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Titlebook: Enterprise Applications, Markets and Services in the Finance Industry; 11th International W Jos van Hillegersberg,J?rg Osterrieder,Xiaohong

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書目名稱Enterprise Applications, Markets and Services in the Finance Industry
副標題11th International W
編輯Jos van Hillegersberg,J?rg Osterrieder,Xiaohong Hu
視頻videohttp://file.papertrans.cn/312/311424/311424.mp4
叢書名稱Lecture Notes in Business Information Processing
圖書封面Titlebook: Enterprise Applications, Markets and Services in the Finance Industry; 11th International W Jos van Hillegersberg,J?rg Osterrieder,Xiaohong
描述This book constitutes revised selected papers from the 11th International Workshop on Enterprise Applications, Markets and Services in the Finance Industry, FinanceCom 2022, held in Twente, The Netherlands, in August 2022..The 8 full papers presented in this volume were carefully reviewed and selected from a total of 25 submissions. They deal with the adoption of innovative technologies in the financial services industry. The conference features four main themes: networks and business models, financial markets, IT and implementations, and new emerging digital and virtual financial markets..
出版日期Conference proceedings 2023
關(guān)鍵詞FinTech; trading platforms; data analytics; electronic trading; service sciences; financial industry; data
版次1
doihttps://doi.org/10.1007/978-3-031-31671-5
isbn_softcover978-3-031-31670-8
isbn_ebook978-3-031-31671-5Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Conclusion and Summary of Contributions,nce organization that is using AI-enabled credit scoring to support the screening process to particularly financially marginalized entrepreneurs. This paper highlights the importance of considering the strategic role of the organisation when developing and evaluating fair algorithm- enabled decision
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Business and Technician Education Councilers and domain experts are interested in analyzing such datasets in an ad-hoc manner. In spite of this, high-frequency data analysis requires a combination of domain knowledge and IT skills due to the need for data standardisation and extensive usage of computational resources. This paper proposes a
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Monitoring the Performance of Staff, harm investors for their own benefit. This not only impairs affected investors but also decreases trust and participation of investors in financial markets resulting in reduced possibilities for retirement savings and inefficiencies regarding the allocation of funds to the real economy. To solve th
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Conclusion and Summary of Contributions,e frameworks, especially for algorithm-enabled decision systems. Yet, translating fairness principles into context specific practices can be undermined by multiple unintended organisational risks. This paper argues that there is a gap between the potential and actual realized value of AI. Therefore,
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