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Record W2297406206 · doi:10.19030/jdm.v2i4.5022

Gaining Strength For A New Future: Bosnia And Herzegovinas Export Opportunities

2007· article· en· W2297406206 on OpenAlexaff
Emin Çivi, Elif S. Persinger, Aziz Šunje

Bibliographic record

VenueJournal of Diversity Management (JDM) · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsProsperityInternational tradeProduct (mathematics)BusinessInternational economicsWorld tradeFood productsInternational marketEconomicsEconomic growthChemistryFood science

Abstract

fetched live from OpenAlex

International trade is crucial for Bosnia and Herzegovinas (B&H) economic prosperity. In this study guidance to B&H exporters is provided by identifying potential markets and products to focus on when designing future trade strategies. To this end trends in the world trade and trade patterns are examined using various approaches.First approach to identify the potential markets for the B&H exports called for identifying the countries with highest general demand for Bosnia and Herzegovinas current export products. The products Bosnia and Herzegovina exports most along with the countries that demand these products the most in the world are identified. The second approach for identifying the potential export markets for B&H products examine the import volumes of other countries in the world. Still a more fruitful approach for the B&H exporters, at least in the short term, is to target the markets with the fastest growth of import volumes (the third approach). In the fourth approach, untapped trade and highly untapped trade countries that should be targeted by B&H exporters are presented. The fifth approach for identifying the potential export markets for B&H products is based on examining the products whose imports increased fastest in recent years and the countries that imported these products most.The products/product groups that have the highest potential for B&H export success are also identified. First, most imported products as well as the products/product groups whose exports increased the fastest in recent years are examined. Second, the import volumes ten countries with the highest total imports are examined on a product basis to identify the products they import most as well as the products with the highest growth rate of imports. Third, product categories with untapped trade potential and highly untapped trade potential along with their respective markets are presented.Long term sustainable success in the ever changing global economy requires a close and continuous scanning of the trends in the environment. The analysis approaches described above provide B&H exporters a starting point in evaluating their product and market selection strategies and designing new ones for the future.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.065
GPT teacher head0.238
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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