IDEAS home Printed from
   My bibliography  Save this article

Testing the accuracy of employee-reported data: An inexpensive alternative approach to traditional methods


  • Hales, Douglas N.
  • Sridharan, V.
  • Radhakrishnan, Abirami
  • Chakravorty, Satya S.
  • Siha, Samia M.


Although Information Technology (IT) solutions improve the collection and validation of operational data, Operations Managers must often rely on self-reported data from workers to make decisions. The problem with this data is that they are subject to intentional manipulation, thus reducing their suitability for decision-making. A method of identifying manipulated data, digital analysis, addresses this problem at low cost. In this paper, we demonstrate how one uses this method in real-world companies to validate self-reported data from line workers. The results of our study suggest that digital analysis estimates the accuracy of employee reported data in operations management, within limited contexts. These findings lead to improved operating performance by providing a tool for practitioners to exclude inaccurate information.

Suggested Citation

  • Hales, Douglas N. & Sridharan, V. & Radhakrishnan, Abirami & Chakravorty, Satya S. & Siha, Samia M., 2008. "Testing the accuracy of employee-reported data: An inexpensive alternative approach to traditional methods," European Journal of Operational Research, Elsevier, vol. 189(3), pages 583-593, September.
  • Handle: RePEc:eee:ejores:v:189:y:2008:i:3:p:583-593

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. S.J. Rassenti & V.L. Smith & R.L. Bulfin, 1982. "A Combinatorial Auction Mechanism for Airport Time Slot Allocation," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 402-417, Autumn.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. repec:spr:scient:v:88:y:2011:i:2:d:10.1007_s11192-011-0387-9 is not listed on IDEAS
    2. Hales, Douglas N. & Chakravorty, Satya S. & Sridharan, V., 2009. "Testing Benford's Law for improving supply chain decision-making: A field experiment," International Journal of Production Economics, Elsevier, vol. 122(2), pages 606-618, December.

    More about this item


    Access and download statistics


    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:ejores:v:189:y:2008:i:3:p:583-593. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.