The impact of employee perceptions on change in a municipal government
Bibliographic record
Abstract
Purpose The purpose of this paper is to investigate employees' reactions to a comprehensive change: to change aspects of the organization's working atmosphere at a mid‐sized municipal government located in Ontario, Canada. It aims to use the perception of success of the ongoing change effort as the main dependent variable. Design/methodology/approach The study was cross‐sectional in nature. Data were collected via a survey, and correlational analysis and PLS were used to analyze the data. Findings The results showed that the relationship between perceptions of success of the ongoing change effort and perceived sense of competence; affective commitment; satisfaction with organizational members; opportunities to participate in decision making; opportunities for development and growth; and respect in the workplace was significant. Research limitations/implications Future studies should include a more objective measure of success of the change efforts, such as absenteeism, turnover, levels of service provided, helping behavior and other organizational citizenship behaviors, and grievances filed. Practical implications Individual and workplace variables explain significant variance in the perception of success to improve the working atmosphere at a municipal organization. These variables should be given consideration during the implementation of change. Anecdotal evidence often indicates that leaders faced with comprehensive change do things that conflict with increasing readiness for change and to create enthusiasm for the change. Originality/value Government agencies face unprecedented change. It is imperative for these organizations to manage change in an effective and efficient manner in their pursuit of creating public value. Research on change in public sector organizations is sparse.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".