Document Type
Article
Date of Original Version
2008
Abstract
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.
Citation/Publisher Attribution
Hales, D., Sridharan, Radhakrishnan, A., Chakravorty, S. S., & Siha, S. M. Testing the accuracy of employee-related data: An inexpensive alternative approach to traditional methods. European Journal of Operational Research, 189(3), 583-593.
Available at: http://dx.doi.org/10.1016/j.ejor.2006.09.092
Terms of Use
All rights reserved under copyright.