Introduction to Machine Learning as a New Methodological Framework for Performance Assessment

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Author(s): Jason D. Baker (Regent University, USA)
Copyright: 2021
Pages: 17
Source title: Handbook of Research on Advancements in Organizational Data Collection and Measurements: Strategies for Addressing Attitudes, Beliefs, and Behaviors
Source Author(s)/Editor(s): Mihai C. Bocarnea (Regent University, USA), Bruce E. Winston (Regent University, USA)and Debra Dean (Regent University, USA)
DOI: 10.4018/978-1-7998-7665-6.ch021

Keywords: Business and Organizational Research / Business Science Reference / Data Management / Knowledge Management and Library Science

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Abstract

Machine learning enables organizations to leverage data strategically to improve employee performance, promote continuous improvement, and better fulfill the mission. Opportunities for leveraging machine learning within organizations exist throughout the employee lifecycle but should be pursued with a clear understanding of the strengths and limitations of the methodology. This chapter will review traditional performance management processes, introduce machine learning as a methodology, highlight how machine learning methods could be used in new performance assessment models, and note future research directions to improve the use of machine learning within organizations.

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Introduction to Machine Learning as a New Methodological Framework for Performance Assessment

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