Recipes for Successful Sustainability: Empirical Organizational Configurations for Strong Corporate Environmental Performance
Bibliographic record
Abstract
Abstract We examine 45 existing case studies of firms with strong corporate environmental performance (CEP) to empirically identify four organizational configurations for successful sustainability. These four configurations represent different combinations of variables describing a firm's external environment, organizational structure, and its strategy‐related activities. More specifically, these configurations vary in having a benign or challenging external environment, a mechanistic or organic structure, a low‐cost or differentiation strategy, hands‐on or hands‐off participation by the top management team, high or low consideration given to stakeholders, and a short‐ or long‐term time orientation. Taken together the four organizational configurations introduce an understanding of equifinality for achieving CEP. In other words, given an adequate variety of ingredients, there are multiple recipes for successful sustainability. Implications for scholars, practitioners and policy‐makers and other stakeholders are discussed. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".