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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
Identifying the performance factors of organizations is of utmost importance for labor studies for both empirical and theoretical research. The present study investigates the essential intra- and extra-organizational factors in determining the performance of firms using the European Company...
Persistent link: https://www.econbiz.de/10014329677
Data science and big data analytics (DS &BDA) methodologies and tools are used extensively in supply chains and logistics (SC &L). However, the existing insights are scattered over different literature sources and there is a lack of a structured and unbiased review methodology to systematise DS...
Persistent link: https://www.econbiz.de/10015168529
Machine Learning ist ein Forschungsfeld mit großen Potenzialen und weitreichenden Anwendungspotenzialen. Big Data kann dabei als Enabler angesehen werden, da große und qualitativ hochwertige Daten stets die Grundlage für erfolgreiche Machine Learning-Algorithmen und -Modelle darstellen....
Persistent link: https://www.econbiz.de/10014504476
contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and …
Persistent link: https://www.econbiz.de/10012099800
This study investigates whether aspiring and professional accountants understand the benefits and security challenges brought by emerging technologies such as: Big Data, data analytics, cloud computing and mobile technologies. 115 participants took part in a survey during January and February...
Persistent link: https://www.econbiz.de/10015196113
Mobile phones have spread around the developing world at an amazing speed. Their proliferation has given rise to numerous mobile phone-enabled services (m-services) in the areas of health, education, agriculture and entertainment. However, to date many of these services are barely scratching the...
Persistent link: https://www.econbiz.de/10010327476
Big data refers to the collection and aggregation of large quantities of data produced by and about people, things or the interactions between them. With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing...
Persistent link: https://www.econbiz.de/10012164310
Technological advancements and the amalgamation of several fields, including Advanced Robotics, Artificial Intelligence (AI), Big Data Analytics, Cyber Security, Cloud Computing, and Internet of Things (IoT) have brought the world on the cusp of a Fourth Industrial Revolution (FIR). This...
Persistent link: https://www.econbiz.de/10012490878
Die Statistik als fachliche Disziplin muss sich in einem rasch wandelnden Umfeld behaupten, das durch den Aufstieg der Data Science, den Bedeutungszuwachs der künstlichen Intelligenz sowie neue Datenstrukturen charakterisiert wird. Wie kann sich die Statistik hier behaupten oder verlorenes...
Persistent link: https://www.econbiz.de/10015166246