The adoption of international accounting standards in Bangladesh
Bibliographic record
Abstract
Purpose This paper seeks to evaluate the recent decision of the Bangladeshi Government and accounting profession to adopt international accounting standards (IASs). Design/methodology/approach The paper uses a variety of archival data and interviews with key actors, including preparers and users of annual reports, members of the Securities and Exchange Commission, and members of the professional accounting bodies: ICAB and ICMAB. Findings The paper finds that institutional legitimisation is a major factor that drives the decision to adopt IASs because of the pressure exerted by key international donor/lending institutions on the Bangladeshi Government and professional accounting bodies. Such pressure results from not only the need to provide credibility to foreign investors but also the need for strong accountability arrangements with lending/donor agencies. However, the perceived undemocratic nature of the adoption process appears to be creating and enhancing conflict among various constituencies, resulting in very low compliance with these standards. Originality/value The paper contributes to the understanding of the diffusion of International Accounting Standards and the role of global agencies, such as the World Bank, within this process.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".