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Record W2523391322 · doi:10.5539/ass.v12n10p76

Model of Marketing Innovative Strategies in International Entrepreneurship: A Global Business Environment

2016· article· en· W2523391322 on OpenAlexvenueno aff
Bahram Sattari, Javad Mehrabi

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsCompetitive advantageMarketingBusinessEntrepreneurshipBusiness environmentPrincipal (computer security)Marketing strategyMarketing managementValue (mathematics)Industrial organizationBusiness administrationComputer science

Abstract

fetched live from OpenAlex

Today small and medium sized businesses are considered the principal factor for the growth of the industrial structure of many countries. To developing countries that are attempting to revive their economic structure, these industries are of great importance. Today, with the growth and advancement of technologies, the impact of cutting edge technologies such as information technology on the business environment cannot be overlooked. The use of innovative marketing helps create value. The purpose of this paper is to investigate innovative marketing and competitive advantages of small and middle sized businesses, with regard to the innovative approaches and the company's unique features. The statistical group of this study included 300 subjects working in the companies that are active in manufacturing disposable containers in Tehran province. The results of the study indicated that innovative marketing has impacts on the companies' competitive advantage. The unique features of the companies have no impacts on obtaining competitive advantage, but it affects innovative marketing.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0210.002

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 head0.015
GPT teacher head0.228
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations11
Published2016
Admission routes1
Has abstractyes

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