The Impact Of Organizational Change, Structure And Leadership On Employee Turnover: A Case Study
Why this work is in the frame
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Bibliographic record
Abstract
Purpose - To provide the management team at BTSA Ltd with a practical guideline in managing organizational change through a designated lead change agent.Design/Methodology/approach - This guideline was developed by analyzing various organizational behaviour variables which included organizational structure, leadership and organizational culture. The objective of the case study is to provide a pragmatic approach to dealing with transformational change, particularly the role and responsibility of leadership.Findings This case identifies a distinct correlation between each above stated variables and productivity/citizenship factors among employees. As a result of the takeover by an international conglomerate, BTSA Ltd was facing major changes and sustained a high level of employee turnover within the company, including the abrupt departure of their lead change agent. This resulted in a sharp decrease in TQM initiatives and major slowdown in R&D projects. The key findings have determined the core elements which explained the turnover issue and the impact of organizational change (for a small Canadian based firm acquired by a US conglomerate).Originality/value - This case study is practical for mid-sized firms which are currently involved or will shortly be facing foreign control through a recent merger or acquisition. It provides management (of the acquired firm) with insight on the potential pitfalls involved in transformational changes and tools to mitigate a situation which can potentially lead to its downfall.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it