Wageningen University, The Netherlands.
Applications close April 19, 2015
This research will be carried out within the framework of a project called, Motivations, drivers and barriers for responsible innovation in the Dutch food sector: the influence of a healthy food logo on the innovation agenda for healthy food, in which Wageningen University collaborates with the Dutch Choices Foundation (Stichting ‘Ik kies bewust’).
(1) The project combines normative-philosophical analysis regarding the responsibility of companies for healthy food (normative ethics) with qualitative empirical studies (descriptive ethics) to investigate the motivations, social-ethical and economic drivers and barriers for food companies to invest in responsible innovations for healthy food, and the direct or indirect impact of front of pack logos for healthy food on companies’ contribution to public health. This multi-disciplinary research project combines management science, business and innovation ethics and food technology and nutritional innovations. Various research methods will be applied, such as normative analysis, focus groups and interviews. To overcome gaps in knowledge and/or skills, relevant courses will be offered. Further details and application process here.
(2) The project consists in: (1) the development of a specific framework for industrial responsible innovation, (2) the analysis of the innovation cycle of particular food products and product categories, based on longitudinal data of food products and their evolution, and interviews with R&D managers, (3) analysis of the dynamics behind product innovations due to tightened criteria of front-of-pack logo’s, and (4) the identification of trade-offs between socio-ethical and economic interests involved in product innovations for healthy food. This multi-disciplinary research project combines innovation management, food technology and nutritional innovation, and business and innovation ethics. Various research methods will be applied, such as normative analysis, interviews and statistical analysis. To overcome gaps in knowledge and/or skills, relevant courses will be offered. Further details and application process here.