Understanding the Paradox in the Results of National Cultural Distance Impact on International Joint Venture Performance: A Narrative Review of Prior Literature
Bibliographic record
Abstract
The literature on international joint ventures (IJVs) continues to grow owing to their crucial importance in global market competition. National cultural distance (NCD) between partner firms is conventionally considered one of the main contributors to unsatisfactory IJV performance, leading to its dissolution. Nevertheless, there is no consensus on the extent of the impact of NCD on IJV performance, nor on whether this impact is predominantly positive or negative. Therefore, we conducted a narrative review to shed light on prior research (including the earliest works) to explore and clarify the causes of these apparent inconsistencies in the research’s results. Theoretically, the current research offers guidance for future study on the topic. Researchers should introduce moderator and mediator variables in pursuit of a more nuanced understanding such as mutual trust between partners. Practically, this paper will help IJV managers mitigate the negative effects of NCD and improve overall venture performance by selecting culturally intelligent managers, providing cross-cultural training for IJV staff, and implementing cooperative conflict resolution. Like any study, this paper has some limitations that should be examined by future researchers.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".