Application of artificial intelligence technologies in HR management
https://doi.org/10.21822/2073-6185-2023-50-2-117-125
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.
About the Authors
S. V. Okladnikova
Astrakhan State University of Architecture and Civil Engineering
Russian Federation
Russian Federation
Svetlana V. Okladnikova, Cand. Sci. (Eng), Assoc. Prof., Department of Аutomatic Design and Modeling Systems
18 Tatishcheva St., Astrakhan 414056
A. S. Pankrashov
LLC “Alial Group”
Russian Federation
Russian Federation
Alexander S. Pankrashov, Leading Engineer-Developer of the Information Systems Implementation Department of Alial Group LLC
50 Ligovsky Ave., litera P, office 5, St. Petersburg 5191040
References
1. «Digital Economy of the Russian Federation». Ministry of Digital Development, Communications and Mass Communications of the Russian Federation. URL: https://digital.gov.ru/ru/activity/directions/858/ (date of circulation: 03/23/2023). (In Russ)
2. Decree of the President of the Russian Federation 490 dated October 10, 2019 “On the development of artificial intelligence in the Russian Federation”. pdf.standartgost.ru. URL: https://pdf.standartgost.ru/catalog/Data2/1/4293726/4293726917.htm (date of circulation: 03/23/2023). (In Russ)
3. Panteleeva T.A., Arustamov E.A., Maksaev A.A. The possibilities of artificial intelligence in the management of human resources in the conditions of free enterprise. Online magazine Waste and Resources. 2019; 3. URL: https://resources.today/PDF/10ECOR319.pdf (date of circulation: 03/23/2023). (In Russ)
4. History and methodology of project management. Training management system of FGAOU VO SGEU. URL: https://lms2.sseu.ru/mod/book/tool/print/index.php?id=71818 (date of circulation: 03/23/2023). (In Russ)
5. History and effectiveness of project management. Project services. URL: https://pmservices.ru/projectmanagement-news/istoriya-i-effektivnost-upravleniya-proektami / (date of circulation: 03/23/2023). (In Russ)
6. History of project management. Microsoft. URL: https://support.microsoft.com/en-us/office/history-ofproject-management-a2e0b717-094b-4d1e-878a-fcd0978891cd (date of circulation: 03/23/2023).
7. What is APM? Application performance monitoring guide. TechTarget. URL: https://www.techtarget.com/searchenterprisedesktop/definition/Application-monitoring-app-monitoring (date of circulation: 03/23/2023).
8. About Standards [Electronic resource]. PMI. URL: https://www.pmi.org/pmbok-guide-standards/about (date of circulation: 03/23/2023).
9. What is an AI product manager? airfocus. URL: https://airfocus.com/glossary/what-is-ai-product-manager/ (date of circulation: 03/23/2023).
10. Project management Information systems. Habr. URL: https://habr.com/ru/post/23508/ (date of circulation: 03/23/2023). (In Russ)
11. Visual methods of project planning. Creately. URL: https://creately.com/blog/ru/ (date of circulation: 03/23/2023). (In Russ)
12. Network planning and project management. Student abstract articles and materials. URL: https://studref.com/360343/ekonomika/setevoe_planirovanie_upravlenie_proektami (date of circulation: 03/23/2023). (In Russ)
13. Safonova A.A. Kuksacheva O.N. Formula of Management. 2020; 1. URL: https://cyberleninka.ru/article/n/informatsionnye-sistemy-upravleniya-proektami (date of circulation: 03/23/2023). (In Russ)
14. Project management Information System. Megaplan. URL: https://megaplan.ru/blog/crm/informacionnayasistema-upravleniia-proektami/ (date of circulation: 03/23/2023). (In Russ)
15. Genesis of Knowledge Smart Projects. The Genesis of Knowledge. URL: http://www.kg.ru/solutions/smartprojects/ (date of circulation: 03/23/2023). (In Russ)
16. Aurora-CCPM Multi-Project Critical Chain Project Management. Aurora-CCPM. URL: https://aurora-ccpm.com/ (date of circulation: 03/23/2023).
