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Digital-Ökonomie : wie unser Denken und Handeln manipuliert wird
Jänig, Christian - 2021 - 1. Auflage
Persistent link: https://www.econbiz.de/10012583144
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Digital Transformation in Business and Society : Theory and Cases
George, Babu (ed.); Paul, Justin (ed.) - 2020 - 1st ed. 2020
1. Introduction -- 2. Human Flourishing in Smart Cities -- 3. On How Big Data Revolutionizes Knowledge Management -- 4. Social Media in Marketing Communications: A Synthesis of Successful Strategies for the Digital Generation -- 5. Social Media Technologies and Export Marketing -- 6. Data...
Persistent link: https://www.econbiz.de/10012398930
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The Global Digital Compact : opportunities and challenges for developing countries in a fragmented digital space
Correa, Carlos María; Danish; Ido, Vitor Henrique Pinto; … - 2023
The adoption of a Global Digital Compact (GDC) as one of the outcomes of the Summit of the Future opens up the opportunity to address in a systematic manner issues that are of critical importance for the digital global governance. It also poses a challenge to developing countries, as most of...
Persistent link: https://www.econbiz.de/10014441907
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Digital transformation in business and society : theory and cases
George, Babu (ed.); Paul, Justin (ed.) - 2020
Persistent link: https://www.econbiz.de/10012107248
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Improving the short-term forecast of world trade during the Covid-19 pandemic using SWIFT data on letters of credit
Carton, Benjamin; Hu, Nan; Mongardini, Joannes; Moriya, Kei - 2020
An essential element of the work of the Fund is to monitor and forecast international trade. This paper uses SWIFT messages on letters of credit, together with crude oil prices and new export orders of manufacturing Purchasing Managers' Index (PMI), to improve the short-term forecast of...
Persistent link: https://www.econbiz.de/10012392595
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Nowcasting global poverty
Mahler, Daniel Gerszon; Castañeda Aguilar, R. Andrés; … - In: The World Bank economic review : WBER 36 (2022) 4, pp. 835-856
Persistent link: https://www.econbiz.de/10013460241
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Energy poverty prediction and effective targeting for just transitions with machine learning
Spandagos, Constantine; Tovar Reaños, Miguel Angel; … - 2023
energy poverty schemes, enabling the accurate prediction of energy vulnerable households via objective, publicly available …, we develop an innovative machine learning framework for accurate prediction and fair targeting of energy poor households …
Persistent link: https://www.econbiz.de/10014391248
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The Effects of AI on the Working Lives of Women
UNESCO; OECD; Inter-American Development Bank - 2022
Economic Co-operation and Development (OECD) examines the effects of AI on the working lives of women. This report describes … report highlights the need for more focus and research on the impacts of AI on women and the digital gender gap, in order to … ensure that women are not left behind in the future of work. …
Persistent link: https://www.econbiz.de/10013278716
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Forecasting ETFs with Machine Learning Algorithms
Liew, Jim Kyung-Soo - 2018
In this work, we apply cutting edge machine learning algorithms to one of the oldest challenges in finance: Predicting returns. For the sake of simplicity, we focus on predicting the direction (e.g. either up or down) of several liquid ETFs and do not attempt to predict the magnitude of price...
Persistent link: https://www.econbiz.de/10012934913
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Leading indicators and maritime safety: predicting future risk with a machine learning approach
Kretschmann, Lutz - In: Journal of shipping and trade 5 (2020) 19, pp. 1-22
The shipping industry has been quite successful in reducing the number of major accidents in the past. In order to continue this development in the future, innovative leading risk indicators can make a significant contribution. If designed properly, they enable a forward-looking identification...
Persistent link: https://www.econbiz.de/10012301416