IDEAS home Printed from https://ideas.repec.org/a/igg/jeis00/v12y2016i2p47-65.html
   My bibliography  Save this article

Exploring the Effectiveness of IT Application and Value Method in the Innovation Performance of Enterprise

Author

Listed:
  • Larry Jung-Hsing Lee

    (Department of Business Administration, National Central University, Taoyuan County, Taiwan)

  • Jun-Der Leu

    (Department of Business Administration, National Central University, Taoyuan County, Taiwan)

Abstract

In this study, the authors used the variable-benchmark data envelopment analysis method to study the innovation performance of an enterprise. In the proposed model, information technology, value proposition, value study, and team activities were the input factors, and product model change, product function upgrade, and production cost reduction were the output factors. A total of 176 effective enterprise samples collected from five industries were analysed, and the results showed that the use of a value method and information technology had a synergistic effect on the innovation performance of enterprises; however, the synergistic effect on different industry sectors was not identical. Furthermore, the innovation performance of large enterprises was quite similar to that of small and medium-sized enterprises in most industry sectors, except the service and nonprofit industries. The theoretical and practical implications of these results are discussed.

Suggested Citation

  • Larry Jung-Hsing Lee & Jun-Der Leu, 2016. "Exploring the Effectiveness of IT Application and Value Method in the Innovation Performance of Enterprise," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 12(2), pages 47-65, April.
  • Handle: RePEc:igg:jeis00:v:12:y:2016:i:2:p:47-65
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEIS.2016040104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jeis00:v:12:y:2016:i:2:p:47-65. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.