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Record W1978018654 · doi:10.5539/ibr.v3n3p141

Primary Research of the Advantages and the Cost Control of the ABC & EVA Integrated System

2010· article· en· W1978018654 on OpenAlexvenueno aff
Haibo Hu

Bibliographic record

VenueInternational Business Research · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicValue Engineering and Management
Canadian institutionsnot available
Fundersnot available
KeywordsActivity-based costingCost accountingTotal absorption costingTarget costingCapital costBusinessProduct cost managementProduct (mathematics)Computer scienceWeighted average cost of capitalTotal costCost driverEconomic Value AddedOperations managementReliability engineeringCost engineeringEconomicsAccountingMathematicsEngineeringMicroeconomics

Abstract

fetched live from OpenAlex

The integrated product of Activity-Based Costing (ABC) and Economic Value Added (EVA) is the ABC & EVA system, i.e. the integrated cost system. Traditional ABC method gives priority to the interior activity chain of enterprise to implement the cost analysis, but ignores the capital cost, so the cost accounting is not complete. The ABC & EVA system brings the capital cost into the cost management, which could not only open out the real economic value created by the cost objects, but extend the pure cost computation of ABC to the performance evaluation. Based on the principle of the ABC & EVA system, the enterprise cost control strategies under the integrated cost system are proposed.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0010.001
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 head0.039
GPT teacher head0.330
Teacher spread0.290 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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