How Can We Better Understand Current and Future Workforce Values in the Global Business Environment?
Bibliographic record
Abstract
Abstract Our study tested the predictive power of socioeconomic development theory and age differences theory to explain work values across cultures and across age groups. We compared the values orientations of future managers, business students under the age of 25, with those of current managers and professionals, who we split into three decade groups (30 to 39, 40 to 49, and 50 to 59). Our respondents (n = 1,518) come from six diverse societies: Brazil, Germany, Indonesia, Russia, the United States, and Vietnam. Our findings indicate that both theories contribute to our understanding of work values and behaviors. One implication is that while socioeconomic development theory makes an important contribution, it is clearly not sufficient by itself to explain work values/behavior differences in the global context. The study findings and the discussion of them will hopefully provide multinational managers with a clearer assessment of current and future workforce values/behavior. © 2012 Wiley Periodicals, Inc.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".