IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v79y2012i4p700-708.html
   My bibliography  Save this article

Information technology innovation in India: The top 100 IT firms

Author

Listed:
  • Wang, Yu-Lin
  • Huang, Shihping
  • Wu, Yen-Chun Jim

Abstract

Patents serve as an indicator of the innovation capability of countries, industries, or firms. Many Indian firms are in a transition to move from labor intensive segments to areas with higher value added which has been reflected in this research. The purpose of this study is to analyze patents issued during the period of 1997–2009 from the European Patent Office database and the United States Patent and Trademark Office database from the top one hundred Indian information technology firms. This study represents a novel empirical look at information technology industry innovations in India. A comprehensive set of statistical patent analyses are presented to provide practitioners with valuable knowledge to assist in business strategic planning.

Suggested Citation

  • Wang, Yu-Lin & Huang, Shihping & Wu, Yen-Chun Jim, 2012. "Information technology innovation in India: The top 100 IT firms," Technological Forecasting and Social Change, Elsevier, vol. 79(4), pages 700-708.
  • Handle: RePEc:eee:tefoso:v:79:y:2012:i:4:p:700-708
    DOI: 10.1016/j.techfore.2011.10.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016251100223X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2011.10.009?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. Altuntas, Serkan & Dereli, Turkay & Kusiak, Andrew, 2015. "Analysis of patent documents with weighted association rules," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 249-262.

    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:79:y:2012:i:4:p:700-708. 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.