Web mining of firm websites: A framework for web scraping and a pilot study for Germany
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- Proeger, Till & Meub, Lukas & Pölert, Hauke, 2021. "Analyse des Digitalisierungsgrads von Bildungseinrichtungen auf Basis von Webscraping - eine methodische Vorstudie," Göttinger Beiträge zur Handwerksforschung 56, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
- Janna Axenbeck & Patrick Breithaupt, 2021. "Innovation indicators based on firm websites—Which website characteristics predict firm-level innovation activity?," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-23, April.
- Jan Kinne & David Lenz, 2021. "Predicting innovative firms using web mining and deep learning," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-18, April.
- Axenbeck, Janna & Breithaupt, Patrick, 2019. "Web-based innovation indicators: Which firm website characteristics relate to firm-level innovation activity?," ZEW Discussion Papers 19-063, ZEW - Leibniz Centre for European Economic Research.
- Abbasiharofteh, Milad & Kinne, Jan & Krüger, Miriam, 2021. "The strength of weak and strong ties in bridging geographic and cognitive distances," ZEW Discussion Papers 21-049, ZEW - Leibniz Centre for European Economic Research.
- German Data Forum RatSWD (ed.), 2020. "Big data in social, behavioural, and economic sciences: Data access and research data management," RatSWD Output Series, German Data Forum (RatSWD), volume 6, number 6-4en, December.
- Meub, Lukas & Proeger, Till & Bizer, Kilian, 2022. "Vernetzung von Unternehmen und Forschungseinrichtungen in regionalen Innovationssystemen durch Webscraping," Göttinger Beiträge zur Handwerksforschung 62, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
- Rammer, Christian & Es-Sadki, Nordine, 2022. "Using big data for generating firm-level innovation indicators: A literature review," ZEW Discussion Papers 22-007, ZEW - Leibniz Centre for European Economic Research.
- Proeger, Till & Meub, Lukas & Bizer, Kilian, 2021. "Webscraping als Instrument zur tagesaktuellen und umfassenden digitalen Analyse des Handwerks," Göttinger Beiträge zur Handwerksforschung 55, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
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More about this item
Keywords
Web Mining; Web Scraping; R&D; R&I; STI; Innovation; Indicators; Text Mining;All these keywords.
JEL classification:
- O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2018-09-03 (Big Data)
- NEP-CMP-2018-09-03 (Computational Economics)
- NEP-ICT-2018-09-03 (Information & Communication Technologies)
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