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Green FinTech = impact taxonomy for ...
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Wendt, Karen.
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Green FinTech = impact taxonomy for Swiss fintech /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Green FinTech/ by Karen Wendt, Mathias Hauser.
其他題名:
impact taxonomy for Swiss fintech /
作者:
Wendt, Karen.
其他作者:
Hauser, Mathias.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xxix, 115 p. :ill. (some col.), digital ;24 cm.
內容註:
Introduction. -- A simple mathematical model. -- Low order Lagrange Finite Elements. -- The standard Finite Element Method. -- Nitsche Finite Element Method. -- Nitsche for Signorini. -- About meshing and discretization error.
Contained By:
Springer Nature eBook
標題:
Financial institutions - Effect of technological innovations on - Switzerland. -
電子資源:
https://doi.org/10.1007/978-3-031-78279-4
ISBN:
9783031782794
Green FinTech = impact taxonomy for Swiss fintech /
Wendt, Karen.
Green FinTech
impact taxonomy for Swiss fintech /[electronic resource] :by Karen Wendt, Mathias Hauser. - Cham :Springer Nature Switzerland :2025. - xxix, 115 p. :ill. (some col.), digital ;24 cm. - Sustainable finance,2522-8293. - Sustainable finance..
Introduction. -- A simple mathematical model. -- Low order Lagrange Finite Elements. -- The standard Finite Element Method. -- Nitsche Finite Element Method. -- Nitsche for Signorini. -- About meshing and discretization error.
This publication is the first one to develop a global impact taxonomy for FinTechs that aspire to fulfill the SDGs. The transformative arena of impact investing is witnessing significant shifts, through innovation and technology advances and through the emergence ad application of a new global societal contract. Finance and FinTech companies experience an increasing exposure to the evolving landscape of impact investing, the authors have identified an exigent need to construct a standardized Impact Taxonomy for FinTechs. This taxonomy is envisaged to create a uniform system, thereby enabling FinTechs to quantify their impact in a standardized manner. The inherent heterogeneity in the FinTechs industry and the still emergent implementation knowledge on "how to " implement the SDGs, necessitates the development of this taxonomy, which aims to enhance clarity, transparency, and comparability in measuring impacts, thus facilitating informed decision-making for investors, regulators, and the fintech entities themselves. This publication is conceived as an academic response to the specified need, coming up with the first framework of an impact taxonomy. This book explores the impact innovation potential of emerging technologies and machine learning in the FinTech industry from an entrepreneurial perspective. It maps the current initiatives, is substantiating a detailed examination and proposing a framework for a first global Impact Taxonomy tailored to the fintech sector. In the entrepreneurial sphere and analyses and develops strategies for identifying impact on governance and decision making and for managing risk.It provides practical advice on evaluating, strategizing and improving sustainability in the digital asset sector. This book offers a useful guide for finance professionals, entrepreneurs and early-stage investors.
ISBN: 9783031782794
Standard No.: 10.1007/978-3-031-78279-4doiSubjects--Topical Terms:
3786036
Financial institutions
--Effect of technological innovations on--Switzerland.
LC Class. No.: HG186.S9
Dewey Class. No.: 332.109494
Green FinTech = impact taxonomy for Swiss fintech /
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This publication is the first one to develop a global impact taxonomy for FinTechs that aspire to fulfill the SDGs. The transformative arena of impact investing is witnessing significant shifts, through innovation and technology advances and through the emergence ad application of a new global societal contract. Finance and FinTech companies experience an increasing exposure to the evolving landscape of impact investing, the authors have identified an exigent need to construct a standardized Impact Taxonomy for FinTechs. This taxonomy is envisaged to create a uniform system, thereby enabling FinTechs to quantify their impact in a standardized manner. The inherent heterogeneity in the FinTechs industry and the still emergent implementation knowledge on "how to " implement the SDGs, necessitates the development of this taxonomy, which aims to enhance clarity, transparency, and comparability in measuring impacts, thus facilitating informed decision-making for investors, regulators, and the fintech entities themselves. This publication is conceived as an academic response to the specified need, coming up with the first framework of an impact taxonomy. This book explores the impact innovation potential of emerging technologies and machine learning in the FinTech industry from an entrepreneurial perspective. It maps the current initiatives, is substantiating a detailed examination and proposing a framework for a first global Impact Taxonomy tailored to the fintech sector. In the entrepreneurial sphere and analyses and develops strategies for identifying impact on governance and decision making and for managing risk.It provides practical advice on evaluating, strategizing and improving sustainability in the digital asset sector. This book offers a useful guide for finance professionals, entrepreneurs and early-stage investors.
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