Application of artificial intelligence technologies in HR management

S. V. Okladnikova, A. S. Pankrashov
{"title":"Application of artificial intelligence technologies in HR management","authors":"S. V. Okladnikova, A. S. Pankrashov","doi":"10.21822/2073-6185-2023-50-2-117-125","DOIUrl":null,"url":null,"abstract":"Objective. The purpose of the study is to analyze the possibility of using AI technologies to solve problems related to the selection of employees in project teams, based on production indicators and HR metrics of personnel.Method. Based on the fact that in the field of AI, methods mean algorithms by which tasks are solved, the following number of methods related to AI theory were identified: neural networks, fuzzy logic, expert systems, evolutionary modeling, Machine Learning.Result. An example of the use of AI is given in a situation where it is necessary to recruit personnel for a project based on the length of service and the degree of workload (where a scale with values from “highly loaded” to “not loaded” is used for workload). For the described example, an explanation is given that reveals the use of AI technologies (such as question-and-answer systems) in order to form HR metrics and production indicators. Additionally, the process of applying the objective function to obtain a numerical coefficient based on individual metrics or a combination of them is described in order to make a decision corresponding to its value based on the resulting indicator of the function.Conclusion. Within the framework of the conducted research, the historical patterns that led the field of personnel management to transformation and which made the use of AI technologies relevant in this area were considered. Continuous development and implementation of intelligent tools in the practice of project management facilitates HR processes and increases the efficiency of employee management. The use of AI technologies considered in the study will help to successfully monitor the state of both the project and the project team, which will have a positive impact on the productivity and profit of the enterprise.","PeriodicalId":202454,"journal":{"name":"Herald of Dagestan State Technical University. Technical Sciences","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Herald of Dagestan State Technical University. Technical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21822/2073-6185-2023-50-2-117-125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Objective. The purpose of the study is to analyze the possibility of using AI technologies to solve problems related to the selection of employees in project teams, based on production indicators and HR metrics of personnel.Method. Based on the fact that in the field of AI, methods mean algorithms by which tasks are solved, the following number of methods related to AI theory were identified: neural networks, fuzzy logic, expert systems, evolutionary modeling, Machine Learning.Result. An example of the use of AI is given in a situation where it is necessary to recruit personnel for a project based on the length of service and the degree of workload (where a scale with values from “highly loaded” to “not loaded” is used for workload). For the described example, an explanation is given that reveals the use of AI technologies (such as question-and-answer systems) in order to form HR metrics and production indicators. Additionally, the process of applying the objective function to obtain a numerical coefficient based on individual metrics or a combination of them is described in order to make a decision corresponding to its value based on the resulting indicator of the function.Conclusion. Within the framework of the conducted research, the historical patterns that led the field of personnel management to transformation and which made the use of AI technologies relevant in this area were considered. Continuous development and implementation of intelligent tools in the practice of project management facilitates HR processes and increases the efficiency of employee management. The use of AI technologies considered in the study will help to successfully monitor the state of both the project and the project team, which will have a positive impact on the productivity and profit of the enterprise.
人工智能技术在人力资源管理中的应用
目标。本研究的目的是分析基于生产指标和人力资源指标,使用人工智能技术解决项目团队中员工选择相关问题的可能性。在人工智能领域,方法是指解决任务的算法,基于这一事实,我们确定了以下几种与人工智能理论相关的方法:神经网络、模糊逻辑、专家系统、进化建模、机器学习。在需要根据服务年限和工作量程度(其中工作量使用从“高负荷”到“无负荷”的值范围)为项目招聘人员的情况下,给出了使用人工智能的示例。对于所描述的示例,给出了一个解释,揭示了人工智能技术(如问答系统)的使用,以形成人力资源指标和生产指标。此外,还描述了应用目标函数获得基于单个指标或组合指标的数值系数的过程,以便根据函数的结果指标做出相应的决策。在进行的研究框架内,考虑了导致人事管理领域转型的历史模式,以及在这一领域使用人工智能技术的相关模式。在项目管理实践中不断开发和实施智能工具,简化人力资源流程,提高员工管理效率。研究中考虑的人工智能技术的使用将有助于成功监控项目和项目团队的状态,这将对企业的生产力和利润产生积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信