Cross-sectoral Variation in Organizational Culture in the Fitness Industry
Bibliographic record
Abstract
This study compared the perception and impact of organizational culture on staff working in for-profit and non-profit organizations in the fitness industry. The purpose was to examine whether there was any variation in the emphasis on certain values within these organizations which may distinguish the sectors of this competitive industry. The study also considered whether there were differences in the impact of certain values on employee behavior. Survey research was employed during a major fitness conference and trade show that organizations from both sectors attend. Data were gathered from 416 fitness industry staff, of which 209 worked in the for-profit sector while 60 worked in the non-profit sector. The findings revealed that cross-sectoral variation in organizational culture was limited to the greater emphasis placed on sales in for-profit organizations. The findings suggest that shared values exist within an industry. Findings also showed that a focus on sales in both sectors increased staff intention to leave, while connectedness was inversely associated with intention to leave in the non-profit sector only. Directions for future research on the variation and impact of organizational culture are presented.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".