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Cash Budgetan Imperative Element of Effective Financial Management

2013· article· en· W1522118992 on OpenAlexvenueno aff
Kwame Oduro Amoako, Emmanuel Opoku Marfo, Kelvin Evans Gyau, Felix Oppong Asamoah

Bibliographic record

VenueCanadian social science · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsMarket liquidityCashBusinessFinanceCash managementElement (criminal law)Cash flow forecastingInvestment (military)Financial management

Abstract

fetched live from OpenAlex

A firm’s life highly depends on the availability of funds to meet impending obligations as well as efficient employment of excess funds so as to minimize wastages. This paper focuses on cash budgets as a tool that every financial manager should use in ensuring availability as well as effective utilization of cash. Whilst excess liquidity communicates a mangers lack of investment innovativeness, lack of funds to meet short term obligations could also depict a manager’s inability to plan on where and when to get adequate funds for business activities at a lower cost in the short term. Another area of interest in the paper is the role of effective financial management in any organization. Nevertheless, the paper concludes that cash budget preparations enable managers to identify possible future liquidity challenges and at the same time creates a platform for addressing such challenges.

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)0.009
metaresearch head score (Gemma)0.031
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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

Citations7
Published2013
Admission routes1
Has abstractyes

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