IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/ryxdk.html
   My bibliography  Save this paper

Mapping without a map: Exploring the UK business landscape using unsupervised learning

Author

Listed:
  • Stathoulopoulos, Kostas
  • Mateos-Garcia, Juan

Abstract

Policy interventions have to be timely and tailored to specific sectors of the economic ecosystem to maximise their potential impact. We propose a system based on open data that offers policy makers two capabilities. First, it enables them to explore the digital and tech company space with high granularity through keywords, specific technologies or company names, and identify relevant organisations and those most similar to them. Second, it provides an overview of the ecosystem by creating thematic topics that characterise the activities of these companies. We demonstrate the effectiveness of this system in three activity areas not currently captured in the SIC codes.

Suggested Citation

  • Stathoulopoulos, Kostas & Mateos-Garcia, Juan, 2017. "Mapping without a map: Exploring the UK business landscape using unsupervised learning," SocArXiv ryxdk, Center for Open Science.
  • Handle: RePEc:osf:socarx:ryxdk
    DOI: 10.31219/osf.io/ryxdk
    as

    Download full text from publisher

    File URL: https://osf.io/download/5a16e2896c613b026f5d22a6/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/ryxdk?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
    2. Borrás, Susana & Edquist, Charles, 2013. "The choice of innovation policy instruments," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1513-1522.
    3. Timothy Besley & Miguel Coelho & John Van Reenen, 2013. "Investing for Prosperity: Skills, Infrastructure and Innovation," National Institute Economic Review, National Institute of Economic and Social Research, vol. 224(1), pages 1-13, May.
    4. Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
    5. Abdullah Gök & Alec Waterworth & Philip Shapira, 2015. "Use of web mining in studying innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 653-671, January.
    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. David Lenz & Peter Winker, 2020. "Measuring the diffusion of innovations with paragraph vector topic models," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-18, January.

    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. Alessandro Marra & Vittorio Carlei & Cristiano Baldassari, 2020. "Exploring networks of proximity for partner selection, firms' collaboration and knowledge exchange. The case of clean‐tech industry," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1034-1044, March.
    2. Liotard, Isabelle & Revest, Valérie, 2018. "Contests as innovation policy instruments: Lessons from the US federal agencies' experience," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 57-69.
    3. Reichardt, Kristin & Rogge, Karoline S. & Negro, Simona, 2015. "Unpacking the policy processes for addressing systemic problems: The case of the technological innovation system of offshore wind in Germany," Working Papers "Sustainability and Innovation" S2/2015, Fraunhofer Institute for Systems and Innovation Research (ISI).
    4. Bhardwaj, Chandan & Axsen, Jonn & Kern, Florian & McCollum, David, 2020. "Why have multiple climate policies for light-duty vehicles? Policy mix rationales, interactions and research gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 309-326.
    5. Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
    6. Hector Espinoza & Stefan Speckesser, 2019. "A Comparison of Earnings Related to Higher Level Vocational/Technical and Academic Education," National Institute of Economic and Social Research (NIESR) Discussion Papers 502, National Institute of Economic and Social Research.
    7. Caloffi, Annalisa & Freo, Marzia & Ghinoi, Stefano & Mariani, Marco & Rossi, Federica, 2022. "Assessing the effects of a deliberate policy mix: The case of technology and innovation advisory services and innovation vouchers," Research Policy, Elsevier, vol. 51(6).
    8. Giliberto Capano & Andrea Lippi, 2017. "How policy instruments are chosen: patterns of decision makers’ choices," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(2), pages 269-293, June.
    9. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    10. Dziallas, Marisa & Blind, Knut, 2019. "Innovation indicators throughout the innovation process: An extensive literature analysis," Technovation, Elsevier, vol. 80, pages 3-29.
    11. Hans Pohl, 2021. "Internationalisation, innovation, and academic–corporate co-publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1329-1358, February.
    12. Li, Yin & Arora, Sanjay & Youtie, Jan & Shapira, Philip, 2018. "Using web mining to explore Triple Helix influences on growth in small and mid-size firms," Technovation, Elsevier, vol. 76, pages 3-14.
    13. Xu, Lei & Su, Jun, 2016. "From government to market and from producer to consumer: Transition of policy mix towards clean mobility in China," Energy Policy, Elsevier, vol. 96(C), pages 328-340.
    14. Hellsmark, Hans & Frishammar, Johan & Söderholm, Patrik & Ylinenpää, Håkan, 2016. "The role of pilot and demonstration plants in technology development and innovation policy," Research Policy, Elsevier, vol. 45(9), pages 1743-1761.
    15. Bernd Ebersberger & Nils Mevenkamp, 2016. "Open Innovation in Eastern Europe and Central Asia," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 5(2), pages 8-19, October.
    16. 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.
    17. Nathan, Max & Rosso, Anna, 2014. "Mapping information economy businesses with big data: findings from the UK," LSE Research Online Documents on Economics 60615, London School of Economics and Political Science, LSE Library.
    18. Emmanuel Muller & Andrea Zenker & Miriam Hufnagl & Jean-Alain Héraud & Esther Schnabl & Teemu Makkonen & Henning Kroll, 2017. "Smart specialisation strategies and cross-border integration of regional innovation systems: Policy dynamics and challenges for the Upper Rhine," Environment and Planning C, , vol. 35(4), pages 684-702, June.
    19. Alessandra Colombelli & Francesco Quatraro, 2013. "New Firm Formation and the properties of local knowledge bases: Evidence from Italian NUTS 3 regions," Working Papers hal-00858989, HAL.
    20. Jose Guimon, 2014. "Regional Inovation Policy and Multilevel Governance in Developing Countries," World Bank Publications - Reports 23655, The World Bank Group.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:osf:socarx:ryxdk. 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: OSF (email available below). General contact details of provider: https://arabixiv.org .

    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.