VALUE DISTRIBUTION TO STAKEHOLDERS: A STUDY ON POWER AND STRATEGIC IMPORTANCE ON THE TORONTO STOCK EXCHANGE
Bibliographic record
Abstract
ABSTRACT The different stakeholder groups and their influence on value distribution have received increasing attention from organizations and academia. In the recent stakeholder literature, there has been a theoretical development on value distribution, considering the attributes of strategic importance and power; however, the literature still lacks empirical studies to analyze and understand the relationship. This paper examines the association between stakeholders’ power and strategic importance and the value distribution to them by publicly traded companies on the Toronto Stock Exchange (TSX). To obtain relevant information on companies’ treatment of their stakeholders, we analyzed the content of 104 prospectuses for the TSX IPO process from 2008 to 2019. The results reveal that power and strategic importance are relevant to the distribution of value to stakeholders and that the strategic importance of stakeholders has a more significant influence than their power. Regarding contributions, our study advances previous debates in stakeholder literature in theoretical and practical terms.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".