Institutional and organizational capabilities as drivers of internationalisation: Evidence from emerging economy SMEs
Bibliographic record
Abstract
Internationalisation, the notion of cross border business, has become one of the key strategies for growth for small and medium enterprises (SMEs) in developing countries in recent years. Although many SMEs have used internationalisation strategies, there remains a gap of understanding the relative importance of factors influencing SMEs internationalisation particularly from developing countries perspectives. Drawing on the Resource Based View of the firm (RBV) theory, this research develops and validates the dimensions and sub-dimensions of the drivers of internationalisation. The study further identifies the relative importance of these dimensions from a developing country context. The study used a questionnaire survey to collect primary data from 212 Bangladeshi SMEs based on area wise cluster sampling. This study used partial least square based structural model (PLS-SEM) to assess the key drivers for foreign market entry by developing country SMEs. The findings confirm that the drivers of internationalisation represent a hierarchical construct consisting of three primary and eight sub-dimensions. The study suggests that SME internationalisation in a developing country is contingent upon two categories of capabilities: critical organisational capabilities or resources (linked to internal processes largely associated with human resources) and critical institutional capabilities (associated with state level provision and the cultural fabric).
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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 | 0.001 | 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) | 0.001 | 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".