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Dynamics of cultural products and cultural industries: theree papers

Rolbina, M. (2019). Dynamics of cultural products and cultural industries: theree papers. (Unpublished Doctoral thesis, City, University of London)


This dissertation sets out to shed light on some of the under-studied aspects of cultural products and cultural industries: organizational response to market and technological changes connected with the advance of digital technologies, the international transfer of cultural products, and the idiosyncrasy of cultural products and the symbols they use.

The first chapter of this dissertation analyses how a firm can enter an existent market by leveraging new technology not only as a new way to create value, but also as a self-categorization tool to differentiate from the competition, and how self-categorization changes and stabilizes over time. I conduct a longitudinal case study analysis of how Netflix entered the existent television industry, observing how the company changed its self categorization from a technology to television company. Building on this case, I discuss the implications of self categorization dynamics for strategy research.

In the second chapter of my dissertation, I analyse what cultural and organizational antecedents are associated with successful and unsuccessful international adaptations of cultural products. Fuzzy-Set Qualitative Comparative Analysis of a sample of televisionformats revealed that cultural adaptations in genre and values of the cultural product act as enablers and restrictors for organizational factors, such as adaptation experience.

Finally, in the third paper of this dissertation, I propose a concept of symbolic idiosyncrasy – embeddedness of symbolic content in its home culture that prevents it to be equally valuable elsewhere. Building on cultural studies as well as on organizational theory literature, I also theorize the three dimensions of this concept: aesthetic, identity, and status idiosyncrasy.

Publication Type: Thesis (Doctoral)
Subjects: T Technology
Departments: Bayes Business School
Bayes Business School > Bayes Business School Doctoral Theses
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