Organizational culture and organizational change in non-profit sport organizations: a processual approach
Bibliographic record
Abstract
Research question The purpose of this study was to explore the interplay between organizational culture and organizational change in non-profit sport organizations.Research methods Five Canadian national sport organizations (NSOs) participated in a multiple case study. Forty-nine semi-structured interviews with NSO staff and Board members and 151 documents were collected and analyzed thematically.Results The results highlight the close and chaotic relationship between culture and change – namely, how change can trigger the formation of divisive sub-cultures where conflict ensues, further constraining the change process. Moreover, while it may not be possible to control culture change, the findings demonstrate how change leaders can leverage workshops, facilitators, and turnover to help facilitate the implementation of culture changes.Implications The study contributes to existing understandings of organizational culture and change beyond examining culture change. In doing so, it shows the complex and chaotic interplay between culture and change, where change can trigger divisive cultures, which in turn, further constrain change.
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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 | 0.028 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".