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Jan Kinne

Personal Details

First Name:Jan
Middle Name:
Last Name:Kinne
Suffix:
RePEc Short-ID:pki520
http://www.zew.de/en/team/jki/

Affiliation

Leibniz-Zentrum für Europäische Wirtschaftsforschung (ZEW)

Mannheim, Germany
http://www.zew.de/
RePEc:edi:zemande (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Kinne, Jan & Lenz, David, 2019. "Predicting innovative firms using web mining and deep learning," ZEW Discussion Papers 19-001, ZEW - Leibniz Centre for European Economic Research.
  2. 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.
  3. Kinne, Jan & Resch, Bernd, 2017. "Analysing and predicting micro-location patterns of software firms," ZEW Discussion Papers 17-063, ZEW - Leibniz Centre for European Economic Research.
  4. Rammer, Christian & Kinne, Jan & Blind, Knut, 2016. "Microgeography of innovation in the city: Location patterns of innovative firms in Berlin," ZEW Discussion Papers 16-080, ZEW - Leibniz Centre for European Economic Research.

Articles

  1. Kinne, Jan, 2016. "Räumliche Analysen mit dem Mannheimer Unternehmenspanel," JUNGE UNTERNEHMEN: Fakten, Analysen, Perspektiven, ZEW - Leibniz Centre for European Economic Research, vol. 16(5), pages 3-4.
  2. Kinne, Jan, 2016. "Regionale Spezialisierung bei Gründungen der Softwarebranche," JUNGE UNTERNEHMEN: Fakten, Analysen, Perspektiven, ZEW - Leibniz Centre for European Economic Research, vol. 16(6), pages 1-3.

Books

  1. Koch, Tobias & Egeln, Jürgen & Diekhof, Josefine & Kinne, Jan & Koll, Friedemann & Kramer, Jan-Philipp & Neumann, Marion & Rammer, Christian & Reisch, Melanie & Schwarze, Hinrich, 2018. "Moderations- und Explorationsstudie: Regionale Innovationssysteme in Baden-Württemberg - Bestandsaufnahme und Schlussfolgerungen," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 180899, September.
  2. Gottschalk, Sandra & Egeln, Jürgen & Kinne, Jan & Hauer, Annegret & Keese, Detlef & Oehme, Marie, 2017. "Die volkswirtschaftliche Bedeutung der Familienunternehmen (4. Auflage)," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 162724, September.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Kinne, Jan & Lenz, David, 2019. "Predicting innovative firms using web mining and deep learning," ZEW Discussion Papers 19-001, ZEW - Leibniz Centre for European Economic Research.

    Cited by:

    1. Carolina Castaldi & Sandro Mendonca, 2021. "Regions and trademarks. Research opportunities and policy insights from leveraging trademarks in regional innovation studies," Papers in Evolutionary Economic Geography (PEEG) 2138, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2021.
    2. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Using Deep Learning Neural Networks to Predict the Knowledge Economy Index for Developing and Emerging Economies," MPRA Paper 109137, University Library of Munich, Germany.
    3. 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.
    4. Diane Coyle & David Nguyen, 2019. "No plant, no problem? Factoryless manufacturing and economic measurement," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-15, Economic Statistics Centre of Excellence (ESCoE).
    5. 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.
    6. Breithaupt, Patrick & Kesler, Reinhold & Niebel, Thomas & Rammer, Christian, 2020. "Intangible capital indicators based on web scraping of social media," ZEW Discussion Papers 20-046, ZEW - Leibniz Centre for European Economic Research.
    7. Julian Schwierzy & Robert Dehghan & Sebastian Schmidt & Elisa Rodepeter & Andreas Stoemmer & Kaan Uctum & Jan Kinne & David Lenz & Hanna Hottenrott, 2022. "Technology Mapping Using WebAI: The Case of 3D Printing," Papers 2201.01125, arXiv.org.
    8. Nathan, Max & Rosso, Anna, 2022. "Innovative events: product launches, innovation and firm performance," Research Policy, Elsevier, vol. 51(1).
    9. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
    10. 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).
    11. 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.
    12. 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).

  2. 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.

    Cited by:

    1. 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).
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    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).
    13. 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).

