Changes in employees' attitudes at work following an acquisition: a comparative study by acquisition type
Bibliographic record
Abstract
The purpose of this paper is to examine how employee reaction varies in the event of an acquisition, and ultimately, to show that it depends on the acquisition context; specifically: (1) the legitimacy of the purchasing firm's identity, and (2) the extent of the organizational changes or discontinuity resulting from the acquisition. The research hypotheses considered are tested using a single questionnaire administered repeatedly over a five‐year period to the employees of 85 sites belonging initially to three different firms: ABC (the acquiring firm), EFG (the firm taken over in a friendly acquisition) and XYZ (firm absorbed in a hostile acquisition). The results mainly show that employees working at sites belonging initially to EFG have higher organizational identification scores than those at sites belonging initially to XYZ. Insecurity scores increase at all sites after the acquisition period, even for employees who originally belonged to ABC. Finally, a temporal link is seen between organizational identification, insecurity and job satisfaction.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".