Organizational Resistance to Participatory Approaches in Public Agencies: An Analysis of Forest Department's Resistance to Community-Based Forest Management
Bibliographic record
Abstract
The organizational resistance of public agencies to participatory approaches is analyzed by means of a case study involving the implementation of community-based forest management (CBFM) in India. Both exogenous and endogenous causes of resistance are identified, and a theoretical model proposed. The model consists of two dimensions of resistance to change (structural resistance and cultural resistance) and three categories of causal factors (organizational, personal, and environmental factors). The model is empirically tested using the perceptions of senior and middle management level members of the state Forest Departments (FDs) of four states in India, collected through a questionnaire survey. The empirical findings are used to suggest strengthening of public management theories on four aspects: the distinction between structural and cultural resistance; inclusion of extra-organizational processes; the distinction between individual and organizational learning; and the need to differentiate between the impacts of the legislative and executive wings on public agencies' organizational resistance. The results are used to suggest some specific measures to deal with the organizational inertia in public agencies.
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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 | 0.010 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".