Blockchain and Artificial Intelligence for Intellectual Property and Organizational Innovation

Abstract

The overarching aim of this cumulative dissertation is to provide theoretical grounding and empirically informed design knowledge on (1) how blockchain can modernize intellectual property lifecycle management, (2) how decentralized autonomous organizations (DAOs) can unlock their full potential as an emerging governance form, and (3) how generative AI chatbots can provide reliable assistance in trust-sensitive and high-stakes contexts such as decentralized finance (DeFi) and academia. Motivated by growing frictions of digital markets—particularly in protecting and remunerating creative outputs and innovations—the dissertation consolidates research and develops transferable concepts for institutionally grounded, trustworthy digital systems. To attain the overarching research objective, this cumulative dissertation reports on six peer-reviewed research contributions embedded in a unifying socio-technical framework. The research contributions draw on systematic literature reviews, qualitative empirical studies (including case study and expert interviews), and design science research with mockup instantiations, addressing descriptive and prescriptive research questions in the field of information systems