The Effectiveness of Commercial Diplomacy; a survey among Dutch Embassies and Consulates
Bibliographic record
Abstract
The global economic power shift towards the East has caused the governments of developed economies to support national businesses which are involved in the process of internationalizing and expanding across borders. Commercial diplomacy provides a means for governments to increase their international trade and to stimulate their national economies. Foreign posts play a crucial role in offering effective diplomatic support for international business. But what are the factors that can explain commercial diplomacy effectiveness at the foreign post level? This paper presents the results of a survey that was conducted among commercial diplomats stationed at foreign posts. It appears that the amount of experience that commercial diplomats acquired at these foreign posts, combined with their established business network form two of the most important factors which have a positive impact on the quality of commercial diplomacy. This extends further to include the importance of the client (business) preparedness in terms of knowledge and skills as well. Furthermore, the results indicate that the less favourable a cognitive institutional environment in a host country is, for instance in terms of information availability, then the more relevance commercial diplomacy will have. The results of this study promote the understanding of how commercial diplomacy works and show how the debate on the future of commercial diplomacy can be taken a step further. This study should also be seen as a starting point for an holistic framework of commercial diplomacy effectiveness
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".