Managing Organizational Change: The role of Middle Managers’ Stories and Emotional Reflexivity
Bibliographic record
Abstract
Previous studies have increasingly emphasised on the important roles of middle managers’ emotions in ensuring successful organisational change implementation. However, earlier research rarely focuses on middle managers’ emotional reflexivity during organisational change. The lack of awareness in practicing emotional reflexivity during change can affect middle managers’ work life quality where they can experience emotional vulnerability, workplace isolation and high sense of inadequacies. Using Communicative constitution of organisations the Montreal School (CCO TMS) as the theoretical underpinning, this research was conducted to study the emotional reflexivity of middle managers in a Malaysian organisation during organisational change. A qualitative methodology using semi-structured in-depth interviews was being carried to study about the targeted phenomenon and thirty middle managers from different departments in a Malaysian manufacturing aerospace component organisation has participated in this study. The analysis of the data generated seven emotional organisational change stories which were anxious, fear, anger, grief, hope, happy and gratitude. Those stories also generated the respondents’ emotional reflexivity dimensions which were self-consciousness, self-control and motivation. This research highlights the importance of listening to middle managers’ stories because it exposes the reasons for their acceptance and resistance towards change initiatives. It also highlights the importance for middle managers to instil emotional reflexivity skills in their work life as it helps them to understand and adapt to their organisation’s change programmes effectively. Lastly, this research also contributes to the enrichment of literature in the areas of CCO TMS theory, emotional reflexivity, organisational stories, as well as organisational 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 | 0.017 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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".