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Predicting employee voluntary turnover using human resources data
Includes bibliographical references.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Organisational Psychology
2015
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| _version_ | 1867613181576216576 |
|---|---|
| access_status_str | Open Access |
| author | Syce, Chantal |
| author2 | Schlechter, Anton |
| author_browse | Schlechter, Anton Syce, Chantal |
| author_facet | Schlechter, Anton Syce, Chantal |
| author_sort | Syce, Chantal |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11711 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:03.909Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Organisational Psychology |
| publisherStr | Organisational Psychology |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/11711 Predicting employee voluntary turnover using human resources data Syce, Chantal Schlechter, Anton Organisational Psychology Includes bibliographical references. The current research attempted to answer the following question: Can voluntary employee turnover be predicted? The study made use of regression analyses to examine the relationship between employee turnover and a range of worker demographics. Data covering 2 592 employees in a South African general insurer formed the basis for the analysis. Several demographic variables (available in the HR management information system), were identified and investigated with the aim to develop a voluntary turnover prediction model. Fourteen variables were identified in the human resources information system to be included for analysis. From 14 potential predictors, the procedure selected only five variables, i.e. cost centre, years of service, performance, age and tenure - family size interaction for inclusion in the regression equation. 2015-01-07T13:39:37Z 2015-01-07T13:39:37Z 2012 Master Thesis Masters MCom http://hdl.handle.net/11427/11711 eng application/pdf Organisational Psychology Faculty of Commerce University of Cape Town |
| spellingShingle | Organisational Psychology Syce, Chantal Predicting employee voluntary turnover using human resources data |
| thesis_degree_str | Master's |
| title | Predicting employee voluntary turnover using human resources data |
| title_full | Predicting employee voluntary turnover using human resources data |
| title_fullStr | Predicting employee voluntary turnover using human resources data |
| title_full_unstemmed | Predicting employee voluntary turnover using human resources data |
| title_short | Predicting employee voluntary turnover using human resources data |
| title_sort | predicting employee voluntary turnover using human resources data |
| topic | Organisational Psychology |
| url | http://hdl.handle.net/11427/11711 |
| work_keys_str_mv | AT sycechantal predictingemployeevoluntaryturnoverusinghumanresourcesdata |