An International Comparison of Enablers of Individual Readiness for Change: The Case of Executives Working in France, GCC and India
Bibliographic record
Abstract
The purpose of this paper is to examine the components that foster individual readiness for organizational change. To address this question, we conducted an international comparison of the perception of managers at different levels of organizational hierarchy. This research employed a quantitative survey research design administrated to two hundred and fifty-six employees, in different hierarchical levels in organizations, from France, GCC (Arab states of the Gulf Cooperation Council) and India enrolled in several executive training programs. Our research supports the idea the perception of the change process unlike the context of change is a significant determinant of employees’ readiness for change. The study controls for key individual antecedents of change readiness. Accordingly, we have shown that readiness for change may vary according to nationality and hierarchical position of an individual. We conclude that successful implementation of change cannot be reached without a need for change being established, which can be triggered and nurtured through the appropriate change management processes.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".