The sub-project investigates optimal distinctiveness under the contingency of time, focusing on South Korean films and using Computer Vision to elicit the novelty of films.

The sub-project explores how digitization creates forms, formats, and content. In particular, we are interested in how uniqueness of South Korean films is created, and how cultural entrepreneurs use the digital space to develop new forms and formats to create such unique products. We argue that temporal variation matters to strategically determine the novelty of films, as new films implicitly refer to prior, already existing films.

Our project is led by three research questions: How do cultural entrepreneurs (such as studios) achieve the optimal balance between similarity and distinctiveness? And how is this issue solved in industries which are essentially based on innovation and creativity, like the film industry? And finally, how do temporal dynamics affect the level of distinctiveness?


This project employs a mixed-method approach. In terms of quantitative analyses, we exploit Artificial Intelligence (i.e., Computer Vision) to extract the distinctiveness of a film. We validate this measure through surveys. We then utilize the validated measure in a post-hoc econometric exercise to illustrate how similarity impacts economic and artistic success. We expect that those films are the most successful which are optimally distinct to prior and existing films. In terms of qualitative analyses, we employ semi-structured interviews to explain the underlying mechanisms at play.

The analysis on the visual dimension of Korean films provides answers to the question of how cultural entrepreneurs, especially in the context of emerging economies, utilize available resources to legitimize, on the one hand, and to be sufficiently distinctive, on the other hand.


CEDITRAA welcomes fellow Sam Garg in Frankfurt

We are glad to announce that Prof. Sam Garg will join the team of Cornelia Storz in Frankfurt as an international Fellow in September 2023. Prof. Garg (PhD, Stanford University) is Associate Professor of Management at ESSEC Business School Singapore....

CEDITRAA welcomes Michael Lounsbury as an international fellow

The CEDITRAA team in Frankfurt is glad to receive Prof. Michael Lounsbury as an international Fellow in May 2023. Michael Lounsbury is the Roger S. Smith Professor of Business at the Alberta School of Business – Department of Strategy, Entrepreneurship...

Natural Language Processing

NLP (Natural Language Processing, or computer-assisted text analysis) and CV (Computer Vision, or visual analysis) are two subfields within Artificial Intelligence. Both approaches provide computational methods to analyse human texts, discourses, and visual input such as images and videos. NLP...