Heuristics and decision rationality in entry mode choice: Implications for decision effectiveness and international performance
Bibliographic record
Abstract
This study explores how heuristics (availability and representativeness) and analytic rational decision-making influence the selection of international business entry modes and their subsequent impact on decision effectiveness and international performance. Grounded in dual-process theories, the research develops hypotheses linking heuristics, analytic rationality, decision effectiveness, and international outcomes. Utilizing a quantitative survey approach, the findings reveal that integrating the availability heuristic with analytic rational decision-making enhances the quality of internationalization decisions, whereas combining analytic decision-making with the representativeness heuristic can diminish decision effectiveness. These results emphasize the critical role of balancing heuristic and analytical approaches in managerial decision-making for international entry, contributing to dual-process theories within the international business context and providing valuable insights into the cognitive strategies shaping entry mode selection and organizational performance.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".