Download - University of Louisville

ABHIJEET GHOSHAL
Email: [email protected] / [email protected]
EDUCATION
The University of Texas at Dallas, Richardson, TX
Ph.D., in Management Information Systems
Indian Institute of Technology, BHU, Varanasi, India
Bachelor of Technology in Mechanical Engineering
August 2011
July 2002
ACADEMIC APPOINTMENTS
Assistant Professor
University of Louisville, Louisville, KY
Post-doctoral Research Associate
University of Illinois - Urbana Champaign, Champaign, IL
Senior Lecturer
University of Minnesota, Minneapolis, MN
Aug 2015 – present
Aug 2013 – July 2015
Aug 2011 – June 2013
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. Forthcoming. “Drawing a Line in the Sand: Commitment
Problem in Ending Software Support” Management Information Systems-Quarterly.
Ghoshal, A., Menon, S., and Sarkar, S. 2015. “Recommendations Using Information from
Multiple Association Rules: A Probabilistic Approach,” Information Systems Research, 26(3),
pp. 532-551.
Ghoshal, A., Kumar, S., and Mookerjee, V.S. 2015. “Impact of Recommender System on
Competition between Personalizing and Non-Personalizing Firms,” Journal of Management
Information Systems, 31(4), pp. 243-277.
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Ghoshal, A. and Sarkar, S. 2014. “Association Rules for Recommendations with Multiple
Items,” INFORMS Journal on Computing, 26(3), pp. 433-448.
Book Chapter:
Dutta, K., Ghoshal, A., and Kumar, S. 2016. The Interdependence of Big Data Analytics and
Operations Management, Routledge Companion.
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
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.
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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.
Recommendations Using Information from Multiple Association Rules. A. Ghoshal, S. Menon,
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.
CONFERENCE PRESENTATIONS: REFEREED
Recommendations Using Information from Multiple Association Rules. A. Ghoshal, S. Menon,
and S. Sarkar. 4th 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
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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 1417, 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.
Mining Association Rules with Disjunctions in Consequents. A. Ghoshal and S. Sarkar.
INFORMS Annual Meeting, October 11-14, 2009, San-Diego, California.
Recommendations Using Information from Multiple Association Rules. A. Ghoshal, S. Menon,
and S. Sarkar. Seventh Annual Big XII+ MIS Research Symposium, April 4-5, 2009, Lincoln,
Nebraska.
PROFESSIONAL SERVICES
Reviewer for Journals
 Management Science
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 Management Information Systems Quarterly
 Information Systems Research
 Production and Operations Management
 Information Technology and Management
 Information Systems Frontier
Reviewer for Conference
 International Conference in Information Systems 2014, 2015, 2016
 Pacific Asia Conference on Information Systems 2014
 Hawaii International Conference on System Sciences, 2010, 2011, 2012
 International Conference on Web Services, July 2009 (ICWS 2009)
Program Committee
 Conference on Information Systems and Technologies (CIST), 2010, 2011, and 2013 to
2016.
 Workshop of Information Systems and Technologies (WITS), 2012, and 2014 to 2016.
ASSOCIATIONS AND HONOURS
Member INFORMS, ISS, AIS
Nominated and accepted for ICIS Doctoral Consortium, 2010
Nominated and accepted for Big XII+ Doctoral Consortium, 2009
Nominated and accepted for DESRIST Doctoral Consortium, 2009
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