Organizational healing: Development and validation of a multidimensional scale
Bibliographic record
Abstract
Organizational Healing (OH) refers to the process through which workplaces restore positive relationships and social interactions after traumatic events or crises. This study develops and validates a reliable and psychometrically sound scale to measure the key enablers of OH in organizations. The scale items were drawn from broad dimensions of the existing literature, such as Trust in Leadership, Empathetic Leadership, Empathetic Teams, Visionary Leadership, Unambiguous Communication, Change Management, Employee Empowerment, and Positivity. Scale items were generated and refined through expert consultation to ensure clarity and face validity. The scale was then empirically tested using exploratory and confirmatory factor analysis to establish reliability, as well as convergent and discriminant validity. The validated scale contributes to both scholarship and practice by providing a systematic framework for assessing an organization's capacity for healing after disruption or change. In practice, the instrument helps leaders to diagnose cultural strengths and vulnerabilities, guide interventions that foster trust and empathy, and design effective change management strategies.
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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 | 0.024 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".