How do small businesses pursue sustainability? The role of collective agency for integrating planned and emergent strategy making
Bibliographic record
Abstract
Abstract Research on sustainability strategy in large corporations has shown that carefully planned strategies can address environmental and social concerns. However, we still lack clarity on how small businesses form sustainability strategies. Assuming that small businesses can—or should—carefully plan strategies is inappropriate considering that such organizations often lack the needed resources, foresight, and formalized decision‐making structures. Building on the study of two craft breweries in Canada and Germany, we detail how a combination of planned and emergent actions enables owners, employees, and external stakeholders to jointly form strategic sustainability orientation. Developing these findings into an integrated activity‐based model, we show the need to move beyond the dichotomy between planned and emergent strategizing. We contribute a human‐centered perspective to the sustainability strategy literature and suggest that research should take the role of people in small businesses more seriously as here interpersonal relationships and collective agency are central in forming strategic sustainability orientation.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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 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".