Stakeholder Marketing and the Organizational Field: The Role of Institutional Capital and Ideological Framing
Bibliographic record
Abstract
This article adopts an institutional-based perspective to stakeholder marketing. This perspective directs attention to an organizational field level of analysis in which an organization's environment is punctuated by trigger events that prompt the assemblage of a particular mix of stakeholders. A thematic, interpretive, and longitudinal analysis of more than 2000 articles from 45 years of grocery retail trade journals reveals that the ensuing stakeholder dynamics that constitute an organizational field serve to afford or deny the marketer vital cultural, social, and economic capital. In turn, the capital possessed by or denied to the marketer influences the ideological frame the marketer may use in coming to terms with how to interact with stakeholders. Importantly, the authors find that strategic and institutional factors interpenetrate, presenting important implications for how stakeholder marketing should be understood.
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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 | 0.023 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.006 | 0.041 |
| Scholarly communication | 0.018 | 0.018 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".