Implementing strategic initiatives in MNE subsidiaries: Contrasting the path-dependency and effectuation approaches
Bibliographic record
Abstract
Radical shifts in the macro-level environment, such as the fast digitalization of the economy and the imposed reconfiguration of global value chains (for instance because of global decoupling), have created new challenges for multinational enterprise (MNE) subsidiary managers. Radical shifts in the environment can have major implications for a subsidiary’s activities in the MNE’s value chain, and for its distinct underlying competences and role in the MNE network. What are the optimal subsidiary strategic responses, in the form of new investment initiatives, to radical shifts in the environment? We examine the implications of adopting a path-dependency versus an effectuation approach to guide subsidiary managers in responding to radical, exogenous shifts. We describe the path-dependency view on Patterns of subsidiary evolution. We then suggest that an effectuation approach can be useful to subsidiary managers facing radical environmental change, especially when enacting and implementing pattern-breaking investment initiatives, whereby they should attempt to broaden the range of reasonably possible options available to them and engage in experimentation.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".