IDEAS home Printed from https://ideas.repec.org/a/ids/ijesbu/v42y2021i4p397-421.html
   My bibliography  Save this article

Critical success factors for technology-based startups

Author

Listed:
  • José Santisteban
  • David Mauricio
  • Orestes Cachay

Abstract

Technology-based startups (TBSs) significantly contribute to the generation of jobs and economic development; therefore, the success of these companies should be guaranteed. However, despite their importance, TBSs have a high failure rate worldwide. The objective of this study is to identify CSFs for TBSs based on the analysis of the information systems theory, as well as theories on human, social, and organisational behaviour. This descriptive empirical study performed a simple correspondence analysis of the perceptions of 125 CEOs of TBSs located in Peru using student's t-test. The following effects were identified: technological surveillance → knowledge absorptive capacity, knowledge absorptive capacity → perceived performance of a product and/or service, knowledge absorptive capacity → dynamic capability, knowledge absorptive capacity → innovative and entrepreneurial culture, the perceived performance of a product and/or service → customer satisfaction, and the quality of a product and/or service → customer satisfaction. The results of the simple correspondence analysis showed that all identified relationships were valid using student's t-test at a 95% confidence level, with a high or very high effect, except for the impact of knowledge absorptive capacity on the innovative and entrepreneurial culture. This study identified ten CSFs for TBSs.

Suggested Citation

  • José Santisteban & David Mauricio & Orestes Cachay, 2021. "Critical success factors for technology-based startups," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 42(4), pages 397-421.
  • Handle: RePEc:ids:ijesbu:v:42:y:2021:i:4:p:397-421
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=114266
    Download Restriction: Open Access
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Lele Cao & Vilhelm von Ehrenheim & Sebastian Krakowski & Xiaoxue Li & Alexandra Lutz, 2022. "Using Deep Learning to Find the Next Unicorn: A Practical Synthesis," Papers 2210.14195, arXiv.org.
    2. Ke Zhang & Shunmin Wang & Yuanyu Yu, 2023. "A TBGAV-Based Image-Text Multimodal Sentiment Analysis Method for Tourism Reviews," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 18(1), pages 1-17, January.
    3. Mungila Hillemane Bala Subrahmanya, 2022. "Competitiveness of High-Tech Start-Ups and Entrepreneurial Ecosystems: An Overview," International Journal of Global Business and Competitiveness, Springer, vol. 17(1), pages 1-10, June.
    4. Lele Cao & Gustaf Halvardsson & Andrew McCornack & Vilhelm von Ehrenheim & Pawel Herman, 2023. "Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer," Papers 2309.16888, arXiv.org.

    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:ids:ijesbu:v:42:y:2021:i:4:p:397-421. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=74 .

    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.