An Empirical Study of Career Orientations and Turnover Intentions of Information Systems Personnel in Botswana
Bibliographic record
Abstract
A number of studies on career orientations of information systems (IS) personnel have focused on developed countries. This study attempts to examine career anchors of IS personnel from the perspective of a developing country, Botswana. The results of the study show that IS personnel in Botswana exhibit career orientations similar to those identified in literature. However, there are some variations, which are attributed to cultural and socio-economic peculiarities. The study indicates that life style does not feature as a significant career anchor in Botswana. The dominant career anchors include organizational stability (security) and sense of service (service). Gender, age, and educational qualifications tend to moderate the career anchors significantly; thus creating a partition of the anchors across demographic groups. The major contributors to the turnover intentions of IS personnel in developing economies are job satisfaction and growth opportunities. Career satisfaction, supervisor support, organization commitment, length of service, and age did not contribute significantly to turnover intention.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".