Kapea AB

Articles and Publications

2026 – IP Strategy transformation for digital retrofitting of industrial products by Sebastian Andersson & Gustav Elm, Chalmers University of Technology (supervised Master’s Thesis work)

2025 – About AI and IP, Tidningen Näringslivet (in Swedish)

2025 – Managing knowledge outflows in open innovation by Brigt Jensen Kråkenes, Royal Institute of Technology (supervised Master’s Thesis work)

2024 – A balancing act by Marcus Engström & Florian Fohleitner, Stockholm School of Economics (supervised Master’s Thesis work)

2024 – The framing dynamics of patent valuation by Hanna Folkesson & Wilma Blomkvist, Stockholm School of Economics (supervised Master’s Thesis work)

2023 – From Strategy to Execution: Bridging the gap between data strategy and data governance by Jesper Hagberg & Adeline Fredriksson, Chalmers University of Technology (supervised Master’s Thesis work)

2023 – Beyond the balance sheet: Uncovering intellectual capital in acquisitions by Felicia Torstensson & Alexander Danielsson, Chalmers University of Technology (supervised Master’s Thesis work)

2022 – A ‘brand’ new approach to intellectual asset mapping at Spotify by Per Wendin and Ellenor Hayes (IAM)

2022 – Brands as intellectual assets by Jesper Lesseur Björnek and Erik Malmberg, Chalmers University of  Technology (supervised Master’s Thesis work)

2022 – Making the intangible more manageable by Julia Häll & Jennie Ljunggren, Chalmers University of Technology (supervised Master’s Thesis work)

2022 – How managing data into a business asset is key to unlocking its value by Marta Sadriu, Michelle Fransson and Bowman Heiden(IAM, behind paywall)

2021 – How Spotify’s intellectual asset mapping framework can drive value for knowledge companies by Per Wendin and Ellenor Hayes (IAM)

2021 – Data as an Asset by Marta Sadriu & Michelle Fransson, Chalmers University of Technology (supervised Master’s Thesis work)

2019 – Data-driven decisions in Mergers & Acquisitions by Annie Söderström & Emma Olsson, Chalmers University of Technology (supervised Master’s Thesis work)