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HR analytics and performance appraisal system

Author

Listed:
  • Anshu Sharma
  • Tanuja Sharma

Abstract

Purpose - This paper aims to explore the role of human resource (HR) analytics on employees’ willingness to improve performance. In doing so, the paper examines issues related to the performance appraisal (PA) system which affect employees’ willingness to improve performance and how HR analytics can be a potential solution to deal with such issues. Design/methodology/approach - The paper develops a conceptual framework along with propositions by integrating both academic and practitioner literatures, in the field of HR analytics and performance management. Findings - The paper proposes that the use of HR analytics will be negatively related to subjectivity bias in the PA system, thereby positively affecting employees’ perceived accuracy and fairness. This further positively affects employees’ satisfaction with the PA system, which subsequently increases employees’ willingness to improve performance. Research limitations/implications - The paper provides implications for both researchers and practitioners in the performance management area for improving employees’ performance by applying HR analytics as a strategic tool in the PA system. It also provides implications for future researchers to empirically test the conceptual framework in different organizational settings. Originality/value - The paper offers insights into how the use of HR analytics can deal with issues of subjectivity bias in the PA system and positively affects employees’ willingness to improve performance.

Suggested Citation

  • Anshu Sharma & Tanuja Sharma, 2017. "HR analytics and performance appraisal system," Management Research Review, Emerald Group Publishing Limited, vol. 40(6), pages 684-697, June.
  • Handle: RePEc:eme:mrrpps:mrr-04-2016-0084
    DOI: 10.1108/MRR-04-2016-0084
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    Citations

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    Cited by:

    1. Nagamani Subramanian & M. Suresh, 2022. "Assessment Framework for Agile HRM Practices," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 135-149, March.

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