Implementation of artificial intelligence for employee onboarding in light of literature review

Purpose:The purpose of this study was to review the latest reports and developments in the implementation of artificial intelligence (AI) in the professional adaptation of new employees based on literature research.Design/methodology/approach: The method of analysis and criticism of the literature was used.A search was performed according to accepted searches in scientific databases: Google Scholar, Scopus, Science Direct, and EBSCO.Scientific items were supplemented by industry literature and online sources treating issues within the scope of the subject matter.Findings: The potential of applying artificial intelligence to the professional adaptation of employees has not yet been thoroughly explored.The state of knowledge in artificial intelligence in onboarding is small, as is the number of literature items on the subject.Based on the analysed literature, it can be concluded that the cooperation of humans and artificial intelligence is indispensable in the HR department, as it has much potential for improving its processes.It facilitates the smooth transition of new employees from one company to another and faster socialisation.Modern technologies have changed onboarding processes, leading to their personalisation and, consequently, an increase in the engagement of newly hired employees and satisfaction with their work.Practical implications: Implementing artificial intelligence contributes to the automation of deployment processes, individualisation, and continuous monitoring of new employees' progress.Analysing the data derived from the adaptation process makes it possible to identify areas that require modification.Social implications: Socialization-oriented onboarding promotes good moods among new employees.Onboarding with elements of artificial intelligence makes hired individuals feel "taken care of," which reduces the stress of changing work environments and increases selfesteem.The employee adapts faster to the new work environment and identifies with the organisation's values.Originality/value: The article presents a comprehensive picture of onboarding practices using AI in the human resources department.Drawing on foreign literature on the subject enriches the existing body of research on human capital in the enterprise, signalling the author's contribution to developing the discipline of management and quality sciences.The article is aimed primarily at researchers and scholars working in the field of human resource management.In addition, the article is of value to HR managers and employees who are directly affected by implementing modern technologies in onboarding.

Publication Details

Journal
Scientific Papers of Silesian University of Technology Organization and Management Series
Published
2025-01-01
DOI
https://doi.org/10.29119/1641-3466.2025.219.17
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementation of artificial intelligence for employee onboarding in light of literature review

Scientific Papers of Silesian University of Technology Organization and Management Series
Impact of AI and Big Data on Business and Society
article

Implementation of artificial intelligence for employee onboarding in light of literature review

article en

Abstract

Purpose:The purpose of this study was to review the latest reports and developments in the implementation of artificial intelligence (AI) in the professional adaptation of new employees based on literature research.Design/methodology/approach: The method of analysis and criticism of the literature was used.A search was performed according to accepted searches in scientific databases: Google Scholar, Scopus, Science Direct, and EBSCO.Scientific items were supplemented by industry literature and online sources treating issues within the scope of the subject matter.Findings: The potential of applying artificial intelligence to the professional adaptation of employees has not yet been thoroughly explored.The state of knowledge in artificial intelligence in onboarding is small, as is the number of literature items on the subject.Based on the analysed literature, it can be concluded that the cooperation of humans and artificial intelligence is indispensable in the HR department, as it has much potential for improving its processes.It facilitates the smooth transition of new employees from one company to another and faster socialisation.Modern technologies have changed onboarding processes, leading to their personalisation and, consequently, an increase in the engagement of newly hired employees and satisfaction with their work.Practical implications: Implementing artificial intelligence contributes to the automation of deployment processes, individualisation, and continuous monitoring of new employees' progress.Analysing the data derived from the adaptation process makes it possible to identify areas that require modification.Social implications: Socialization-oriented onboarding promotes good moods among new employees.Onboarding with elements of artificial intelligence makes hired individuals feel "taken care of," which reduces the stress of changing work environments and increases selfesteem.The employee adapts faster to the new work environment and identifies with the organisation's values.Originality/value: The article presents a comprehensive picture of onboarding practices using AI in the human resources department.Drawing on foreign literature on the subject enriches the existing body of research on human capital in the enterprise, signalling the author's contribution to developing the discipline of management and quality sciences.The article is aimed primarily at researchers and scholars working in the field of human resource management.In addition, the article is of value to HR managers and employees who are directly affected by implementing modern technologies in onboarding.

Scientific Papers of Silesian University of Technology Organization and Management SeriesVol. 2025(219)
Openalex Percentile: Top 88%
Impact of AI and Big Data on Business and Society
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