IDEAS home Printed from https://ideas.repec.org/a/ids/ijmdma/v11y2011i5-6p417-437.html
   My bibliography  Save this article

Probabilistic comparison of call centres in a group decision process

Author

Listed:
  • Annibal Parracho Sant'Anna
  • Felipe Quintas Conde

Abstract

This article presents a methodology to compare call centres performances efficiently and systematically. Three units attending the calls of clients of a telephonic services company are comparatively evaluated. The approach proposed contemplates, besides information on costs, the analysis of criteria associated to the clients' satisfaction and seasonal factors affecting the demand for the service. An analysis based on a probabilistic composition of preference criteria is developed, which results in ranking, according to different points of view, the performances of the different service centres along the year. Different forms of composition treat quality and cost criteria together and separately. The results of the application of these different forms of composition are employed in a group decision process.

Suggested Citation

  • Annibal Parracho Sant'Anna & Felipe Quintas Conde, 2011. "Probabilistic comparison of call centres in a group decision process," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 11(5/6), pages 417-437.
  • Handle: RePEc:ids:ijmdma:v:11:y:2011:i:5/6:p:417-437
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=43398
    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. Bárbara de Oliveira Vieira & Patricia Guarnieri & Lucio Camara e Silva & Solange Alfinito, 2020. "Prioritizing Barriers to Be Solved to the Implementation of Reverse Logistics of E-Waste in Brazil under a Multicriteria Decision Aid Approach," Sustainability, MDPI, vol. 12(10), pages 1-30, May.
    2. Annibal Parracho Sant’Anna & Gilson Brito Alves Lima & Leonardo Augusto da Fonseca Parracho Sant’Anna & Luiz Octávio Gavião, 2020. "Two-Stage Composition of Probabilistic Preferences," Annals of Data Science, Springer, vol. 7(3), pages 491-523, September.

    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:ijmdma:v:11:y:2011:i:5/6:p:417-437. 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=19 .

    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.