Linus Büttner
Doctoral Candidate,
Goethe University Frankfurt
Linus Büttner holds the roles as a research assistant and a doctoral candidate at the Chair of Innovation and Entrepreneurship with a focus on Japan/East Asia at Goethe University in Frankfurt. After completing his bachelor’s degree in Business Psychology at the West Coast University of Applied Sciences, Linus pursued the International Management program at Goethe University, specializing in Managerial Economics and Data Analytics.
With a foundation in both academia and practical experience, Linus has undertaken internships at automotive companies and a management consultancy. His academic journey has taken him abroad to the USA, China, and South Korea, where he immersed himself in courses covering topics such as International Politics, Sustainable Innovations, and Entrepreneurship.
Currently, Linus’ research interests have evolved to center on sustainable innovation, the impact of artificial intelligence on the workplace, and the utilization of visual analysis and computer vision to analyze contemporary innovation issues.
Linus Büttner primarily contributes to the work in Working Area A: Forms, Formats and Contents, in Working Area C: Archives and Cultural Heritage and in Project 1.1 on Dynamic Optimal Distintiveness in South Korean Films.
My CEDITRAA story
“For me, CEDITRAA’s emphasis on a diverse, multi-disciplinary team resonates with my belief in the power of varied perspectives. With scholars from diverse disciplines, CEDITRAA offers a platform for meaningful exchanges and learning from each other’s expertise. Drawing from my years in East Asia, particularly South Korea, where I observed the swift digitization and entrepreneurial fervor, I am enthusiastic about exploring the transformative forces shaping cultural production, spanning movies, video games, and music. Utilizing CEDITRAA’s unique environment, I aim to unravel key questions in cultural entrepreneurship, innovation and digital transformation, contributing valuable insights to the ongoing research. Through leveraging technologies like text analysis and computer vision, my goal is to decode emerging trends and contribute to bridging the gap between traditional expressions and the digital
landscape.”
