IDEAS home Printed from https://ideas.repec.org/a/igg/jeis00/v12y2016i1p1-20.html
   My bibliography  Save this article

Measuring and Evaluating Efficiency on IT Outsourcing operations through Data Envelopment Analysis

Author

Listed:
  • João Correia dos Santos

    (Department of Management Science, Instituto Superior Técnico, Lisbon, Portugal)

  • Miguel Mira da Silva

    (Department of Computing Engineering, Instituto Superior Técnico, Lisbon, Portugal)

Abstract

Information Technology (IT) outsourcing is a set of IT services that require providers to manage a long relationship with multiple services that have a high degree of variance between clients. IT outsourcing operational contexts display multi-input and multi-output variables, so managers need guidance on developing suitable approaches in order to identify the set of variables to analyse. This work proposes a model based on Data Envelopment Analysis (DEA), which is a linear programming technique able to manipulate multiple inputs and outputs. DEA allows the identification of the most efficient operation, which in turn enables providers to set the best operational strategy to follow. The results demonstrate the importance of quantitative measures in a dynamic business environment like IT outsourcing. To develop the authors' research, design science research was applied, and eighteen IT outsourcing contracts were used to demonstrate their model's utility. This work is a major contribution for measuring efficiency in IT outsourcing operations.

Suggested Citation

  • João Correia dos Santos & Miguel Mira da Silva, 2016. "Measuring and Evaluating Efficiency on IT Outsourcing operations through Data Envelopment Analysis," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 12(1), pages 1-20, January.
    • Handle: RePEc:igg:jeis00:v:12:y:2016:i:1:p:1-20
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijeis.2016010101
    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:1:p:1-20. 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.