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Segmentation Analysis For Polish Digital Startups in Years 2015 and 2016 (Analiza segmentacyjna polskich startupow cyfrowych w latach 2015–2016)

Author

Listed:
  • Katarzyna Rostek

    (Warsaw University of Technology, Faculty of Management)

  • Agnieszka Skala

    (Warsaw University of Technology, Faculty of Managemeno)

Abstract

The largest study of the digital industry in Poland has been run since 2015 by the Startup Poland Foundation in cooperation with the researchers from the Warsaw University of Technology. Such studies are not easy to carry out because of the heterogeneity of the definitions of basic concepts, including the definition of a startup. This article presents a comparison of examples of this type of study carried out worldwide and identifies the main differences between them. On the basis of the data obtained from the Foundation’s research, a segmentation and comparative analysis of Polish startups was carried out, the results of which are presented in this article. Six main differentiating features of the defined segments were identified, of which the production of hardware by startups and cooperation with academia were of particular interest.

Suggested Citation

  • Katarzyna Rostek & Agnieszka Skala, 2018. "Segmentation Analysis For Polish Digital Startups in Years 2015 and 2016 (Analiza segmentacyjna polskich startupow cyfrowych w latach 2015–2016)," Research Reports, University of Warsaw, Faculty of Management, vol. 1(26), pages 55-67.
    • Handle: RePEc:sgm:resrep:v:1:i:26:y:2018:p:55-67
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    File URL: http://www.sim.wz.uw.edu.pl/sites/default/files/artykuly/katarzyna_rostek_agnieszka_skala.pdf
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    References listed on IDEAS

    as
    1. Islam, Mazhar & Fremeth, Adam & Marcus, Alfred, 2018. "Signaling by early stage startups: US government research grants and venture capital funding," Journal of Business Venturing, Elsevier, vol. 33(1), pages 35-51.
    2. Hyytinen, Ari & Pajarinen, Mika & Rouvinen, Petri, 2015. "Does innovativeness reduce startup survival rates?," Journal of Business Venturing, Elsevier, vol. 30(4), pages 564-581.
    3. Katarzyna Rostek & Agnieszka Skala, 2017. "Differentiating Criteria and Segmentation of Polish Startup Companies," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 15(65), pages 192-208.
    4. Cassar, Gavin, 2014. "Industry and startup experience on entrepreneur forecast performance in new firms," Journal of Business Venturing, Elsevier, vol. 29(1), pages 137-151.
    5. John Stayton & Vincent Mangematin, 2016. "Startup time, innovation and organizational emergence: A study of USA-based international technology ventures," Journal of International Entrepreneurship, Springer, vol. 14(3), pages 373-409, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    startup; segmentation; clustering; SOM Kohonen; characteristics; digital;
    All these keywords.

    JEL classification:

    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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