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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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Data analytics supports decentralized innovation
Wu, Lynn; Lou, Bowen; Hitt, Lorin M. - In: Management science : journal of the Institute for … 65 (2019) 10, pp. 4863-4877
Persistent link: https://www.econbiz.de/10012118140
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Big and lean is beautiful : a conceptual framework for data-based learning in marketing management
Soyer, Emre; Pauwels, Koen; Seggie, Steven H. - In: Marketing in a digital world, (pp. 63-83). 2019
Persistent link: https://www.econbiz.de/10012123418
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Big data analytics, firm size, and performance
Conti, Raffaele; Matos, Miguel Godinho de; Valentini, … - In: Strategy Science 9 (2024) 2, pp. 135-151
Persistent link: https://www.econbiz.de/10014633196
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Data analytics, innovation, and firm productivity
Wu, Lynn; Hitt, Lorin M.; Lou, Bowen - In: Management science : journal of the Institute for … 66 (2020) 5, pp. 2017-2039
Persistent link: https://www.econbiz.de/10012234746
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Use big data to leverage customer need diversity for radical innovation
Dean, Tereza; Zhang, Haisu; Xiao, Yazhen - In: Journal of marketing management : JMM ; journal of the … 39 (2023) 15/16, pp. 1620-1644
Persistent link: https://www.econbiz.de/10014450077
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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