dc.contributor.author |
Van Dyk, J.
|
|
dc.contributor.author |
Coetzee, Melinde
|
|
dc.contributor.author |
Takawira, N.
|
|
dc.date.accessioned |
2013-11-19T11:44:32Z |
|
dc.date.available |
2013-11-19T11:44:32Z |
|
dc.date.issued |
2013 |
|
dc.identifier.citation |
Van Dyk, J., Coetzee, M. & Takawira, N. (2013). Satisfaction with retention factos as predictors of the job embeddedness of medical and Information Technology services staff. Southern African Business Review, 17(1), 57-75. |
en |
dc.identifier.issn |
1561896X |
|
dc.identifier.uri |
http://hdl.handle.net/10500/12039 |
|
dc.description.abstract |
The objective of the study was to determine whether employees’
satisfaction with retention factors (measured by the Retention
Factors Scale) significantly predicted their job embeddedness
(measured by the Job Embeddedness Scale). A quantitative survey
was conducted on a purposive sample (n=206) of early career
medical and information technology services staff, identified as
scarce skills in a South African client services company. Retention
factors such as training and development, career opportunities,
supervisor support and the characteristics of the job (skills variety,
challenge and autonomy) were shown to significantly predict
the participants’ sense of job embeddedness. Satisfaction with
training and development opportunities was the best predictor
of organisational fit, while satisfaction with career opportunities
was the best predictor of organisational sacrifice. The findings
add valuable new knowledge that may be used to inform retention
strategies for professional staff with scarce skills in the medical and
information technology services sector. |
en |
dc.language.iso |
en |
en |
dc.publisher |
UNISA |
en |
dc.subject |
Retention Factors |
en |
dc.subject |
Perceived Job Embeddedness |
en |
dc.subject |
Training & Development |
en |
dc.subject |
Career Opportunities |
en |
dc.subject |
Job Characteristics |
en |
dc.subject |
Supervisor Support |
en |
dc.title |
Satisfaction with retention factors as predictors of the job embeddedness of medical and Information Technology services staff. |
en |
dc.type |
Article |
en |
dc.description.department |
Industrial and Organisational Psychology |
en |