Channel Switching between Domestic and Foreign Markets
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The authors develop a transaction cost model of the circumstances in which small, knowledge-intensive firms switch from the channel they use in the domestic market to a different channel in a foreign market. The authors argue that the domestic channel is frequently extended into a foreign market to gain economies of scale, because product characteristics are generally similar and because of strategic momentum. In knowledge-intensive sectors, integrated channels predominate in both domestic and foreign markets. Integrated channels facilitate the protection of knowledge-based assets and high levels of interaction with customers. However, firms may switch to a less-integrated mode in a foreign market if asset specificity is relatively low, as a response to environmental diversity, and when the market makes a small contribution to overall sales. Data gathered through a disk-by-mail survey of the export channel choices of Canadian software developers generally support these propositions. The authors make a contribution to the literature by rephrasing the channel selection decision so that the conditions under which firms switch modes are emphasized, thus linking the choice of modes in a foreign market to experience in the domestic market. The authors suggest that managers need to be aware of the momentum created by domestic channels and fully evaluate alternatives before extending existing channels into a foreign market. The results help identify conditions under which an international channel strategy that is different from the one used in the home market should be considered for a knowledge-intensive product.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 it