Dmitry Sharapov joined the Department of Innovation and Entrepreneurship at Imperial College Business School in February 2012 after completing his PhD in Management at the Judge Business School, University of Cambridge. After spending two years as a British Academy Post-doctoral Research Fellow, Dmitry took up the post of Assistant Professor in August 2015.
Dmitry's research interests lie at the intersections of the literatures on competitive strategy, innovation management, and decision-making under uncertainty. His current research aims to improve our understanding (1) of competitive dynamics under uncertainty, using data from the America's Cup World Series sailing competition (working together with Jan-Michael Ross), (2) of innovation and the inventive process, using data on all inventions created by the employees of a large multinational firm operating in a complex-goods industry (working together with Paola Criscuolo, Oliver Alexy, and Ammon Salter), and (3) of competition within and between innovation ecosystems, in the context of the changes taking place in the telecommunications sector over the past decades (working together with a number of co-authors including Erkko Autio, Llewellyn Thomas, Bilgehan Uzunca and Richard Tee).
Dmitry teaches Entrepreneurship and Corporate Strategy, and has also taught and coached on the Innovation and Entrepreneurship summer school.
et al., 2019, Lifting the veil: using a quasi-replication approach to assess sample selection bias in patent-based studies, Strategic Management Journal, Vol:40, ISSN:0143-2095, Pages:230-252
Sharapov D, 2018, Complementor strategies in smartphone application markets, Academy of Management Proceedings, ISSN:2151-6561
et al., 2016, Going Off-Piste: The Role of Status in Launching Unsponsored R&D Projects, Academy of Management Proceedings, Vol:2016, ISSN:0065-0668
et al., 2015, How an accelerator can catalyse your ecosystem, The European Business Review, ISSN:1754-5501
Ross J-M, Sharapov D, 2015, When the leader follows: Avoiding dethronement through imitation, Academy of Management Journal, Vol:58, ISSN:0001-4273, Pages:658-679