Christian Barrot is Managing Director, Dean of Programs, and Professor of Marketing and Innovation at Kühne Logistics University in Hamburg. He studied business administration at the Christian-Albrechts-University of Kiel and the Norwegian School of Management (BI) in Oslo. After his doctorate and habilitation at the CAU and research stays at Penn State University and Columbia Business School, Prof. Barrot has been at KLU since 2011, where he specializes in innovation management, marketing and entrepreneurship. 

Prof. Barrot's research interests include topics such as the diffusion of innovations, social networks, customer relationship management and electronic business. His research has been published in leading international journals such as Journal of Marketing, International Journal of Research in Marketing, International Journal of Electronic Commerce, and Journal of Business Ethics. His research has been recognized with the 2018 Sheth/Journal of Marketing Award (long-term contribution to the discipline of marketing), the 2018 VHB Best Paper Award (Finalist), the 2011 MSI/H. Paul Root Award (Finalist), and he is a Fellow of the AMA-Sheth Foundation Doctoral Consortium 2005. 

Together with colleagues from the universities of Hamburg, Münster, and Cologne, Prof. Barrot serves as head of DFG-FOR 1452, the first Research Group in the field of business ever to be supported by the German Research Foundation (DFG). Receiving a total funding of EUR 4.0m, this group investigates aspects of marketing in the context of digital social media.

As a company founder, consultant, and supervisory board member, Prof. Barrot has gained almost two decades of practical experience in the field of digital transformation. With this background, he actively supports the entrepreneurial activities of KLU students and alumni, particularly during the ideation and start-up phases.

Prof. Barrot regularly engages in research co-operations with firms from various industries on customer management topics such as referral programs, churn prevention, and targeting. A common thread of these projects is the use of advanced quantitative analysis methods to support management decision-making.