Conferences/Workshops

Papers in Refereed Conferences

  • How Can E-Commerce Platforms Identify “Out-of-Favor” Products? A Data Analytic Approach to System Design. Ivanov, A., Ghoshal, A., Kumar, A. Workshop on Information Technologies and Systems (WITS) 2022, Copenhagen, DK.
  • Aggregating Histograms for Machine Learning. Ghoshal, A., Menon, S., Sarkar, S. Workshop on Information Technologies and Systems (WITS) 2021, Austin, TX, USA.
  • Preserving Degree Distributions When Sampling from Networks. Ghoshal, A., Menon, S., Sarkar, S. INFORMS Workshop on Data Science, 2021, Online.
  • Aggregating Histograms for Machine Learning. Ghoshal, A., Menon, S., Sarkar, S. Workshop on Information Technologies and Systems (WITS) 2021, Austin, TX, USA.
  • Imagine It or Image It? The Effectiveness of User Generated Reviews in Pictures. Y. Kim, Y. Wang, and A. Ghoshal. Workshop on Information Technologies and Systems (WITS) 2019, Munich, Germany.
  • A Clickstream-Based Approach to Predict Customer Behavior and Facilitate Conversion. W. Jabr, A. Ghoshal, Y. Cheng, and Paul Pavolu. Workshop on Information Technologies and Systems (WITS) 2019, Munich, Germany.
  • Hiding Sensitive Itemsets in Shared Transactional Databases: Minimizing the Number of Items Removed. S. Menon, A. Ghoshal, S. Sarkar. International Conference on Information Systems, 2019, Munich, Germany.
  • Support Forum and Software Vendor’s Pricing Strategy. D. Dey, A. Ghoshal, A. Lahiri. Theory of Economics of Information Systems, 2019, Vancouver, British Columbia, Canada.
  • Maximizing Clicks in a Budget Constrained Ad-Campaign. Sun, Z., Ghoshal, A., Mookerjee, R., Conference of Information Systems and Technologies, 2018, Phoenix, AZ.
  • Security Circumvention: To Educate or To Enforce? Dey, D., Ghoshal, A., and Lahiri, A. Hawaii International Conference on System Sciences, 2018, San Diego, CA.
  • Security Circumvention: To Educate or To Enforce? Dey, D., Ghoshal, A., and Lahiri, A. Theory of Economics of Information Systems, 2018.
  • 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 on 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 E
    ort? 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 Presentation 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.

Presentations in Conferences and Workshops

  • Preserving Degree Distributions when Sampling from Networks. Ghoshal, A., Menon, S., Sarkar, S. Production and Operations Management Society Conference (POMS) 2022, April 21-25, 2022, Online.
  • Multi-task Learning-based eXplainable Artificial Intelligence Approach: Identifying Common Predictors to Shape Future Readmission Policies. Conference on Health IT
    and Analytics (CHITA 2022), Washington, D.C, USA.
  • Data Sharing, Privacy and Rule Hiding. Menon, S., Ghoshal, S., and Sarkar, S. Conference on Digital Economy (CODE), 2019, Kolkata, India.
  • Hiding Sensitive Information Prior to Sharing Distributed Transactional Databases. Ghoshal, A., Hao, J., Menon, S., and Sarkar, S., Production and Operations Management Conference, 2019, Washington D.C.
  • Maximizing Clicks in a Budget Constrained Ad-Campaign. Sun, Z., Ghoshal, A., Mookerjee, R., Production and Operations Management Conference, 2019, Washington D.C.
  • Recommender System and Cross-selling: Monopoly and Duopoly. Ghoshal, V. S. Mookerjee, and S. Sarkar. INFORMS Annual Meeting, October 22-25, 2017, Houston, TX.
  • 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.
  • 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.