Unlocking corporate sustainability: the synergistic effects of integrated reporting and ownership concentration
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose This study aims to explore the potential effects of Integrated Reporting Quality (IRQ) on firm value and sustainability. Specifically, it investigates whether higher IRQ significantly affects various financial and non-financial dimensions of firm performance (FP). Additionally, it examines the moderating roles of ownership concentration (OC) and the mandatory adoption of Integrated Reporting (IR) in the IRQ–FP relationship. Design/methodology/approach The study draws on 108 integrated reports from European and South African companies over the 2017–2019 period. Using the International Integrated Reporting Council (IIRC) framework, the paper applies content analysis to assess 5,724 disclosure items and constructs a novel comprehensive IRQ metric. Findings The findings document a positive and significant effect of IRQ on firm value and sustainability. Furthermore, the results indicate that the impact of IRQ is considerably stronger under conditions of higher OC, particularly within a mandatory IR regime. Originality/value This research contributes to the literature by empirically examining the consequences of IRQ for sustainability performance. In addition, the introduction of a novel and reliable IRQ metric strengthens the rigor and credibility of the analysis. To the best of the authors’ knowledge, this is the first paper to investigate how OC moderates the link between IRQ and FP. The study also explores the differential effects of IRQ across diverse geographical and legal contexts and highlights the critical role of IRQ, particularly under mandatory IR, in driving firm value and sustainability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it