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1 ABHIJEET GHOSHAL / EDUCATION The University of Texas at Dallas, Richardson, TX August 2011 Ph.D., in Management Information Systems Indian Institute of Technology, BHU, Varanasi, India July 2002 Bachelor of Technology in Mechanical Engineering ACADEMIC APPOINTMENTS Assistant Professor Aug 2015 present University of Louisville, Louisville, KY Post-doctoral Research Associate Aug 2013 July 2015 University of Illinois - Urbana Champaign, Champaign, IL Senior Lecturer Aug 2011 June 2013 University of Minnesota, Minneapolis, MN AREAS OF INTEREST Research: Recommender system design and economic analysis, Data mining, Business Analytics, and Economics of Information Systems. Teaching: Business Intelligence/Business Analytics, Introduction to Management Information Systems, Database Management Systems, Programming languages (Visual Basic, Java, C#). METHODOLOGIES OF INTEREST Data mining, Machine Learning, Game Theory, Econometric Analysis, Simulation, Optimal Control Theory, Deterministic Models in Operations Research. RESEARCH PAPERS & BOOK CHAPTER Ghoshal, A., Lahiri, A., and Dey, D Drawing a Line in the Sand: Commitment Problem in Ending Software Support Management Information Systems-Quarterly, 41(4), pp Ghoshal, A., Menon, S., and Sarkar, S Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach, Information Systems Research, 26(3), pp Ghoshal, A., Kumar, S., and Mookerjee, V.S Impact of Recommender System on Competition between Personalizing and Non-Personalizing Firms, Journal of Management Information Systems, 31(4), pp
2 Ghoshal, A. and Sarkar, S Association Rules for Recommendations with Multiple Items, INFORMS Journal on Computing, 26(3), pp Book Chapter: Dutta, K., Ghoshal, A., and Kumar, S The Interdependence of Big Data Analytics and Operations Management, The Routledge Companion to Production and Operations Management. TEACHING EXPERIENCE Instructor University of Louisville, Kentucky CIS 199 Software Development 1 (Visual C# Programming) Instructor University of Illinois, Urbana Champaign BADM 453: Decision Support System, An undergraduate course taught with full responsibility BADM 557: Decision Support and Knowledge Management A graduate level course taught with full responsibility Instructor - University of Minnesota, Minneapolis IDSC 6421: Financial Information Systems and Technologies, An MBA elective taught with full responsibility IDSC 3102: Intermediate Programming, An undergraduate course for Programming in Visual Basic taught with full responsibility IDSC 4204W: Information Services Management, An undergraduate writing intensive course taught with full responsibility Instructor - The University of Texas at Dallas BA4318: Programming in Visual Basic, An undergraduate business elective taught with full responsibility BA3351: Introduction to Management Information Systems, An undergraduate business core taught with full responsibility Teaching Assistant - The University of Texas at Dallas Graduate courses: Database Management System, Information Technology and MIS Fundamentals, Programming in Java. Undergraduate courses: Introduction to Management Information Systems, Database Management System. PAPERS IN REFEREED CONFERENCES Security Circumvention: To Educate or To Enforce? Dey, D., Ghoshal, A., and Lahiri, A. Hawaii International Conference on System Sciences,
