Using the Job-Demands-Resources model to predict turnover in the information technology workforce – General effects and gender
High employee turnover has always been a major issue for Information Technology (IT). In particular, turnover of women is very high. In this study, we used the Job Demand/Resources (JD-R) model to examine the relationship between job demands and job resources, stress/burnout and job satisfaction/com...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Slovenian Psychologists' Association
2014-01-01
|
| Series: | Psihološka Obzorja |
| Subjects: | |
| Online Access: | http://psiholoska-obzorja.si/arhiv_clanki/2013/hoonakker_et_al.pdf |
| _version_ | 1818328794395574272 |
|---|---|
| author | Peter Hoonakker Pascale Carayon Christian Korunka |
| author_facet | Peter Hoonakker Pascale Carayon Christian Korunka |
| author_sort | Peter Hoonakker |
| collection | DOAJ |
| description | High employee turnover has always been a major issue for Information Technology (IT). In particular, turnover of women is very high. In this study, we used the Job Demand/Resources (JD-R) model to examine the relationship between job demands and job resources, stress/burnout and job satisfaction/commitment, and turnover intention and tested the model for gender differences. Data were collected in five IT companies. A sample of 624 respondents (return rate: 56%; 54% males; mean age: 39.7 years) was available for statistical analyses. Results of our study show that relationships between job demands and turnover intention are mediated by emotional exhaustion (burnout) and relationships between job resources and turnover intention are mediated by job satisfaction. We found noticeable gender differences in these relationships, which can explain differences in turnover intention between male and female employees. The results of our study have consequences for organizational retention strategies to keep men and women in the IT work force. |
| first_indexed | 2024-12-13T12:37:49Z |
| format | Article |
| id | doaj.art-762d440b6a7c40da85b72783fa7e0061 |
| institution | Directory Open Access Journal |
| issn | 2350-5141 |
| language | English |
| last_indexed | 2024-12-13T12:37:49Z |
| publishDate | 2014-01-01 |
| publisher | Slovenian Psychologists' Association |
| record_format | Article |
| series | Psihološka Obzorja |
| spelling | doaj.art-762d440b6a7c40da85b72783fa7e00612022-12-21T23:45:45ZengSlovenian Psychologists' AssociationPsihološka Obzorja2350-51412014-01-0122516510.20419/2013.22.373373Using the Job-Demands-Resources model to predict turnover in the information technology workforce – General effects and genderPeter HoonakkerPascale CarayonChristian KorunkaHigh employee turnover has always been a major issue for Information Technology (IT). In particular, turnover of women is very high. In this study, we used the Job Demand/Resources (JD-R) model to examine the relationship between job demands and job resources, stress/burnout and job satisfaction/commitment, and turnover intention and tested the model for gender differences. Data were collected in five IT companies. A sample of 624 respondents (return rate: 56%; 54% males; mean age: 39.7 years) was available for statistical analyses. Results of our study show that relationships between job demands and turnover intention are mediated by emotional exhaustion (burnout) and relationships between job resources and turnover intention are mediated by job satisfaction. We found noticeable gender differences in these relationships, which can explain differences in turnover intention between male and female employees. The results of our study have consequences for organizational retention strategies to keep men and women in the IT work force.http://psiholoska-obzorja.si/arhiv_clanki/2013/hoonakker_et_al.pdfjob characteristicsorganizational characteristicsjob demand-resources modelemployee turnoverhuman sex differences |
| spellingShingle | Peter Hoonakker Pascale Carayon Christian Korunka Using the Job-Demands-Resources model to predict turnover in the information technology workforce – General effects and gender Psihološka Obzorja job characteristics organizational characteristics job demand-resources model employee turnover human sex differences |
| title | Using the Job-Demands-Resources model to predict turnover in the information technology workforce – General effects and gender |
| title_full | Using the Job-Demands-Resources model to predict turnover in the information technology workforce – General effects and gender |
| title_fullStr | Using the Job-Demands-Resources model to predict turnover in the information technology workforce – General effects and gender |
| title_full_unstemmed | Using the Job-Demands-Resources model to predict turnover in the information technology workforce – General effects and gender |
| title_short | Using the Job-Demands-Resources model to predict turnover in the information technology workforce – General effects and gender |
| title_sort | using the job demands resources model to predict turnover in the information technology workforce 8211 general effects and gender |
| topic | job characteristics organizational characteristics job demand-resources model employee turnover human sex differences |
| url | http://psiholoska-obzorja.si/arhiv_clanki/2013/hoonakker_et_al.pdf |
| work_keys_str_mv | AT peterhoonakker usingthejobdemandsresourcesmodeltopredictturnoverintheinformationtechnologyworkforce8211generaleffectsandgender AT pascalecarayon usingthejobdemandsresourcesmodeltopredictturnoverintheinformationtechnologyworkforce8211generaleffectsandgender AT christiankorunka usingthejobdemandsresourcesmodeltopredictturnoverintheinformationtechnologyworkforce8211generaleffectsandgender |