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Record W2921411042 · doi:10.5539/ibr.v12n4p12

Net Working Capital and the Profitability: Empirical Evidence form Amman Stock Exchange

2019· article· en· W2921411042 on OpenAlexvenueno aff
Zaher Abdel Fattah Al-Slehat, Bader Mustafa Al-Sharif

Bibliographic record

VenueInternational Business Research · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWorking Capital and Financial Performance
Canadian institutionsnot available
Fundersnot available
KeywordsProfitability indexWorking capitalStock exchangeProfit marginBusinessNet incomeNet profitSample (material)Investment (military)Empirical researchReturn on capital employedProfit (economics)FinanceEconomicsFinancial capitalCapital formationMicroeconomics

Abstract

fetched live from OpenAlex

The current study investigates empirically the relationship between the net working capital and the profitability of the industrial companies for the period of 9 years from 2009-2017. To fulfill this aim, the researcher used the analytical descriptive method on a sample consisted of 26 industrial companies listed in Amman Stock Exchange (ASE). The empirical result shows that net operating income and return on asset have positive relationship with net working capital. However, there is no relationship between net working capital and profit margin. The study recommends that to more attention for investing the net working capital by determining investment opportunities that reflect positively on profitability. Additionally, managers should raise the awareness of their employees regarding the importance of internal and external investment to increase the market share.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.123
GPT teacher head0.346
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2019
Admission routes1
Has abstractyes

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