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Using Analytics to Manage and Predict Employee Performance

In: Analytics Enabled Decision Making

Author

Listed:
  • James E. Phelan

    (Veterans Health Administration)

Abstract

This chapter provides an overview of several human behavior/psychological analytics that can be used to help assess current statuses and performances and predict future performance. Moreover, the chapter presents case illustrations for the use of analytics in attaining meaningful data that improve corporate performance. The objective is to help understand ways of reducing uncertainty through various analytics and to enhance data-driven, performance-managed organizations. The overview of multiple analytics with corresponding case illustrations attempts to fill a gap in the literature and help readers understand that using analytics in the business environment can engender productive analysis and change. This is important because organizations are being judged on metrics that are based on their internal and external impacts.

Suggested Citation

  • James E. Phelan, 2023. "Using Analytics to Manage and Predict Employee Performance," Springer Books, in: Vinod Sharma & Chandan Maheshkar & Jeanne Poulose (ed.), Analytics Enabled Decision Making, pages 171-201, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-9658-0_8
    DOI: 10.1007/978-981-19-9658-0_8
    as

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