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Record W2005357948 · doi:10.5539/ijef.v3n4p151

Assessment of As-siddeek Savings Cooperative Limited’s Goodwill Valuation

2011· article· en· W2005357948 on OpenAlexvenueno aff
Chinasak Suwan-achariya, Kalasom Lahteh

Bibliographic record

VenueInternational Journal of Economics and Finance · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGoodwillCustomer baseDatabase transactionBusinessValuation (finance)MarketingProfit (economics)Transaction costIndustrial organizationFinanceAccountingEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

In the current economic crisis occurs the intensity of severe competition for customers finding.Therefore, agencies and organizations are focused on the role of assets which are non-material, particularly goodwill, it is able to create a good image to customers and have an established base, importantly, it also is able to add value to the organization. As-siddeek Savings Cooperative Ltd. is currently an organization where focused on it, so that the applicable marketing with religion to the credit transaction has happened.As a result, the study found that the exchange of agreement in accordance with a legal act to partnerships between the cooperative’s memberships to comply with the principles of Islam what cause the low transaction cost, forming the principles of marketing in the type of the saving and trade cooperative effects in growth including customer base. Confidence to the financial stability to the cooperative and the occurring goodwill to members and breadth its customer base is the source of abundant profit for practical that reflected in financial reports that are different from the general cooperatives.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.029
GPT teacher head0.249
Teacher spread0.219 · 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 designNot applicable
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

Explore more

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