17. The Market’s Only Predictive Scheduling Solution. LiquidPlanner. URL: https://www.liquidplanner.com/ (date of circulation: 03/23/2023).
18. Infosys. Infosys Nia. URL: https://www.infosys.com/nia/ (date of circulation: 03/23/2023).
19. Cloverleaf - Build Better Teams Through Assessments and Coaching. Cloverleaf. URL: https://cloverleaf.me/ (date of circulation: 03/23/2023).
20. Best Project Management Tool. PineStem. URL: https://pinestem.com/ (date of circulation: 03/23/2023).
21. Kolosovich D. V. Chernyshevich S. A. Problems in project management and ways to solve them. Scientific conference of students and postgraduates of BSU. In three parts. 2016 URL: https://elib.bsu.by/handle/123456789/168312 (date of circulation: 03/23/2023). (In Russ)
22. Usova Yu.P. Chinareva O.I. Problems in project management and ways to solve them. Modern problems of science and education. 2013; 6. URL: https://science-education.ru/ru/article/view?id=11844 (date of circulation: 03/23/2023). (In Russ)
23. Aliyev O.M. Artificial intelligence in the service of hr managers. managerial accounting. 2022; 3-2. URL: https://www.elibrary.ru/item.asp?id=48323265 (date of circulation: 03/23/2023). (In Russ)
24. Quantitative and Qualitative Assessment of Personnel [Review of Methods]. URL: https://testwork.io/blog/kolichestvennaya-i-kachestvennaya-ocenka-personala/ (date of circulation: 30.03.2023). (In Russ)
25. Beehive HR platform for automating the processes of adaptation, evaluation and development of employees. Beehive. URL: https://b2b.beehive.team/ (date of circulation: 03/03/2023). (In Russ)
26. Personnel evaluation in the organization - employee evaluation and development system / StartExam. URL: https://www.startexam.ru/ (date of circulation: 03/30/2023). (In Russ)
27. Cloud-based HCM platform for automation of HR processes and talent management. MoyaKomanda. URL: https://моякоманда.рф (date of circulation: 03/30/2023). (In Russ)
28. HR‑platform Pulse. Sber products for developers. URL: https://developers.sber.ru/portal/products/pulse/ (date of circulation: 03/30/2023). (In Russ)
29. Smart HR solutions for people and business development from Potok (TalentTech). POTOK. URL: https:// potok.io/ (date of circulation: 03/30/2023). (In Russ)
30. Vera, robot recruiter. Robot Vera. URL: https://hr.robotvera.ru/static/newrobot/index.html (date of circulation: 03/30/2023). (In Russ)
31. Chatbot for HR and recruiting. Chat URL: https://chatim.io/chat-bot-rekruting-hr (date of circulation: 03/30/2023). (In Russ)
32. HR metrics: why are we needed and what is measured by + 28 examples. URL: https://hurma.work/rf/blog/hr-metriki-zachem-nuzhny-i-chto-izmeryayut-28-primerov-2/ (date of circulation: 03/30/2023). (In Russ)
33. Methods of artificial intelligence. aisimple.ru. URL: https://aisimple.ru/6-methody-ai.html (date of circulation: 03/30/2023). (In Russ)
34. Poleshchuk O.M. System analysis and processing of group expert information based on linguistic variables. Forest Bulletin. 2015; 1; Volume 19. URL: https://cyberleninka.ru/article/n/sistemnyy-analiz-i-obrabotkagruppovoy-ekspertnoy-informatsii-na-osnove-lingvisticheskih-peremennyh (date of circulation: 03/30/2023). (In Russ)
35. Overview of data mining methods. asu-analitika URL: https://asu-analitika.ru/obzor-metodov-data-mining (date of circulation: 03/30/2023). (In Russ)
Review
For citations:
Okladnikova S.V., Pankrashov A.S. Application of artificial intelligence technologies in HR management. Herald of Dagestan State Technical University. Technical Sciences. 2023;50(2):117-125. (In Russ.) https://doi.org/10.21822/2073-6185-2023-50-2-117-125
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