  3. Kinne, Jan & Resch, Bernd, 2017. "Analysing and predicting micro-location patterns of software firms," ZEW Discussion Papers 17-063, ZEW - Leibniz Centre for European Economic Research.

    Cited by:

    1. Jan Ženka & Ondřej Slach & Igor Ivan, 2020. "Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    2. Kuebart, Andreas, 2022. "Open creative labs as functional infrastructure for entrepreneurial ecosystems: Using sequence analysis to explore tempo-spatial trajectories of startups in Berlin," Research Policy, Elsevier, vol. 51(9).
    3. Jan Ženka & Luděk Krtička & Lenka Paszová & Tereza Pundová & Kateřina Rudincová & Simona Šťastná & Veronika Svetlíková & Jan Matula, 2021. "Micro-Geographies of Information and Communication Technology Firms in a Shrinking Medium-Sized Industrial City of Ostrava (Czechia)," Land, MDPI, vol. 10(7), pages 1-26, July.

  4. Rammer, Christian & Kinne, Jan & Blind, Knut, 2016. "Microgeography of innovation in the city: Location patterns of innovative firms in Berlin," ZEW Discussion Papers 16-080, ZEW - Leibniz Centre for European Economic Research.

    Cited by:

    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.
    2. Kinne, Jan & Resch, Bernd, 2017. "Analysing and predicting micro-location patterns of software firms," ZEW Discussion Papers 17-063, ZEW - Leibniz Centre for European Economic Research.
    3. Franck Cochoy, 2020. "Open-display and the ‘re-agencing’ of the American economy: Lessons from a ‘pico-geography’ of grocery stores in the USA, 1922–1932," Environment and Planning A, , vol. 52(1), pages 148-172, February.
    4. Coll Martínez, Eva, 2018. "Creativity and entrepreneurship: Empirical evidence for Catalonia," Working Papers 2072/306521, Universitat Rovira i Virgili, Department of Economics.

Articles

    Sorry, no citations of articles recorded.

Books

  1. Gottschalk, Sandra & Egeln, Jürgen & Kinne, Jan & Hauer, Annegret & Keese, Detlef & Oehme, Marie, 2017. "Die volkswirtschaftliche Bedeutung der Familienunternehmen (4. Auflage)," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 162724, September.

    Cited by:

    1. Lenz Regina & Schormüller Claudia & Glückler Johannes, 2020. "Legitimation strategies in an emerging field: family firm succession consultancy in Germany," ZFW – Advances in Economic Geography, De Gruyter, vol. 64(2), pages 58-73, June.
    2. Wohlrabe, Klaus & Rathje, Ann-Christin & Hannich, Ute, 2017. "Investitionsverhalten und dessen Einflussfaktoren: Jahresmonitor der Stiftung Familienunternehmen," Studien, Stiftung Familienunternehmen / Foundation for Family Businesses, number 250027, June.
    3. Wohlrabe, Klaus & Rathje, Ann-Christin & Hannich, Ute, 2018. "Der internationale Steuerwettbewerb aus Unternehmenssicht: Jahresmonitor der Stiftung Familienunternehmen," Studien, Stiftung Familienunternehmen / Foundation for Family Businesses, number 250031, June.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (3) 2017-12-18 2018-09-03 2019-02-04. Author is listed
  2. NEP-CMP: Computational Economics (2) 2018-09-03 2019-02-04. Author is listed
  3. NEP-GEO: Economic Geography (2) 2016-12-18 2017-12-18. Author is listed
  4. NEP-INO: Innovation (2) 2016-12-18 2019-02-04. Author is listed
  5. NEP-SBM: Small Business Management (2) 2016-12-18 2019-02-04. Author is listed
  6. NEP-TID: Technology and Industrial Dynamics (2) 2016-12-18 2019-02-04. Author is listed
  7. NEP-BEC: Business Economics (1) 2019-02-04. Author is listed
  8. NEP-CSE: Economics of Strategic Management (1) 2016-12-18. Author is listed
  9. NEP-ENT: Entrepreneurship (1) 2016-12-18. Author is listed
  10. NEP-ICT: Information and Communication Technologies (1) 2018-09-03. Author is listed
  11. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2019-02-04. Author is listed
  12. NEP-URE: Urban and Real Estate Economics (1) 2017-12-18. Author is listed

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