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Nowcasting world trade with machine learning: A three-step approach
Chinn, Menzie David; Meunier, Baptiste; Stumpner, Sebastian - 2023
We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...
Persistent link: https://www.econbiz.de/10014374780
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Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques
Maaß, Dennis; Spruit, Marco; de Waal, Peter - In: Decision Analytics 1 (2014) 1, pp. 1-17
Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...
Persistent link: https://www.econbiz.de/10011656506
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Scraping the demos. Digitalization, web scraping and the democratic project
Ulbricht, Lena - In: Democratization 27 (2020) 3, pp. 426-442
Scientific, political and bureaucratic elites use epistemic practices like “big data analysis” and “web scraping” to create representations of the citizenry and to legitimize policymaking. I develop the concept of “demos scraping” for these practices of gaining information about...
Persistent link: https://www.econbiz.de/10012222234
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Machine Learning Anwendungen in der betrieblichen Praxis: Praktische Empfehlungen zur betrieblichen Mitbestimmung
Thieltges, Andree - 2020
KI-Modelle und Machine-Learning-Anwendungen halten Einzug in die alltägliche Praxis von Unternehmen und können mitbestimmt werden. Um die Interessen und Rechte der Beschäftigten zu berücksichtigen und zu schützen, sollten die aktuellen Regelungen in betrieblichen IT-Vereinbarungen...
Persistent link: https://www.econbiz.de/10012669333
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The bigger picture: Combining econometrics with analytics improve forecasts of movie success
Lehrer, Steven F.; Xie, Tian - 2020
simulation experiments that contrast econometric approaches with tools from the predictive analytics literature. Further, we …
Persistent link: https://www.econbiz.de/10012431091
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Social Set Visualizer (SoSeVi): Design, development and evaluation of a visual analytics tool for computational set analysis of big social data
Flesch, Benjamin Johannes - 2019
Analytics software tool, that expands upon a novel set-based approach to Big Social Data Analytics for large-scale datasets from … Visual Analytics software tool are iteratively designed and developed, and several contributions to the visualization of sets …-existing research gap with regard to the Visual Analytics of large-scale Facebook datasets vs. other social media platforms is closed …
Persistent link: https://www.econbiz.de/10012255117
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Big Data Analytics Capabilities: A Systematic Literature Review on Necessary Skills to Succeed in Big Data Analytics
Richly, Marc A. - In: Junior Management Science (JUMS) 7 (2022) 5, pp. 1224-1241
While the amount of data keeps growing, managers ask themselves whether they already retrieve full value from their data. To maximize the value of big data, literature offers first insights in building BDA capabilities (Gupta and George 2016, p; Mikalef et al. 2018). Nevertheless, BDA remains a...
Persistent link: https://www.econbiz.de/10014528979
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Human-related capabilities in big data analytics: a taxonomy of human factors with impact on firm performance
Korherr, Philipp; Kanbach, Dominik - In: Review of Managerial Science (2021), pp. 1-28
context of Big Data Analytics (BDA). This paper provides a holistic framework of human-related capabilities that organizations …
Persistent link: https://www.econbiz.de/10014501765
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Technology selection for big data and analytical applications
Lehmann, Denis; Fekete, David; Vossen, Gottfried - 2016
worthless without information retrieval through data analytics. As Big Data is too big for a single person to investigate …
Persistent link: https://www.econbiz.de/10011621124
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Effectiveness of agile compared to waterfall implementation methods in it projects: Analysis based on business intelligence projects
Kisielnicki, Jerzy; Misiak, Anna Maria - In: Foundations of Management 9 (2017) 1, pp. 273-286
, organizations require better use of data and analytics to support their business decisions. Internet power and business trend … changes have provided a broad term for data analytics - Big Data. To be able to handle it and leverage a value of having …
Persistent link: https://www.econbiz.de/10011923160