Improving industrial R&D practices with social and ethical aspects: Aligning key performance indicators with social and ethical aspects in food technology R&D |
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| Affiliation: | 1. Delft University of Technology, Faculty of Applied Sciences, Department of Biotechnology, Section Biotechnology & Society, Julianalaan 67, 2628BC Delft, The Netherlands;2. CSG Centre for Society and the Life Sciences, PO Box 9010, 6500GL Nijmegen, The Netherlands;3. Kluyver Centre for Genomics of Industrial Fermentation, PO Box 5057, 2600GA Delft, The Netherlands;4. Delft University of Technology, Faculty of Applied Sciences, Science Education and Communication, Lorentzweg 1, 2628CJ Delft, The Netherlands;5. BE-Basic, Julianalaan 67, 2628BC Delft, The Netherlands;1. College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China;2. Economics and Management School, Wuhan University, Wuhan 430072, China;3. Center for Population, Resource & Environmental Economics Research, Wuhan University, Wuhan 430072, China;1. Department of Materials Science and Engineering, MingDao University, 369, Wen-Hua Road, Peetow, Changhua, Taiwan, ROC;2. Department of Mechatronics Engineering, National Changhua University of Education, Changhua 500, Taiwan, ROC |
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| Abstract: | Policy makers encourage integrating Social and Ethical Aspects (SEAs) in Research and Development (R&D) for the responsible development and deployment of future and emerging technologies, including Nanotechnology and Life Sciences. However, R&D project leaders in industry generally do not integrate SEAs explicitly in their daily practice. Furthermore, to what extent SEAs improve R&D remains unclear. We carried out a comparative research case study to assess to what extent R&D projects can be measurably improved through the integration of SEAs.We combined recent insights from Science and Technology Studies and Innovation Management to integrate SEAs in industrial R&D in the field of food technology and measured changes in project performance based on Key Performance Indicator (KPI) scores. We used Midstream Modulation with a group of project leaders and measured their projects' performance using a modified version of the Wageningen Innovation Assessment Toolkit.Results show that the integration of SEAs was not only perceived by participants to be functional and useful, but it also measurably improved KPI scores. We propose that the two methods can be integrated into a Success Factor based Live Innovation Project Scoring and Evaluation tool, which can be functionally deployed in R&D environments. |
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