Culture and corporate voluntary reporting
Bibliographic record
Abstract
Purpose The purpose of this paper is to explore the cultural underpinnings of accounting practices through a comparative analysis of India and New Zealand, using the chairperson's report, which is increasingly becoming one of the most important segments of the corporate annual report. Design/methodology/approach The annual reports of Indian and New Zealand companies from 2001 to 2005 were selected to investigate the extent and nature of information disclosure in their chairperson's report. “Content analysis” is the main methodological orientation of the paper. Findings The paper argues that, contrary to propositions based on Hofstede's cultural framework, Indian companies provide more disclosure in their chairperson's report than their New Zealand counterparts. This leads to the conclusion that voluntary disclosure, more generally, is a complex phenomenon and cultural variables alone may not be sufficient predictors of the voluntary disclosure practices of a country. Originality/value Using India and New Zealand, two countries with significant cultural differences, according to Hofstede's typology, the paper extends the literature by focusing on the chairperson's report, a more recent accounting phenomenon which is gaining popularity across the globe.
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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 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".