Examining the Conflicting Consequences of CEO Public Responses to Social Activist Challenges
Bibliographic record
Abstract
While the notion that CEOs have a general influence over their firms’ stakeholder strategies is well accepted, little attention has been given to how CEOs can actively and performatively manage social activism in and around their firms. I seek to develop an initial understanding of this phenomenon by examining some of the critical consequences of CEOs’ public responses to social activist challenges. Drawing on instrumental stakeholder theory and social movement theory, I recognize the dualistic nature of CEOs’ public responses to social activist challenges; that is, a single response can influence both the direct pressure received from the focal social activists confronting the firm as well as the potential pressure the firm could face in the form of additional challenges. I argue that a CEO’s accommodative public response—seen by social activists as a sign that the CEO and firm are aligned with their beliefs, values, and motivations—will be negatively associated with the focal social activists’ willingness to punish the firm. At the same time, however, a CEO’s accommodative public response sends a broader signal—reflective of the CEO and firm’s relative openness to social activism and social issues—that will be positively associated with the perceived attractiveness of the firm’s corporate opportunity structure for social activism, increasing the potential for the firm to receive additional social activist challenges. I conduct a laboratory experiment based on a real-life case and find support for my arguments. The results yield important implications for research on strategic leadership, stakeholder strategy, and social movements.
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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 | 0.010 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".