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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

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

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

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

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

Mapping the conceptual structure of innovation in artificial intelligence research : a bibliometric analysis and systematic literature review

Obreja, Dragoș M.; Rughiniș, Răzvan; Rosner, Daniel - In: Journal of innovation & knowledge : JIK 9 (2024) 1, pp. 1-15

," "performance," "future," and "impact" are the most frequently used when discussing innovation and AI. According to our time … an important emphasis on ethical/moral dimensions conducive to slow innovation principles. We also observe a growing …

Persistent link: https://www.econbiz.de/10014507082

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

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

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

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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