Abstract
This short paper positions my doctoral research within the field of information systems, and, more specifically, to the EDOC community in preparation for the doctoral symposium. The research topic of my doctoral research is the design and implementation of Intelligence Amplification (IA) applications. Although extensively researched, there is no consensus in literature regarding the definition of IA, design knowledge is scattered across disciplines, and no routine design exists for IA applications. Therefore, the main aim of my doctoral research is two-fold to (1) establish a knowledge base for IA, as a foundation to (2) develop a design and action theory for IA. The knowledge base will be developed using established design science research methodologies and frameworks. Design knowledge regarding IA will be identified, analysed, and synthesized based on a systematic literature review using the PRISMA 2020 statement. The knowledge base will serve as a foundation for the design and action theory for IA. Action design research will be utilized to iteratively develop and evaluate an IA design method and practical design tools to help professionals and practitioners design and implement IA applications in the context of Industry 5.0 and Society 5.0.
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Piest, J.P.S. (2024). Towards a Knowledge Base and Design and Action Theory for Intelligence Amplification. In: Sales, T.P., de Kinderen, S., Proper, H.A., Pufahl, L., Karastoyanova, D., van Sinderen, M. (eds) Enterprise Design, Operations, and Computing. EDOC 2023 Workshops . EDOC 2023. Lecture Notes in Business Information Processing, vol 498. Springer, Cham. https://doi.org/10.1007/978-3-031-54712-6_24
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