Bibliographic record
Abstract
Purpose: This study aims to illustrate the impact of the corona pandemic (COVID-19) on the financial performance in industrial companies in Jordan. Theoretical framework: This study depend on review of literature review to determine variables of study and its relationship, has been determined all variables: corona pandemic (COVID-19) is independent variable, dependent variables was divide into three axes: profitability, liquidity and debts each of them was measure by some financial ratios that its will show later in hypotheses. Design/Methodology/Approach: The study was applied on 16 industrial companies in Jordan, their quarterly financial statements were collected from Amman’s stock exchange from the first quarter of the year 2017 to the end of the third quarter of the year 2021. Finding: It concluded to the fact that there is a negative impact on profitability reflected by the corona pandemic (COVID-19), and another positive impact on debts, and has no impact on the liquidity. Research, Practical & Social implications: The implication drawn from this study is that it show to researchers and interested of investment, that causes it corona pandemic (COVID-19) impact on performance of companies listed on important sector in Jordan is industrial Sector, which is represented 60% from all investments. Originality/value: The value of the study's originality in the past two years is the world was invaded by a new disease called Corona (COVID-19), and the disease enforced some changes on companies activities and performances it due to the closure works of companies.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".