Cultural Distance and Entry Modes in Emerging Markets: Empirical Evidence in Vietnam
Bibliographic record
Abstract
Cultural distance is acknowledged as a crucial factor that significantly affects the entry mode selection of multinational enterprises. The purpose of this article is to analyze the relationship between cultural distance and entry mode choice by exploring a novel dataset of 5236 firms in Vietnam with foreign investment during the period 2005–2016. Although many studies were conducted about the cultural distance and entry mode nexus, most of the research mainly focuses on developed and developing countries, where a market economy is already established. It is important to expand the research to a transition economy such as Vietnam, where the government is committed to attracting foreign investment. The results indicate that, when the cultural difference between Vietnam and their home country is high, foreign-invested firms prefer wholly-owned subsidiaries (WOS) over equity joint ventures (EJV). The study contributes to the general understanding about cultural distance and entry mode decision of foreign-invested firms in emerging markets.
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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 | 0.001 |
| 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".