Stoyan Tanev
University of Southern Denmark
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Dr. Stoyan Tanev is an Associate Professor in the Institute of Technology and Innovation and member of the Integrative Innovation Management (I2M) Research Unit at the University of Southern Denmark (SDU), Odense, Denmark. I2M is a research group operating across the faculties of social sciences and engineering and focusing on new innovation perspectives. Before joining the I2M unit at SDU in August 2009, Dr. Tanev was a Faculty member in the Technology Innovation Management Program, Department of Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada. Stoyan Tanev has a M.Sc. and Ph.D. in Physics (1995, jointly by the University of Sofia, Bulgaria, and the University Pierre and Marie Curie, Paris, France), a M.Eng. in Technology Management (2005, Carleton University, Canada), and a M.A. (2009, University of Sherbrooke, Canada). Dr. Tanev is an expert in nanobiophotonics simulation and modeling. His current research interests are in the fields of technology innovation management and value co-creation strategies. Dr. Tanev teaches technology innovation, technology marketing and technology management courses in the M.Sc. Engineering program "Product Development and Innovation" at SDU.

Abstract

Value co-creation is an emerging business, marketing and innovation paradigm describing the tendency of firms to adopt practices enabling their customers to become active participants in the design and development of personalized products, services and experiences. It requires a re-conceptualization of value chains into complex and dynamic networks of value-producing relations between producers, suppliers, customers and end users. Value co-creation networks are characterized by emergent properties and thus difficult to study. It is important therefore to test and validate analytical tools that would enable further research. The objective of the present contribution is to examine the relationship between value co-creation and innovation in technology-driven firms by using the Artificial Neural Network (ANN) approach. The empirical analysis by ANN shows that such a relationship exists, and this result is confirmed by linear regression analysis. In addition, two different techniques were used to classify firms in terms of the degree of their co-creation activities - cluster analysis and the self-organizing map (SOM) algorithm. The main contribution of this work is in providing a purely quantitative analysis of the relationship between firms' involvement in co-creation activities and some of their innovation-related metrics without any preliminary assumption about the specific type of such relationship.

Alessandro Vespignani . Geoffrey West . Kathleen C. Engel . Ren Y. Cheng . Eric Bonabeau . David Lazer . Adam Price . Hamid Benbrahim . Cesar A. Hidalgo . Marta Gonzalez . Sokol Celo . Michail Bletsas . Greta Meszoely . Stoyan Tanev . Charles Worrell . Kun Zhao . Dany Bahar . Brian Peltonen .