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Evidence-based recommendations for employee performance monitoring

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  • Tomczak, David L.
  • Lanzo, Lauren A.
  • Aguinis, Herman

Abstract

From security cameras to GPS tracking systems, nearly 80% of organizations use some type of electronic performance monitoring (EPM). EPM uses technology to gather, store, analyze, and report employee behavior (e.g., productivity, use of company time, incivility). The objective, real-time data that EPM systems collect can be used for performance appraisal, training and development, logistical tracking, wellness programs, employee safety, and more. Despite the organizational benefits of EPM, these systems can have adverse effects on employee satisfaction, organizational commitment, fairness perceptions, and employee behavior. Research provides evidence, however, that these downfalls can be mitigated by implementing these systems with employee attitudes and privacy perceptions in mind. Using theory and empirical research evidence, we offer five recommendations for maximizing the positive effects and minimizing the negative effects of EPM: (1) Be transparent with employees about EPM use, (2) be aware of all potential employee reactions to being monitored, (3) use EPM for learning and development rather than deterrence, (4) restrict EPM to only work-related behaviors, and (5) consider organizational makeup when implementing an EPM system.

Suggested Citation

  • Tomczak, David L. & Lanzo, Lauren A. & Aguinis, Herman, 2018. "Evidence-based recommendations for employee performance monitoring," Business Horizons, Elsevier, vol. 61(2), pages 251-259.
    • Handle: RePEc:eee:bushor:v:61:y:2018:i:2:p:251-259
    DOI: 10.1016/j.bushor.2017.11.006
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    References listed on IDEAS

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    2. Marwah Badr Zaya Yousif & Taicir Moalla Loukil, 2022. "Determining the Effect of Narcissistic Leadership on Employee Performance: An applied Study in a Private College in Iraq," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 11, September.
    3. Bruning, Patrick F. & Alge, Bradley J. & Lin, Hsin-Chen, 2020. "Social networks and social media: Understanding and managing influence vulnerability in a connected society," Business Horizons, Elsevier, vol. 63(6), pages 749-761.
    4. Di Wu & Zhongming Wang, 2020. "Be Careful How You Do It: The Distinct Effects of Observational Monitoring and Interactional Monitoring on Employee Trust," Sustainability, MDPI, vol. 12(15), pages 1-10, July.
    5. Manh-Tung Ho & Peter Mantello & Hong-Kong T. Nguyen & Quan-Hoang Vuong, 2021. "Affective computing scholarship and the rise of China: a view from 25 years of bibliometric data," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-14, December.

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