Artificial Intelligence Models and Employee Lifecycle Management: A Systematic Literature Review

IF 1.5 Q3 MANAGEMENT

Organizacija Pub Date : 2022-08-01 DOI:10.2478/orga-2022-0012

Saeed Nosratabadi, Roya Khayer Zahed, V. Ponkratov, E. Kostyrin

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引用次数: 5

Abstract

Abstract Background and purpose: The use of artificial intelligence (AI) models for data-driven decision-making in different stages of employee lifecycle (EL) management is increasing. However, there is no comprehensive study that addresses contributions of AI in EL management. Therefore, the main goal of this study was to address this theoretical gap and determine the contribution of AI models to EL management. Methods: This study applied the PRISMA method, a systematic literature review model, to ensure that the maximum number of publications related to the subject can be accessed. The output of the PRISMA model led to the identification of 23 related articles, and the findings of this study were presented based on the analysis of these articles. Results: The findings revealed that AI algorithms were used in all stages of EL management (i.e., recruitment, on-boarding, employability and benefits, retention, and off-boarding). It was also disclosed that Random Forest, Support Vector Machines, Adaptive Boosting, Decision Tree, and Artificial Neural Network algorithms outperform other algorithms and were the most used in the literature. Conclusion: Although the use of AI models in solving EL management problems is increasing, research on this topic is still in its infancy stage, and more research on this topic is necessary.

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人工智能模型与员工生命周期管理:系统文献综述

背景与目的:在员工生命周期管理的不同阶段，越来越多地使用人工智能(AI)模型进行数据驱动的决策。然而，目前还没有全面的研究解决人工智能在EL管理中的贡献。因此，本研究的主要目标是解决这一理论差距，并确定人工智能模型对EL管理的贡献。方法:本研究采用系统文献综述模型PRISMA方法，最大限度地获取与本课题相关的出版物。PRISMA模型的输出导致了23篇相关文章的识别，并在分析这些文章的基础上提出了本研究的发现。结果:研究结果显示，人工智能算法被用于员工服务管理的各个阶段(即招聘、入职、就业能力和福利、留用和离职)。随机森林、支持向量机、自适应增强、决策树和人工神经网络算法优于其他算法，在文献中使用最多。结论:虽然AI模型在解决EL管理问题中的应用越来越多，但该课题的研究仍处于起步阶段，需要进行更多的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Organizacija MANAGEMENT-

CiteScore

3.50

自引率

15.80%

发文量

审稿时长

16 weeks

期刊介绍： Organizacija (Journal of Management, Information Systems and Human Resources) is an interdisciplinary peer reviewed journal that seeks both theoretical and practical papers devoted to managerial aspects of the subject matter indicated in the title. In particular the journal focuses on papers which cover state-of art developments in the subject area of the journal, its implementation and use in the organizational practice. Organizacija is covered by numerous Abstracting & Indexing services, including SCOPUS.