Conceptions of the Business-Society-Nature Interface: Implications for Management Scholarship
Bibliographic record
Abstract
This article explores the implicit and explicit conceptions of the relationship between business, society, and nature that are evident in the management literature. The authors derive three conceptions, termed the disparate, intertwined, and embedded views, and consider how they relate to the economic, social, and environmental challenges of our time. It is argued that an embedded view is best able to help us address these challenges, as it infers a holarchical (or holistically hierarchical) perspective of the business— society—nature interface: the notion that the business, societal, and biospheric systems are not only interrelated but that they are most realistically (and therefore most usefully) viewed as nested systems. The embedded view highlights systemic limits and the dependency of society and economy on nature, and it thus provides a logical value ordering to these domains. The authors conclude by discussing the research implications of an embedded view.
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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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.008 | 0.095 |
| Scholarly communication | 0.023 | 0.033 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".