IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v133y2018icp229-237.html
   My bibliography  Save this article

The diminishing effect of VC reputation: Is it hypercompetition?

Author

Listed:
  • Mahto, Raj V.
  • Ahluwalia, Saurabh
  • Walsh, Steve T.

Abstract

Venture Capital (VC) influence on Technology Entrepreneurship (TE) and economic development has prompted policy makers to devote significant resources for attracting VCs to their area, especially VCs with a higher reputation. The VC literature has traditionally supported the importance of VC firm reputation to success of entrepreneurial firms and entrepreneurial activity in a region. The VC industry structure, where the VC firm reputation strongly determines their power and investment returns, seems to have remained isolated from the disruptive influences of hypercompetition affecting other industries. But, this assumption remains untested. Our goal in this study is to assess if VC industry is changing and becoming more hypercompetitive. We empirically assess the influence of VC reputation by studying its impact on the success of portfolio companies over a 24-year period from 1990 to 2013. More specifically, we assess whether ventures backed by high reputation VCs have better post Initial Public Offering (IPO) performances than ventures backed by low reputation VCs. Our findings indicate that while VC reputation was strongly associated with portfolio company success in the past, its impact has diminished significantly in recently.

Suggested Citation

  • Mahto, Raj V. & Ahluwalia, Saurabh & Walsh, Steve T., 2018. "The diminishing effect of VC reputation: Is it hypercompetition?," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 229-237.
  • Handle: RePEc:eee:tefoso:v:133:y:2018:i:c:p:229-237
    DOI: 10.1016/j.techfore.2018.04.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162516308526
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2018.04.018?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
    ---><---

    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. Chammassian, Raffi Gabriel & Sabatier, Valerie, 2020. "The role of costs in business model design for early-stage technology startups," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    2. Soluk, Jonas & Decker-Lange, Carolin & Hack, Andreas, 2023. "Small steps for the big hit: A dynamic capabilities perspective on business networks and non-disruptive digital technologies in SMEs," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    3. Elia, Stefano & Giuffrida, Maria & Mariani, Marcello M. & Bresciani, Stefano, 2021. "Resources and digital export: An RBV perspective on the role of digital technologies and capabilities in cross-border e-commerce," Journal of Business Research, Elsevier, vol. 132(C), pages 158-169.
    4. Maurer, Joshua D. & Creek, Steven A. & Bendickson, Joshua S. & McDowell, William C. & Mahto, Raj V., 2022. "The three pillars’ impact on entrepreneurial activity and funding: A country-level examination," Journal of Business Research, Elsevier, vol. 142(C), pages 808-818.
    5. Wang, Wei & Liang, Qiaozhuan & Mahto, Raj V. & Deng, Wei & Zhang, Stephen X., 2020. "Entrepreneurial entry: The role of social media," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Dunne, Timothy C. & Clark, Brent B. & Berns, John P. & McDowell, William C., 2019. "The technology bias in entrepreneur-investor negotiations," Journal of Business Research, Elsevier, vol. 105(C), pages 258-269.
    7. Ahluwalia, Saurabh & Mahto, Raj V. & Guerrero, Maribel, 2020. "Blockchain technology and startup financing: A transaction cost economics perspective," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    8. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis, 2022. "SME entrepreneurship and digitalization – the potentialities and moderating role of demographic factors," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    9. Maresch, Daniela & Leo, Hannes & Walsh, Steven T., 2023. "Hotspurs in, sober bores out: A call and an agenda for entrepreneurship and innovation policies that foster rapidly scaling ventures," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

    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:eee:tefoso:v:133:y:2018:i:c:p:229-237. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.