Strategic Costing Models as Strategic Management Accounting Techniques at Private Universities in Riau, Indonesia
Bibliographic record
Abstract
As a strategic management in accounting, strategic coasting has attracted the practioners and scholars because the significant influences to comptetitive advantage and organizational performance. This study is aim to explore integrated strategic costing model as an effort to improve competitive advantage and performance of higher education institution. This study also provide the guideline for effectively and efficiently of cost control. A specific strategic costing –activity based costing, value chain costing, quality costing, lifecycle costing and target costing- was elaborated through literature review form each attributes simultaneously and according to comprehensive model that integrated each of principles. The study concluded the scheme is compatible and complete each other according to theoretical point of view due to the integrated implementation of the principles and attributes contribute to organization performance improve. We also argue that the scheme is contribute to distribution of strategic costing attribute and exploitation of organization resources. A new management system proposing to the incorporation of strategic costing attributes into the management of higher education organization resources, and some recommendations for practical use are presented.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".