VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1263
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Luong Thong Dat | en_US |
dc.date.accessioned | 2021-11-04T07:44:57Z | - |
dc.date.available | 2021-11-04T07:44:57Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://epub.vgu.edu.vn/handle/dlibvgu/1263 | - |
dc.description.abstract | Nowadays, employee is one of the most important resources of the company. Losing talent can cause a huge impact to the company. Since there are many factors can influence to the leaving decision, it’s a challenge for the Human Resources department focus on which factors have the high impact to leaving decision. This research study explores data and find the most important factors that influence the employee’s intention to leave in a FMCG Company using machine learning and demonstrate the time-based flight risk score of the employee in multiple scenarios. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Vietnamese-German University | en_US |
dc.subject | Flight risk score | en_US |
dc.subject | Employee turnover | en_US |
dc.subject | Machine learning | en_US |
dc.title | The analytics model to identify flight risk score | en_US |
dc.type | Thesis | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | other | - |
Appears in Collections: | Business Information Systems (BIS) |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
---|---|---|---|---|
The analytics model to identify flight risk score.pdf | 1.2 MB | Adobe PDF |
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