The Challenge of the Multinational Corporation to Organization Theory: Contextualizing Theory
Why this work is in the frame
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Bibliographic record
Abstract
Organization scholars have increasingly looked to the multinational corporation (MNC) as a convenient research site for testing and developing general hypotheses applicable to any organization. In this essay, we argue that theorizing about organizational processes in the MNC needs to treat the MNC itself as a research object: that is, to recognize that the complex multidimensionality of the MNC will influence the phenomena under investigation and needs to be incorporated into research design and conceptual framing. To do so requires what we term contextualized explanations: styles of theorizing that view context as constitutive of organizational phenomena. We reanalyse an existing study of identity work in the Carlsberg Group to demonstrate the theoretical insights to be gained from a contextualized approach. Our case analysis illustrates how integrating the MNC into the explanation changes our theoretical understanding of the phenomena being investigated.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it