Abhijeet's research focuses on two domains – (i) operational and strategic issues related to recommender systems, and (ii) operational issues related to knowledge management systems. He has authored four essays as a part of his doctoral rsearch work. The first essay analyzes the impact of providing product recommendations to customers in monopolistic and duopolistic markets. He recognizes conditions under which improving recommender system may decrease the profit of a firm, and provides guidelines to firms on how to strategically price their products in order to maximize their profits when they improve their recommender systems. In two essays, he proposes techniques for improving current recommender systems that provide recommendations using association rules. The proposed methodologies achieve significant improvements in accuracies over traditional methods based on association rules and collaborative filtering for providing product recommendations using transactional datasets. In the fourth essay, he analyzed a competition between a personalizing firm and a non-personalizing firm when a customer can purchase a product recommended by the personalizing firm from either of the firms. He derives conditions when the profits of these firms may increase (or drecrease) and shows that while fixing prices of products, firms should also consider the effcet of recommender system on the customer's choices and the reaction of the competitor.
Currently, apart from coninuing his dissertation research, he is also analyzing several operational issues in knowledge management systems. The context is a company that uses knowledge management system to provide solutions to its field technicians regarding various problems they face while providing services at client sites. In these projects – (i) he empirically analyzes how the characteristics of the knowledge management system impact the rate at which users (field technicians) seek solutions to their problems from the system, and (ii) he analyzes using simulation techniques how to optimally allocate the resources of a support center that are shared between two activities – maintaining the knowledge management system and operating a call center, where the call center is an alternative to the knowledge management system for field technicians.
Ghoshal, A. and Sarkar, S. Association Rules for Recommendations with Multiple Items, submitted to INFORMS Journal on Computing, 3rd round
Ghoshal, A., Menon, S. and Sarkar, S. Recommendations Using Information from Multiple Association Rules: A Probabilistic Approach. Under Review at Management Science.
Ghoshal, A., Kumar, S. and Mookerjee, V. Recommendation Systems and Switching Costs: A Competitive Analysis. Under review at MIS-Quarterly.
Ghoshal, A., Mookerjee, V. and Sarkar,S. Economic Impact of Recommender Systems on Firms and Customers, work in progress.
Ghoshal, A., Gupta, A. and Subramani, M. Optimal Resource Allocation of Shared Resources among Call Center Services and Knowledge Management Tasks, work in progress.
Ghoshal, Atahan, P., Menon, S., Sarkar, S. (2010). A Framework for Personalized Sponsored Search, INFORMS
Ghoshal, A. and Sarkar, S. (2009). Multiple Item Recommendations Using Disjunctive Consequent Rules, INFORMS
Ghoshal, A., Menon, S. and Sarkar, S., (2009). Recommendations Using Information from Multiple Association Rules, WITS
Ghoshal, A., Sarkar, S. (2008). Mining Association Rules with Disjunctions in Consequent, CIST
Ghoshal, A., Menon,S., Sarkar, S. and Atahan, P. 2010. Sponsored Search: The Sum is Larger Than its Parts, WITS.
Ghoshal, A., Menon. S. and Sarkar, S. (2009). Recommendations Using Information from Multiple Association Rules DESRIST
Nominated and accepted for Big XII+ Doctoral Consortium, 2009.
Nominated and accepted for DESRIST Doctoral Consortium, 2009.
Nominated and accepted for ICIS Doctoral Consortium, 2010.
Reviewer for Journals: Information Technology and Management, Management Information Systems Quarterly
Reviewer for Conference: Hawaii International Conference on System Sciences, January 4-7, 2012 (HICSS-45), Hawaii International Conference on System Sciences, January 4-7, 2011 (HICSS-44), Hawaii International Conference on System Sciences, January 5-8, 2010 (HICSS-43), International Conference on Web Services, July 6-10, 2009 (ICWS 2009)
Program Committee, 20th Workshop on Information Technologies and Systems, December 11-12, 2010 (WITS 2010), Conference on Information Systems and Technologies, November 12-13, 2011 (CIST 2011), Conference on Information Systems and Technologies, October 13-14, 2012 (CIST 2012)
