Yogesh Joshi is an assistant professor at the Robert H. Smith School of Business at the University of Maryland. He works in the areas of marketing and innovation. His research focuses on strategic marketing decisions, product differentiation, brand strategy, social influence, the diffusion of innovations, and new product development. He teaches/has taught courses on customer centric innovation in the undergraduate program, new product development in the MBA program, innovation analytics in the MS in Marketing Analytics program, and mathematical models in marketing in the PhD program.
His research has been published in leading academic journals, including Marketing Science, Management Science, and the Journal of Marketing Research. In 2011, he was recognized as a Marketing Science Institute Young Scholar. His prior industry experience includes work as a strategy consultant at McKinsey & Company, on issues related to marketing, operations and technology. He holds a PhD in Marketing from the Wharton School of the University of Pennsylvania, SM in Engineering from the Massachusetts Institute of Technology, and a BTech in Mechanical Engineering from the Indian Institute of Technology, Bombay.
Trusov, Michael, William M. Rand, Yogesh V. Joshi. 2013. Improving Pre-Launch Diffusion Forecasts: Using Synthetic Networks as Simulated Priors. Forthcoming, Journal of Marketing Research.
Joshi, Yogesh V., David J. Reibstein, Z. John Zhang. 2009. Optimal Entry Timing in Markets with Social Influence. Management Science 55(6) 926-939.
Musalem, Andres, Yogesh V. Joshi. 2009. How Much Should You Invest in Each Customer Relationship? A Competitive Strategic Approach. Marketing Science 28(3) 555-565.
Chen, Yuxin, Yogesh V. Joshi, Jagmohan S. Raju, Z. John Zhang. 2009. A Theory of Combative Advertising. Marketing Science 28(1) 1-19.
Van den Bulte, Christophe, Yogesh V. Joshi. 2007. New Product Diffusion with Independents and Imitators. Marketing Science 26(3) 400-421.