Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018. Hrsg. / Tung X. Bui. University of Hawaiʻi at Mānoa, 2018. S. 5004-5013 (Proceedings of the Annual Hawaii International Conference on System Sciences; Band 2018-January).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Charting the Emerging Financial Services Ecosystem of Fintechs and Banks
T2 - 51st Hawaii International Conference on System Sciences - HICSS 2018
AU - Schmidt, Julian
AU - Drews, Paul
AU - Schirmer, Ingrid
N1 - Conference code: 51
PY - 2018/1/1
Y1 - 2018/1/1
N2 - The competition and the collaboration of established banks and challenging fintechs are expected to dramatically change the financial services ecosystem. The different types and roles of fintechs as new niche players in the ecosystem are not well understood so far. However, a better understanding of these types and roles is required for incumbent as well as for new actors for defining and aligning their strategies. In this paper, we analyze the business models of 195 fintech companies with a special focus on the role of data. Based on this analysis, we present a structured overview of fintechs’ business areas as well as six data-related business model types. This paper contributes to the research on data-driven business models and business ecosystems by applyingand modifying an existing approach for classifying new niche players based on the data dimension of their business models.
AB - The competition and the collaboration of established banks and challenging fintechs are expected to dramatically change the financial services ecosystem. The different types and roles of fintechs as new niche players in the ecosystem are not well understood so far. However, a better understanding of these types and roles is required for incumbent as well as for new actors for defining and aligning their strategies. In this paper, we analyze the business models of 195 fintech companies with a special focus on the role of data. Based on this analysis, we present a structured overview of fintechs’ business areas as well as six data-related business model types. This paper contributes to the research on data-driven business models and business ecosystems by applyingand modifying an existing approach for classifying new niche players based on the data dimension of their business models.
KW - Economics
KW - Business informatics
KW - Managing Platforms and Ecosystems
KW - business ecosystem
KW - fintech
KW - data-driven business model
KW - financial services
KW - bank
UR - http://hdl.handle.net/10125/50514
UR - http://www.scopus.com/inward/record.url?scp=85061338908&partnerID=8YFLogxK
U2 - 10.24251/HICSS.2018.625
DO - 10.24251/HICSS.2018.625
M3 - Article in conference proceedings
SN - 978-0-9981331-1-9
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 5004
EP - 5013
BT - Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018
A2 - Bui, Tung X.
PB - University of Hawaiʻi at Mānoa
Y2 - 3 January 2018 through 6 January 2018
ER -