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2018 | OriginalPaper | Chapter

A Novel Data Mining Approach Towards Human Resource Performance Appraisal

Authors : Pei Quan, Ying Liu, Tianlin Zhang, Yueran Wen, Kaichao Wu, Hongbo He, Yong Shi

Published in: Computational Science – ICCS 2018

Publisher: Springer International Publishing

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Abstract

Performance appraisal has always been an important research topic in human resource management. A reasonable performance appraisal plan lays a solid foundation for the development of an enterprise. Traditional performance appraisal programs are labor-based, lacking of fairness. Furthermore, as globalization and technology advance, in order to meet the fast changing strategic goals and increasing cross-functional tasks, enterprises face new challenges in performance appraisal. This paper proposes a data mining-based performance appraisal framework, to conduct an automatic and comprehensive assessment of the employees on their working ability and job competency. This framework has been successfully applied in a domestic company, providing a reliable basis for its human resources management.

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Title: A Novel Data Mining Approach Towards Human Resource Performance Appraisal
Authors: Pei Quan
Ying Liu
Tianlin Zhang
Yueran Wen
Kaichao Wu
Hongbo He
Yong Shi
Publisher: Springer International Publishing
Book: Computational Science – ICCS 2018
Print ISBN: 978-3-319-93700-7

Electronic ISBN: 978-3-319-93701-4

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-93701-4_37

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