Internationalization of small businesses of border region: A study of the determinants
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Cross border entrepreneurship has been accepted as a strategy to boost economic development of the areas that are typically peripheral to national territories. In the same line, the small businesses of three bordering states of northeastern region of India (NER) have been trying to internationalize their activities by utilizing long international border with Bangladesh. The present paper attempts to identify the factors that play a critical role during the internationalization process of small businesses of NER with Bangladesh, and possible measures that can be considered to reduce the impact of the identified barriers. In order to understand the background of cross border interactions, this paper, first, factually ascertains characteristics of the trade flow across the borders of the three states of NER with Bangladesh and vice‐versa. More specifically, the following were examined through the analyses of: a) quantum of cross border trade flow across 15 designated land port customs stations b) quality of trade flow in terms of commodity traded and variety of trade basket. The paper also analyses the stage wise business relationship development process of small businesses of bordering states of NER with their Bangladeshi counterpart and provides insights to the different entrepreneur centric factors and regulation centric factors that effect relationship formation. This paper argues that for achieving the economic benefits, arising out of unique geographical position of NER, a clear understanding of the cross border business relationship developmental process and the associated factors are important for the policy makers of both the countries to assess the situation in a better way and make or adjust policy prescriptions accordingly.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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