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Industry disruption in UK banking : the evolution of regulation, technology adoption and business models
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Dinçkol, Dize (2021) Industry disruption in UK banking : the evolution of regulation, technology adoption and business models. PhD thesis, University of Warwick.
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Official URL: http://webcat.warwick.ac.uk/record=b3678379~S15
Abstract
In this dissertation, I analyze how an established, regulated, data-sensitive industry is disrupted following a regulatory change. The research context is UK banking industry during its transformation to an Open Banking environment via a regulatory change. I adopt an inductive qualitative approach in this dissertation, utilizing data collected via semi-structured interviews with key industry actors and supported by archival resources to delve deep into how competition and industry architecture evolved during this period. In the first part, I start by explaining how regulatory technical standards for data access and transactions affected the industry architecture by leading to disintegration and emergence of new players. This contributes to our understanding of the relationship between standards, interoperability and industry disintegration, by unravelling how mandated standards introduced by regulation and their implementation affect industry architecture. In the second part, I focus on platform formation efforts of incumbents as well as new players during this transformation period, highlighting the limitations of platform strategies and dynamics in highly regulated, data sensitive industries. This chapter provides a nuanced view of platform emergence and industry transformation with attention to organizational context, interorganizational conflicts, and the regulatory environment. Finally, in the third part, I explore the business model design and evolution processes of AI-driven new ventures before and after Open Banking regulations came into effect. This study contributes to our understanding of business model design and evolution, interdependencies across business model components, and strategic growth potential of different business models in the context of AI-driven new ventures in a data-sensitive and regulated market. Overall, this dissertation contributes to our understanding of how a technological change in a stagnant industry affect industry architecture, dynamics and competition between different industry players, and emergence and evolution of new business models.
Item Type: | Thesis (PhD) | ||||
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Subjects: | H Social Sciences > HG Finance | ||||
Library of Congress Subject Headings (LCSH): | Banks and banking -- Great Britain, Banks and banking -- Technological innovations -- Great Britain, Banks and banking -- State supervision -- Great Britain, Banks and banking -- Information technology -- Great Britain | ||||
Official Date: | March 2021 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | Warwick Business School | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Ozcan, Pinar ; Zachariadis, Markos | ||||
Format of File: | |||||
Extent: | ix, 155 leaves : illustrations (some colour) | ||||
Language: | eng |
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