The Impact of CEOs' Compensations on Cost Stickiness in Industrial Companies Listed on the Amman Stock Exchange
Bibliographic record
Abstract
The purpose of this study is to analyze the asymmetry in cost behavior (cost stickiness) and to identify the impact of CEOs' compensation on the degree of cost stickiness behavior. The study population consists of the public shareholding companies listed on the ASE, which number (56) industrial company. Data were collected from (35) industrial companies for the period (2009 - 2019). To measure the degree of costs stickiness, The Model of Weiss (2010) was used. The Model of Weiss (2010) takes into account the costs and changes in the level of activity (sales) for the last four quarters of the company, Weiss (2010) model constructs the difference in logarithmic ratios of changes in cost. The study found that the CEO's compensation in Jordanian industrial companies consists of two forms. The companies pay fixed salaries or performance-related bonuses. The study found that the form of compensation that is paid to the CEO affects the behavior of managers. The results indicated that the performance-related rewards are accompanied by a decrease in the level of cost stickiness, and the compensation paid in the form of fixed salaries are accompanied by a high level of cost stickiness. The study recommends that companies should understand the role of the compensation form in administrative decisions, especially with regard to resource modifications, as management motives in relation to resource modifications must be taken into account because of their clear and direct impact on the cost structure of companies.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".