The moderating role of ownership structure between ethical business conduct, compliance and legal, transparency and disclosure, board of directors on financial performance
Bibliographic record
Abstract
This study examines how corporate governance dimensions relate to financial performance in Jordanian firms and whether ownership structure moderates these relationships. Quantitative analysis was conducted using secondary data on 69 companies listed on the Amman Stock Exchange from 2017-2022. Multivariate regression tested effects of board, transparency, ethics, and compliance indices on performance measured by Tobin's Q, ROA, and ROE. Moderated regression analyzed the contingency role of ownership concentration. Board size, independence, transparency, ethical conduct and legal compliance had significant positive impacts on valuations and profitability, supporting agency and stakeholder perspectives. Ownership concentration strengthened board monitoring but dampened transparency effects. The findings highlight the importance of governance practices like board oversight, disclosure and ethics for improving Jordanian firms' performance. Ownership contingencies suggest adapting governance mechanisms to concentrated structures. This study provides rare empirical evidence on the under-researched Jordanian context. Examining interactive effects of ownership brings new insights regarding concentrated emerging markets.
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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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".