Motivations for issuing standalone CSR reports: a survey of Canadian firms
Bibliographic record
Abstract
Purpose – The purpose of this paper is to provide insight into the companies’ motivations to issue or not issue voluntary standalone corporate social responsibility (CSR) reports in the Canadian context. Design/methodology/approach – The authors realized a questionnaire survey that asked Canadian companies why they do or do not issue standalone CSR reports, what their motivations and costs are, and the extent to which they comply with GRI guidelines. Findings – The results show that larger firms issue standalone CSR reports. As larger firms have more political visibility and are subject to greater external scrutiny than smaller firms (Watts and Zimmerman, 1986), the findings indicate that firms primarily issue standalone CSR reports in response to external scrutiny by stakeholders, which is consistent with a stakeholder perspective. The survey also identifies that ancillary motivations for Canadian firms for issuing standalone CSR reports are consistent with legitimacy and signalling perspectives. Research limitations/implications – The authors acknowledge that the generalizability of the findings is limited due to the sample being situated within a single national context. The inferences drawn from such a sample in Canada may not be applicable to other countries with different national institutional contexts. In addition, the small size of the sample may limit the generalizability of the findings. The authors also did not specifically consider the quality of the CSR reports in the study. Finally, the work may be affected by the inherent weaknesses associated with survey research, including the inherent bias of the individuals responding to the survey. Originality/value – The research adds to the growing body of research on voluntary CSR disclosures, with particular reference to the Canadian context.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".