IDEAS home Printed from https://ideas.repec.org/p/zbw/zewexb/2005e.html
   My bibliography  Save this paper

Coronavirus pandemic affects companies differently: A high-frequency website analysis of companies' reactions to the coronavirus pandemic in Germany

Author

Listed:
  • Kinne, Jan
  • Krüger, Miriam
  • Lenz, David
  • Licht, Georg
  • Winker, Peter

Abstract

In this ZEW short report, the authors analyze the websites of approximately 1.1 million German companies twice a week for references of the word "Corona" and corresponding synonyms. The identified text passages are then evaluated using AI text analysis models to determine the context of the references. This procedure allows to assess the impact of the corona pandemic on companies in Germany in a timely and comprehensive manner.

Suggested Citation

  • Kinne, Jan & Krüger, Miriam & Lenz, David & Licht, Georg & Winker, Peter, 2020. "Coronavirus pandemic affects companies differently: A high-frequency website analysis of companies' reactions to the coronavirus pandemic in Germany," ZEW Expert Briefs 20-05e, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewexb:2005e
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/271620/1/zew-exp202005e.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kinne, Jan & Axenbeck, Janna, 2018. "Web mining of firm websites: A framework for web scraping and a pilot study for Germany," ZEW Discussion Papers 18-033, ZEW - Leibniz Centre for European Economic Research.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    4. Meub, Lukas & Proeger, Till & Fuhrich, Svenja & Ullrich, Matthias & Bizer, Kilian, 2023. "Zukunftsfelder für Smart City: Eine Webscraping-Analyse von Betrieben und Organisationen der Landkreise Hildesheim, Peine und der Region Hannover," ifh Forschungsberichte 15, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
    5. 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).
    6. Böhmecke-Schwafert, Moritz & García Moreno, Eduardo, 2023. "Exploring blockchain-based innovations for economic and sustainable development in the global south: A mixed-method approach based on web mining and topic modeling," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    7. 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.
    8. Proeger, Till & Meub, Lukas, 2022. "Innovative Betriebe und Innovationsmuster im Hamburger Handwerk," ifh Forschungsberichte 7, Volkswirtschaftliches Institut für Mittelstand und Handwerk an der Universität Göttingen (ifh).
    9. 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.
    10. 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.
    11. 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.
    12. 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).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:zewexb:2005e. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.