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Using big data for generating firm-level innovation indicators : a literature review
Rammer, Christian; Es-Sadki, Nordine - 2022
Obtaining indicators on innovation activities of firms has been a challenge in economic research for a long time. The … throughputs in the innovation process. Output measurement of innovation has strongly been relying on survey data such as the … Community Innovation Survey (CIS), but suffers from several short-comings typical to sample surveys, including incomplete …
Persistent link: https://www.econbiz.de/10012888552
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Creating data from unstructured text with Context Rule Assisted Machine Learning (CRAML)
Meisenbacher, Stephen; Norlander, Peter - 2022
Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that...
Persistent link: https://www.econbiz.de/10013470898
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Understanding big data : data calculus in the digital era
Bolton, Patrick; Holmström, Bengt; Maskin, Eric; … - 2021 - This version is updated on February 5, 2021
Information processing has been defined as “the change (processing) of information in any manner detectable by an observer, a process that describes everything that happens in the universe, from the falling of a rock to the printing of a text file from a digital computer system.” Human...
Persistent link: https://www.econbiz.de/10012593928
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Web mining of firm websites : a framework for web scraping and a pilot study for Germany
Kinne, Jan; Axenbeck, Janna - 2018
products and services. Using the example of innovation in firms, we outline a framework for extracting information from firm …
Persistent link: https://www.econbiz.de/10011892694
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Predicting innovative firms using web mining and deep learning
Kinne, Jan; Lenz, David - 2019
Innovation is considered as a main driver of economic growth. Promoting the development of innovation through STI … (science, technology and innovation) policies requires accurate indicators of innovation. Traditional indicators often lack …. In this paper, we propose a novel approach on how to create firm-level innovation indicators at the scale of millions of …
Persistent link: https://www.econbiz.de/10011959904
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Mapping "information economy" businesses with big data : findings for the UK
Nathan, Max; Rosso, Anna; Bouet, Francois - 2014
Governments around the world want to develop their ICT and digital industries. Policymakers thus need a clear sense of the size and characteristics of digital businesses, but this is hard to do with conventional datasets and industry codes. This paper uses innovative "big data" resources to...
Persistent link: https://www.econbiz.de/10010440545
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Satellites turn "concrete" : tracking cement with satellite data and neural networks
D'Aspremont, Alexandre; Arous, Simon Ben; Bricongne, … - 2024
This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...
Persistent link: https://www.econbiz.de/10014484491
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Privacy laws and value of personal data
Canayaz, Mehmet; Kantorovitch, Ilja; Mihet, Roxana; … - 2021
We analyze how the adoption of the California Consumer Protection Act (CCPA), which limits buying or selling consumer data, heterogeneously affects firms with and without previously gathered data on consumers. Exploiting a novel and hand-collected data set of 11,436 conversational-AI firms with...
Persistent link: https://www.econbiz.de/10012800460
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The digital layer : how innovative firms relate on the web
Krüger, Miriam; Kinne, Jan; Lenz, David; Resch, Bernd - 2020
within the Digital Layer. The firm-level innovation indicators in this study come from traditional sources (survey and patent …
Persistent link: https://www.econbiz.de/10012150751
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Measuring the digitalisation of firms : a novel text mining approach
Axenbeck, Janna; Breithaupt, Patrick - 2022
Due to the omnipresence of digital technologies in the economy, measuring firm digitalisation is of high importance. However, current indicators show several shortcomings, e.g., they lack timeliness and regional granularity. In this study, we show that advances in text mining and comprehensive...
Persistent link: https://www.econbiz.de/10013473235