THE LEVEL OF PRACTICAL APPLICATION OF ACTIVITY-BASED COSTING AND ITS DETERMINANTS
Bibliographic record
Abstract
The aim of this study is to define the scope and identify factors affecting the application of Activity-Based Costing in business entities in different countries. The main focus is on the review of major descriptions in English language literature of the findings of questionnaire surveys on practical application of ABC and ABM systems. In most cases the surveys covered specific groups of business entities in a given country. Special attention is devoted in this paper to questionnaire surveys conducted by J. Innes and F. Mitchell in 1994 and 1999 because they provided comparative data on the extent and reasons for the application and non application of ABC and ABM systems in the companies studied in Great Britain. Particularly important for the assessment of the extent, speed and determination of the diffusion of Activity-Based Costing are comparative studies covering business entities in several countries. This paper presents main conclusions arising from research carried out by: 1) Bhimani and Gosselin (2000), (enterprises in 7 countries: Canada, France, Germany, Italy, Japan, USA and GB),^^ 2)Bescos, Cauvin, Gosselin, Yoshikawa (2001) (enterprises in 3 countries: Canada, France, Japan).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".