IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-38253-7_22.html
   My bibliography  Save this book chapter

Relationship Between Competitive Strategies of Small and Medium-Sized Polish International New Ventures and Their Market Performance: Cluster Analysis Approach

In: Advances in Cross-Section Data Methods in Applied Economic Research

Author

Listed:
  • Tomasz Sikora

    (Institute of International Management and Marketing, Warsaw School of Economics)

  • Ewa Baranowska-Prokop

    (Institute of International Management and Marketing, Warsaw School of Economics)

Abstract

The main goal of this paper is to analyze the relationship between competitive strategies and market performance for Polish small and medium-sized international new ventures (INVs). Three dimensions used for classification of strategies are: standardization–adaptation of products, differentiated versus nondifferentiated products and selling products to the whole market, to selected segments, or to a niche only. The applied research method is statistical analysis (SPSS) of data obtained from questionnaire distributed in 2018 (mixed mode: CATI + CAWI method) to respondents from representative sample of 297 Polish INVs. The relationship between variables related to strategies and market performance measures shows weak correlations in line with the hypotheses: positive correlations with increasing adaptation, positive correlations with increasing differentiation, positive correlations with broadening vision of the market. Cluster analysis made it possible to identify a disadvantageous mix of strategies: The strongest product standardization combined with the weakest product differentiation together with addressing commercial efforts to niche markets led to the lowest results on all market performance measures. A non-segmentation approach led to the best results in 3 out of 4 market performance measures.

Suggested Citation

  • Tomasz Sikora & Ewa Baranowska-Prokop, 2020. "Relationship Between Competitive Strategies of Small and Medium-Sized Polish International New Ventures and Their Market Performance: Cluster Analysis Approach," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Cross-Section Data Methods in Applied Economic Research, chapter 0, pages 355-371, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-38253-7_22
    DOI: 10.1007/978-3-030-38253-7_22
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-030-38253-7_22. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.