The Influence of the Eco-Control Package on Environmental and Economic Performance: A Natural Resource-Based Approach
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
ABSTRACT While a growing body of literature has examined and demonstrated the influence of eco-control on organizational performance, little is known about how this influence occurs within the organization. Building on a natural resource-based view, the aim of this study is to investigate the extent to which the eco-control package supports environmental capabilities that, in turn, contribute to an organization's environmental and economic performance. Using survey data from a sample of Canadian manufacturing firms, the results of this study suggest that eco-control may constitute a mechanism that can support environmental capabilities in order to contribute to a firm's environmental and economic performance. More specifically, these results suggest that the eco-control package fosters eco-learning, continuous environmental innovation, stakeholder integration, and shared environmental vision capabilities that can, in turn, contribute both directly to the firm's environmental performance and indirectly to economic performance. Also, some evidence suggests that different eco-control practices support different environmental capabilities and that the simultaneous use of several eco-control practices seems to be necessary to support the implementation of a complete set of environmental capabilities.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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