Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector. / Schmidt, Julian; Drews, Paul; Schirmer, Ingrid.
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 SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Schmidt, J, Drews, P & Schirmer, I 2018, Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector. in TX Bui (Hrsg.), Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018. Proceedings of the Annual Hawaii International Conference on System Sciences, Bd. 2018-January, University of Hawaiʻi at Mānoa, S. 5004-5013, 51st Hawaii International Conference on System Sciences - HICSS 2018, Big Island, Hawaii, USA / Vereinigte Staaten, 03.01.18. https://doi.org/10.24251/HICSS.2018.625

APA

Schmidt, J., Drews, P., & Schirmer, I. (2018). Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector. In T. X. Bui (Hrsg.), Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018 (S. 5004-5013). (Proceedings of the Annual Hawaii International Conference on System Sciences; Band 2018-January). University of Hawaiʻi at Mānoa. https://doi.org/10.24251/HICSS.2018.625

Vancouver

Schmidt J, Drews P, Schirmer I. Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector. in Bui TX, Hrsg., Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018. University of Hawaiʻi at Mānoa. 2018. S. 5004-5013. (Proceedings of the Annual Hawaii International Conference on System Sciences). doi: 10.24251/HICSS.2018.625

Bibtex

@inbook{a13eeababa564e1d8561db8f42cb825d,
title = "Charting the Emerging Financial Services Ecosystem of Fintechs and Banks: Six Types of Data-Driven Business Models in the Fintech Sector",
abstract = "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{\textquoteright} 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.",
keywords = "Economics, Business informatics, Managing Platforms and Ecosystems, business ecosystem, fintech, data-driven business model, financial services, bank",
author = "Julian Schmidt and Paul Drews and Ingrid Schirmer",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE Computer Society. All rights reserved.; 51st Hawaii International Conference on System Sciences - HICSS 2018, HICSS 2018 ; Conference date: 03-01-2018 Through 06-01-2018",
year = "2018",
month = jan,
day = "1",
doi = "10.24251/HICSS.2018.625",
language = "English",
isbn = "978-0-9981331-1-9",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "University of Hawaiʻi at Mānoa",
pages = "5004--5013",
editor = "Bui, {Tung X.}",
booktitle = "Proceedings of the 51st Annual Hawaii International Conference on System Sciences, HICSS 2018",
address = "United States",
url = "http://www.urbanccd.org/events/2018/1/3/hawaii-international-conference-on-system-sciences-hicss-51",

}

RIS

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 -

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