2023-11-21 15:30 - 17:00 E.19.03
This project aims to combine these research streams to understand how embedding privacy design patterns in innovation development can help innovation researchers and R&D managers to better define, design and deploy privacy issues in digital, responsible innovations, thereby improving the privacy protection of all involved stakeholders.
Firms are increasingly using big data opportunities to develop digital innovations, which creates privacy issues through using personal data. As these firms want to engage in responsible innovation, these firms struggle with paradoxical privacy tensions during their innovation activities. On the one hand, they would like to collect and use a lot of (personal) data to develop customized services. On the other hand, a key premise of responsible data handling is to minimize data collection and usage. Hence, these two goals cannot easily be combined. ICT research has developed privacy by design patterns and tested some of them in software development of digital systems. However, their insights are largely unconnected to innovation management research that investigates the use and impact of big data opportunities. This project aims to combine these research streams to understand how embedding privacy design patterns in innovation development can help innovation researchers and R&D managers to better define, design and deploy privacy issues in digital, responsible innovations, thereby improving the privacy protection of all involved stakeholders. Using three projects, we first want to understand the key challenges that innovation managers currently face with respect to privacy issues during the new product/service development process and map those to existing privacy-by-design patterns. Second, using a qualitative, empirical approach we aim to explore how innovation managers deal with the challenges of embedding privacy (by design) practices in their innovation activities. Third, we will use an intervention methodology approach to determine the effectiveness of different approaches, i.e. pattern tooling, structures and capabilities, of embedding privacy by design practices in responsible innovation. The project will contribute academically through embedding ICT insights with responsible, digital innovation literature. We assist organizations by developing best practices for better addressing privacy issues in innovation, thereby driving societal impact in helping institutions and their stakeholders to better respect privacy in new products and services.