Testing the accuracy of employee-reported data: An inexpensive alternative approach to traditional methods |
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| Authors: | Douglas N Hales V Sridharan Abirami Radhakrishnan Satya S Chakravorty Samia M Siha |
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| Institution: | 1. College of Business Administration, University of Rhode Island, Ballentine Hall, 7 Lippitt Road, Kingston, RI 02881, USA;2. Department of Management, College of Business and Behavioral Science, 117-F Sirrine Hall, Clemson University, Clemson, SC 29634-1305, USA;3. College of Business Administration, Morgan State University, Baltimore, MD, USA;4. Department of Management and Entrepreneurship, Michael J. Coles College of Business, Kennesaw State University, 1000 Chastain Road, Kennesaw, GA 30144, USA |
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| 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. |
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| Keywords: | Digital analysis Benford&rsquo s law Plastics industry Operations management Fraud detection |
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