Assessing the Relevance of Change Management Strategy in Moroccan Public Sector Reform
Bibliographic record
Abstract
This study examines the challenges and strategies in implementing change within Moroccan public institutions, with a particular focus on civil servants’ roles in reform success. Data were collected from 172 participants across key ministries involved in the Administrative Reform Plan (2018–2021). The research evaluates strategies for addressing resistance, fostering engagement, and managing transitions effectively, providing a nuanced understanding of how organizational changes are received and managed. To enhance the depth of analysis, this paper incorporates a comparative perspective, examining change management approaches in public reforms conducted in France and Canada. This comparison offers valuable insights into best practices and innovative solutions for managing reforms in diverse administrative and cultural contexts. The findings reveal the critical importance of adopting comprehensive and inclusive strategies that address structural and human challenges, ensuring that reforms are both effective and sustainable. By integrating empirical data with international benchmarks, this study contributes significantly to the discourse on public sector transformation and offers practical recommendations for policymakers navigating the complexities of 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 | 0.022 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| 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".