3 Hiding Sensitive Information Prior to Sharing Distributed Transactional Databases. Ghoshal, A., Hao, J., Menon, S., and Sarkar, S. INFORMS Workshop on Data Science, 2017, Houston, TX. Extending Software Support: The Commitment Problem Underneath. A. Ghoshal, A. Lahiri, and D. Dey, Workshop on Information Systems Economics (WISE) 2015, Dallas, TX. The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption. A. Ghoshal, E. Larson, R. Subramanyam, and M. J. Shaw, Academy of Management Conference 2015, Vancouver, Canada. Locking Effects of Recommender Systems: A Competitive Analysis. A. Ghoshal, S. Kumar, and V.S. Mookerjee, Workshop of Information Technologies and Systems (WITS) 2014, Auckland, NZ (nominated for Best Paper Award). The Impact of Business Analytics Strategy on Social, Mobile, and Cloud Computing Adoption. A. Ghoshal, E. Larson, R. Subramanyam, and M. J. Shaw, International Conference on Information Systems (ICIS) 2014, Auckland, NZ. Data Sharing between Personalizing and Non-Personalizing Firms. A. Ghoshal, S. Kumar, and V. S. Mookerjee, Conference on Information Systems and Technology (CIST) 2014, San Francisco, CA. Allocating Shared Resources Optimally for Call Center Operations and Knowledge Management Activities. A. Ghoshal, A. Gupta, and M. Subramani. International Conference on Information Systems (ICIS) 2012, Orlando, Florida. Sponsored Search: The Sum is Larger than its Parts. A. Ghoshal, S. Menon, S. Sarkar, and P. Atahan. Workshop on Information Technologies and Systems (WITS) 2011, Charlotte, North Carolina. Locking Effects of Recommender Systems: Impact of Data Sharing. A. Ghoshal, S. Kumar, and V. S. Mookerjee. Workshop on Information Technologies and Systems (WITS) 2010, St. Louis, Missouri. Do Recommender Systems Always Benefit Firms by Reducing Consumer Search Effort? A. Ghoshal, V. S. Mookerjee, and S. Sarkar. International Conference on Information Systems (ICIS) 2009, Phoenix, Arizona. and S. Sarkar. Workshop on Information Technologies and Systems (WITS) 2009, Phoenix, Arizona. Mining Association Rules with Disjunctions in Consequents. A. Ghoshal and S. Sarkar. Conference on Information Systems and Technology (CIST) 2008, Washington DC. 3
4 CONFERENCE PRESENTATIONS: REFEREED and S. Sarkar. 4 th International Conference on Design Science Research in Information Systems and Technology, Bala Ramesh and Jan Pries-Heje, Eds., May 7-8, 2009, Philadelphia, Pennsylvania. OTHER CONFERENCE PRESENTATIONS Recommender System and Cross-selling: Monopoly and Duopoly. Ghoshal, V. S. Mookerjee, and S. Sarkar. INFORMS Annual Meeting, October 22-25, 2017, Houston, TX. An Economic Analysis of the Impact of Recommender Systems on Product Search. A. Ghoshal, V. S. Mookerjee, and S. Sarkar. INFORMS Annual Meeting, November 13-16, 2016, Nashville, TN. Cross the Line in the Sand? Extending Support for Older Versions of Software. A. Ghoshal, A. Lahiri, and D. Dey. INFORMS Annual Meeting, November 1-4, 2015, Philadelphia, PA. Opportunistic Data Sharing between Personalizing and Non-personalizing Firms. A. Ghoshal, S. Kumar, and V. Mookerjee, INFORMS Annual Meeting, November 9-12, 2014, San Francisco, CA. Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach. A. Ghoshal, S. Menon, and S. Sarkar. POMS 2014, May 9-12, 2014, Atlanta, GA. Economic Impact of Recommender Systems on Firms and Customers. A. Ghoshal, V. S. Mookerjee, and S. Sarkar. INFORMS Annual Meeting, October 6-9, 2013, Minneapolis, MN. Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach. A. Ghoshal, S. Menon, and S. Sarkar. INFORMS Annual Meeting, October 6-9, 2013, Minneapolis, MN. Allocating Shared Resources Optimally for Call Center Operations and Knowledge Management Activities. A. Ghoshal, A. Gupta, and M. Subramani. INFORMS Annual Meeting, October 14-17, 2012, Phoenix, Arizona. Locking Effects of Recommender Systems: A Competitive Analysis. A. Ghoshal, S. Kumar, and V. S. Mookerjee. INFORMS Annual Meeting, November 13-16, 2011, Charlotte, North Carolina. A Framework for Personalized Sponsored Search. A. Ghoshal, S. Menon, S. Sarkar, and P. Atahan. INFORMS Annual Meeting, November 13-16, 2011, Charlotte, North Carolina. 4
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