| Title: | Artificial intelligence models and employee lifecycle management : a systematic literature review |
|---|
| Authors: | ID Nosratabadi, Saeed (Author)
ID Zahed, Roya Khayer (Author)
ID Ponkratov, Vadim Vitalievich (Author)
ID Kostyrin, Evgeniy Vyacheslavovich (Author) |
|---|
| Files: |  https://organizacija.fov.um.si/index.php/organizacija/article/view/920
 RAZ_Nosratabadi_Saeed_2022.pdf (1,09 MB)
MD5: 073A86C1364416D2827BB284BDAF39BC
|
|---|
| Language: | English |
|---|
| Work type: | Unknown |
|---|
| Typology: | 1.02 - Review Article |
|---|
| Organization: | FOV - Faculty of Organizational Sciences in Kranj
|
|---|
| 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. |
|---|
| Publication date: | 01.01.2022 |
|---|
| Year of publishing: | 2022 |
|---|
| Number of pages: | str. 181-198 |
|---|
| Numbering: | Vol. 55, no. 3 |
|---|
| PID: | 20.500.12556/DKUM-96232  |
|---|
| UDC: | 005.95/.96:004.89 |
|---|
| ISSN on article: | 1318-5454 |
|---|
| COBISS.SI-ID: | 162400771 |
|---|
| DOI: | 10.2478/orga-2022-0012 |
|---|
| Publication date in DKUM: | 11.12.2025 |
|---|
| Views: | 250 |
|---|
| Downloads: | 4 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
