The Impact Of Organizational Change, Structure And Leadership On Employee Turnover: A Case Study
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 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".