IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v20y2017i2p169-196.html
   My bibliography  Save this article

An empirical study for finding factors that would optimise productivity and quality in IT business

Author

Listed:
  • Sanjay Mohapatra

Abstract

This research identifies parameters that would have combined effect on productivity and quality. There have been several studies on finding factors for productivity. But factors that would affect quality of deliverables and productivity need to be studied as we cannot ignore quality while increasing productivity. For the research, primary data from 136 software projects were analysed and multiple regression as a method with due diligence was applied to analyse the relationships. It was found that level of application complexity, experience in technology, training, level of client support, availability of testing tools and quality of document management system significantly affect productivity while only experience in domain and availability of testing tools significantly affect defect density (quality measure) in software development projects.

Suggested Citation

  • Sanjay Mohapatra, 2017. "An empirical study for finding factors that would optimise productivity and quality in IT business," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 20(2), pages 169-196.
  • Handle: RePEc:ids:ijpqma:v:20:y:2017:i:2:p:169-196
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=81475
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Sanjay Mohapatra, 2021. "Human and computer interaction in information system design for managing business," Information Systems and e-Business Management, Springer, vol. 19(1), pages 1-11, March.

    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:ijpqma:v:20:y:2017:i:2:p:169-196. 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=177 .

    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.