The adoption and success of profit‐sharing plans in strategic business units
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose To provide insights as to the determinants of profit‐sharing plan (PSP) adoption, as well as conditions that underlie their successful implementation. Design/methodology/approach The sample comprises strategic business units (SBUs) within a large financial services organization, some of which voluntarily adopted a PSP while others did not. All sample SBUs face similar economic and market conditions. Through a logit analysis, we identify determinants of PSP adoption. Through longitudinal cross‐sectional design, we assess the impact of PSP adoption on earnings growth, as well as conditions that underlie successful implementations. Findings Larger SBUs as well as SBUs exhibiting superior asset growth are more likely to adopt a PSP than other SBUs. Prior earnings performance is not found to be a determinant of PSP adoption. PSP adoption translates into superior earnings growth, but such impact quickly declines over time. Among PSP adopters, earnings growth following PSP adoption is greater for SBUs that adopt late (late adopters) and for those which had poor prior earnings performance. Research limitations/implications Limited external validity as the analysis is performed within a single North American organization. Practical implications PSPs are found to be an effective performance turnaround tool. In addition, their limited life cycle suggests that continuous reinforcements and communications are needed to maintain effectiveness. Originality/value In contrast to most prior research that uses multi‐industry samples, the paper relies on a unique organizational database that controls for confounding factors and different earnings generation processes. Moreover, the paper provides additional insights as to the conditions for success.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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