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The Role of Small Business Investments in Limiting the Impact of the Global Financial Crises on Jordan Economy

2011· article· en· W1718344022 on OpenAlexvenueno aff
Mohammad Awwad Alzyadat

Bibliographic record

VenueCanadian social science · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLimitingSmall businessInvestment (military)Financial marketBusinessForeign direct investmentFinanceSmall open economyEconomicsFinancial systemMacroeconomics

Abstract

fetched live from OpenAlex

This study aimed to describe and categorize the roots of the financial crises, causes, factors that stimulated the financial crises, and the role of small business in limiting the effects of such crises. Further, the study described small business investments in Jordan and tested its current ability to withstand additional financial burdens and to compete for business investment opportunities. Data obtained from a random sample of 220 Jordanian small businesses.   The results of this study showed a positive role of small business Investments in coping with financial crises in Jordan. Small business investment represents 17.2% of the GDP in addition to attracting diversified foreign investments resulted from international trade agreements such as WTO and QIZ. The amount of small business investment exports reached 263 million JD distributed to 50 foreign markets. The study recommended establishing a small business investment fund to support local small business and provide interest free loans. Key words: Small business; Financial crises; Investment

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.222
Teacher spread0.201 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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