 37(4), 406-418. doi: 10.1080/0144929X.2018.1441325.
Schuff, D., Corral, K., Louis, R.S., & Schymik, G. (2018). Enabling self-service BI: A methodology and a case study for a model management warehouse. Information Systems Frontiers, 20(2), 275-288. doi: 10.1007/s10796-016-9722-2.
Schuff, D. & Schwartz, T. The Cyber-Based View of the Firm. The IBIT Report.
Smith, C. & Schuff, D. (2018). The role of feedforward-enabled analytics in improving decision quality: A field study. Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018.
Schuff, D. Data Science for All: A University-Wide Course in Data Literacy. In Array, Annals of Information Systems: Analytics and Data Science: Advances in Research and Pedagogy (pp. 281-281). Springer International Publishing.
Schuff, D. (2017). Data Science for All: A University-Wide Course in Data Literacy. doi: 10.1007/978-3-319-58097-5_20.
Mudambi, S., Koeck, E., & Schuff, D. Tweets, Retweets and the Brand Positioning of the 2016 U.S. Presidential Candidates. Orlando, Florida.