Entrepreneurial Internationalisation: The Role of Distributor/Client Relationships
Bibliographic record
Abstract
This paper examines the nature of SME (Small to Medium Sized Enterprise) international marketing strategies, using a framework developed by Merrilees and Tiessen (1999). This framework highlights two main types of marketing strategies: relationship‐driven and sales‐driven. The original study was developed using case studies of Canadian SMEs exporting to Japan whilst this current paper employs a quantitative survey of 182 SMEs. The addition of this quantitative sample enables a more analytical approach to be employed to aid our understanding of the particular nature of SME relationship marketing in an international context. Two different methodologies, factor analysis and cluster analysis are used for this purpose. Finally, the paper investigates the link between relationship activities and export performance. The paper confirms the usefulness of the Merrilees‐Tiessen classification of SME international marketing strategies, develops a new classification of SME international relationship marketing, and establishes a link between superior relationship activities and superior export performance.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".