| Title | A Survey of using Computational Intelligence (CI) and Artificial Intelligence (AI) in Human Resource (HR) Analytics |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Sooraksa, Nanta |
| Conference Name | 2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST) |
| Keywords | AI, artificial intelligence, career development, CI, composability, compositionality, Computational Intelligence, decision making, Engineering profession, HR analytics, learning (artificial intelligence), pubcrawl, survey, Tools, Training |
| Abstract | Human Resource (HR) Analytics has been increasingly attracted attention for a past decade. This is because the study field is adopted data-driven approaches to be processed and interpreted for meaningful insights in human resources. The field is involved in HR decision making helping to understand why people, organization, or other business performance behaved the way they do. Embracing the available tools for decision making and learning in the field of computational intelligence (CI) and Artificial Intelligence (AI) to the field of HR, this creates tremendous opportunities for HR Analytics in practical aspects. However, there are still inadequate applications in this area. This paper serves as a survey of using the tools and their applications in HR involving recruitment, retention, reward and retirement. An example of using CI and AI for career development and training in the era of disruption is conceptually proposed. |
| DOI | 10.1109/ICEAST52143.2021.9426269 |
| Citation Key | sooraksa_survey_2021 |
A Survey of using Computational Intelligence (CI) and Artificial Intelligence (AI) in Human Resource (HR) Analytics