How to identify & evaluate Lead User Innovation online (fast/AI): User innovation for flood resilience in Indonesia study, and new findings, emerged in 2023, through generative AI analysis
When: Tuesday 7 March 2023, 10:00am – 11:00am AEDT | 1:00am – 2:00am CEST Seminar (Q&A at the end)
Registration Online: https://www.eventbrite.com.au/e/online-how-to-identify-evaluate-lead-user-innovation-online-fastai-tickets-559027124177
International Guest Speaker: Moritz Göldner, Assistant Professor for Data-Driven Innovation at Hamburg University of Technology (TUHH) | OpenInnoTrain Secondee
Facilitator: Professor Anne-Laure Mention, Director, Global Business Innovation Enabling Impact Platform | OpenInnoTrain Chief Investigator
Seminar Abstract: Organizations in the humanitarian sector often face problems that are hard to solve owing to their complexity and high hidden solution knowledge. In our project, that was conducted in 2016 and 2017 together with the International Federation of Red Cross and Red Crescent Societies (IFRC) and Red Cross Indonesia (Palang Merah Indonesia, PMI), we compared the costs and benefits of two open innovation tools for identifying social innovation for building flood resilience in Indonesia: an innovation contest and the lead user method. Our analysis revealed that concepts obtained by the lead user method scored significantly higher in technical quality, social impact, as well as degree of elaboration. By transferring two well-known methods for innovation identification from the private sector to the humanitarian sector, we introduced a new path towards empowering local innovators to solve humanitarian challenges.
Today, generative AI (such as OpenAI’s ChatGPT or Google’s Bard) is offering new ways for conducting research. We have replicated all major steps of the abovementioned study in early 2023 and outline similarities and differences in the results. These findings are critically discussed together with the audience.
Reference: Kruse, D.J., Goeldner, M., Eling, K. and Herstatt, C. (2019), Looking for a Needle in a Haystack: How to Search for Bottom-Up Social Innovations that Solve Complex Humanitarian Problems. J Prod Innov Manag, 36: 671-694. https://doi.org/10.1111/jpim.12507
Moritz’s Bio: Moritz is an assistant professor for data-driven innovation at Hamburg University of Technology (TUHH). In his research Moritz aims to explore the intersection of innovation management, healthcare and engineering with a focus on data-driven innovation. One of his focus topics are digital health applications and their impact on the digital health care system in the future. Furthermore, he is studying the interactions of sustainability and healthcare and the data streams that connect the two. Lastly, he aims at further exploring how big dataset might help to design user-centric innovation in the future.
Prior to his position at TUHH, Moritz was an innovation consultant for user-centric innovation in healthcare and a co-founder of Innovatinghealth.care . He is a biomedical engineer and innovation scholar with significant experience in developing digital and non-digital projects in the healthcare sector. His passion on this topic is rooted in his PhD-related research on patients, caregivers and healthcare professionals as user innovators with respect to their own unmet medical needs.
Acknowledgements: OpenInnoTrain Project, is a global network of researchers and industry practitioners across Europe and Australia for promoting the translation of research between university-industry through cooperation and Open Innovation in the sectors of: FinTech, Industry 4.0, CleanTech, FoodTech. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823971.
RMIT University, Melbourne, Australia – Global Business Innovation Enabling Capability Platform (Director, Professor Anne-Laure Mention).
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Day 01 / March 7
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10:00 am
10:00am - 11:00am AEDT | 1.00am - 2.00am CEST