Sharmila ChatterjeeAcademic Head, Enterprise Management Track
Senior Lecturer, Marketing
Tel: (617) 253-8214
Fax: (617) 258-7597
Name: Tina Sherman (E62-531)
Tel: (617) 324-4095
Franchises; Marketing channels; Sales and sales processes; Trust-based marketingBiography
Sharmila C. Chatterjee is a Senior Lecturer in Marketing and the Academic Head for the Enterprise Management Track at the MIT Sloan School of Management.
A business-to-business marketing expert, Chatterjee examines issues in the domains of channels of distribution, sales force management, and relationship marketing. In the area of sales force management, she carried out some of the first studies in the critical area of sales-marketing interface, specifically, sales lead management. She is interested in effective management of the sales/marketing interface with a view towards appropriate allocation of resources between customer acquisition and retention activities. Lately, Chatterjee has become interested in the diffusion of technological innovations among users at client organizations under the rubric of value based management. Chatterjee has published in Behaviormetrika, Industrial Marketing Management, Journal of Marketing, Journal of Retailing, Marketing Letters, Marketing Management Journal, and The Marketing Report, among others. She is an award winning case writer with several of her cases placing first in the case writing competitions sponsored by the educational wing of Direct Marketing Association.
Prior to joining MIT, Chatterjee was the Nagel T. Miner Professor and Chair of the Department of Marketing and Public Relations at Golden Gate University, San Francisco.
Chatterjee graduated from the Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India, and worked briefly in Faridabad, India before earning her PhD in marketing from the Wharton School, University of Pennsylvania.
Web Site: http://sharmila.scripts.mit.edu/Publications
Sabnis, Gaurav, Sharmila C. Chatterjee, Rajdeep Grewal and Gary L. Lilien (2013), "The Sales Lead Black Hole: On Sales Reps' Follow-Up of Marketing Leads," Journal of Marketing, Jan, v77, n1, 52-67.
Chung, Chiayin, Sharmila C. Chatterjee and Sanjit Sengupta (2012), "Manufacturers' Reliance on Channel Intermediaries: Value drivers in the Presence of a Direct Web Channel," Industrial Marketing Management, Jan, v41, n1, 40-53.
Sa Vinhas, Alberto, Sharmila C. Chatterjee, Shantanu Dutta, Adam J. Fein, Joseph Lajos, Scott Neslin, William Ross, Lisa Scheer, Qiong Wang (forthcoming 2010), "Channel Design, Coordination and Performance: Future Research Directions," Marketing Letters.
Retsef LeviJ. Spencer Standish (1945) Professor of Management Associate Professor of Operations Management
Tel: (617) 253-4155
Fax: (617) 258-7579
Name: Ariel Brandner
Tel: (617) 253-6605
Applied math; Applied probability; Business intelligence; Competition; Convergence; Decision making, decision support; Facility location; Healthcare operations management; Infrastructures; Inventory; Logistics; Manufacturing management; Manufacturing systems; Mathematical programming; Medical decision making with technological advances; Medicine; Middle East; Operations management; Operations research; Optimal control; Optimization; Price fixing; Probability, applied; Process control; Production; Project management; Revenue management optimization; Sampling; Statistics; Stochastic modeling; Supply chain management; Terrorism; Vehicle routingBiography
Retsef Levi is the J. Spencer Standish (1945) Professor of Management and an Associate Professor of Operations Managementat the MIT Sloan School of Management.
Levi’s current research is focused on the design and performance analysis of efficient algorithms for fundamental stochastic and deterministic optimization models that arise in the context of supply chains, revenue management, logistics, and healthcare. These fundamental, multistage stochastic models are typically difficult to solve optimally, both theoretically and in practice. Hence, it is important to develop efficient heuristics that provide provably near-optimal policies for these hard models. Levi has a special interest in cost-balancing techniques, data-driven (sampling-based) algorithms, and modern linear programming-based approximation techniques applied to models in the above domains. In addition, he is interested in stochastic and combinatorial optimization and mathematical programming in their broad definition, especially in their intersection with problems that arise in the context of real-life applications. Levi is affiliated with MIT’s Master of Science Program in Computation for Design and Optimization.
He was born in Tel-Aviv, Israel, and served for about 12 years as an officer in the Israeli Defense Forces. In 2005, he received the Goldstine Postdoctoral Fellowship in Mathematical Sciences awarded by the Mathematical Sciences Department at the IBM T.J. Watson Research Center in Yorktown Heights, New York.
Levi holds a BS in mathematics from Tel-Aviv University and a PhD in operations research from Cornell University.
Web Site: http://web.mit.edu/retsef/www/Publications
Provably Near-Optimal LP-Based Policies for Revenue Management in Systems with Reusable Resources