Atish Sinha

Atish P. Sinha

  • Area Chair & Professor, Information Technology Management
  • Director, Center for Technology Innovation


PhD, Artificial Intelligence, University of Pittsburgh
M.Tech, Computer Science, University of Calcutta, India
BSc, Physics, University of Calcutta, India

Areas of Expertise

Dr. Sinha specializes in the areas of AI & machine learning, business intelligence & analytics, and connected systems. His current research interests are in business analytics, online reviews, predictive data mining, ontology modeling, healthcare coordination, healthcare informatics, and hospital readmissions. He has developed and taught new courses in AI, business intelligence, data warehousing, IT for strategic enterprise management, and service-oriented business systems. He has also developed and offered doctoral seminars in business analytics, data mining, text mining, and design science research. He led the development of the online Graduate Certificate in Business Analytics offered by the Lubar School. He is also one of the key faculty members involved in the Graduate Certificate in ERP.

Dr. Sinha is the Director of the Center for Technology Innovation, which is an academia-business collaboration that serves as a knowledge resource for partner companies and IT professionals in Milwaukee and the southeastern Wisconsin region. He also served as a core member of the Connected Systems Institute which is a new, multi-disciplinary institute where faculty and industry partners will conduct advanced research in industrial IoT and prepare a skilled workforce for the Factory of the Future.

Professional Activities

Dr. Sinha’s research has been published in several journals, including ACM Transactions on MIS, Communications of the ACM, Decision Support Systems, IEEE Transactions on Engineering Management, IEEE Transactions on Software Engineering, IEEE Transactions on Systems, Man, And Cybernetics, Information Systems Research, International Journal of Human-Computer Studies, Journal of AIS, Journal of Biomedical Informatics, Journal of MIS, and MIS Quarterly. He has been the recipient of several Lubar School research and teaching awards.

Dr. Sinha recently served as an Associate Editor of Information Systems Research for a special issue on Humans, Algorithms, and Augmented Intelligence, and has served in the past as Associate Editor of MIS Quarterly for special issues on Design Science Research and Business Intelligence Research. He has also served in the past as a Senior Editor for DATA BASE, and as the chair of the 16th Workshop on Information Technologies and Systems (WITS) and the 6th International Conference on Design Science Research in Information Systems and Technology (DESRIST).

Sample of Recent Publications

“Role of Navigational Ability in Website Visit Duration,” European Journal of Marketing, 53(5), 2019, 972-988.

“System Design through the Exploration of Contemporary Web Services,” ACM Transactions on Management Information Systems, 9(3), 2018.

“The Interaction Between Microblog Sentiment and Stock Returns: An Empirical Examination,” MIS Quarterly, 42(3), 2018, 895-918.

“Resolving Ambiguity in Sentiment Classification: The Role of Dependency Features,” ACM Transactions on Management Information Systems, 8(2-3), 2017.

“Providing a Window of Opportunity for Converting eStore Visitors,” Information Systems Research, 28(1), 2017, 22-32.

"An Ontological Model of the Practice Transformation Process," Journal of Biomedical Informatics, 61, June 2016, 298-318.

“The Influence of Reviewer Engagement Characteristics on Online Review Helpfulness: A Text Regression Model,” Decision Support Systems, 61, May 2014, 47-58.

“A Model of Data Warehousing Process Maturity,” IEEE Transactions on Software Engineering, 38(2), 2012, 336-353.

Service-Oriented Perspectives in Design Science Research, (Eds.), Lecture Notes in Computer Science 6629, Springer-Verlag, 2011.

“A Hybrid Attribute Selection Approach for Text Classification,” Journal of the Association for Information Systems, 11(9), 2010, 491-518.

“Tuning Data Mining Methods for Cost-Sensitive Regression: A Study in Loan Charge-Off Forecasting,” Journal of Management Information Systems, 25(3), 2009, 315-336.

“Incorporating Domain Knowledge into Data Mining Classifiers: An Application in Indirect Lending,” Decision Support Systems, 46(1), 2008, 287-299.