The Impact of Stakeholder Management on Corporate International Diversification
Bibliographic record
Abstract
Abstract This article explores the relationship between stakeholder management and international diversification. We differentiate between strengths and concerns in stakeholder management to demonstrate the differential effects of the two aspects of stakeholder management. Previous research on stakeholder theory often focuses on the importance of stakeholder relations, trying to build a business case of relational capital that results from strong stakeholder management. Such a relational approach, however, overlooks the process of managing stakeholders, a process that allows firms with strengths in stakeholder management to develop an important capability of managing tensions. In this study, we argue that this capability, an inherent part of stakeholder management, can be critical when firms face increased complexity during the process of international diversification. We therefore propose that strengths in stakeholder management are positively related to international diversification, while concerns in stakeholder management are negatively related to international diversification. Using panel data for 169 US multinational firms over a 10‐year period, we find support that strengths in stakeholder management facilitate international diversification. We discuss the contributions of our findings to stakeholder theory and international business research.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".