The effect of strategic management accounting on strategic supply chain through internal and external orientation
Bibliographic record
Abstract
This paper aims to empirically examine how public sector auditing agencies have strategically positioned themselves in a changing external operating environment and policy context. Specifically, this study aims to examine the effect of strategic management accounting on strategic supply chain positioning. The mediating roles of external and internal orientations were employed as mediating variables in this study. The research was conducted in the Audit Board of the Republic of Indonesia (BPK) in December 2022 to January 2023 by involving a total sample of 325 respondents. The data obtained in this study were analyzed using a variance-based structural method using the Partial Least Squares path modeling method through SmartPLS software. The findings showed that there is a significant influence of strategic management accounting on strategic supply chain positioning. The findings also emphasized the mediating roles of internal orientation and external orientation in strengthening the effects of strategic management accounting on strategic supply chain positioning. The results highlighted that strategic management accounting plays an important role in helping public sector auditing agencies to strategically position themselves in auditing practices. In addition, internal orientation can also help organizations to optimize the use and the allocation of internal resources. The findings presented in this study theoretically contribute to explaining empirical evidence regarding the effect of strategic supply chain positioning in strategic management accounting activities in public sector accounting and auditing practices.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".