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Record W2894996338 · doi:10.21272/mmi.2018.3-12

National brand as a marketing determinant of macroeconomic stability

2018· article· en· W2894996338 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMarketing and Management of Innovations · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Business Development Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsMarketingGovernment (linguistics)Brand equityEmpirical researchBrand managementBusinessGlobalizationCompetitive advantageValue (mathematics)Rank (graph theory)Spearman's rank correlation coefficientEconomicsStatisticsMathematics

Abstract

fetched live from OpenAlex

Modern tendencies of globalization and counties' competitiveness increasing make governments search absolutely new approaches and relevant tools to raise their competitive capacities. The research explains why marketing factors of the competitive strengths formation today have an urgent value for describing and substantiation marketing strategies of cities and municipalities, regions and territorial communities, countries as a whole. The purpose of the paper is to study the marketing factors of the country's competitive advantages and determine the influence of the national brand on the macroeconomic stability of the country. The authors checked the hypothesis of the correlation between country's brand (which perception by the non-residents) and macroeconomic indicators of the efficiency level of brand using by the country. With purpose to check abovementioned hypothesis authors developed two level approach. At the first level the authors proposed to estimate the performance of using brand by the country which take to account countries the competitive strengths of the country in the global environment, consisted from the composite indicators which allocated by the PESTLE method and could be quantitively evaluated corresponding to the international methodology. At the second level the authors estimated (using the Spearman's rank correlation coefficient) nonparametric statistical relations between country's brand perception by the non-residents (indicated by the FutureBrand methodology, which based on the quiz of the respondents' group: external investors, tourists, government of others country ant etc.) and economic performance of brand using by the government. The empirical proven of the hypothesis were made by the using of two data samples. The first dataset involved the ten strongest brands according to the rating of NBI since 2008. The finding confirmed the linear correlation between level of macroeconomic stability and strongest of the national brand for Germany, France and Canada. The base for the second dataset was information from the raiting SIE in EU and Ukraine for 2010-2015 years. The hypothesis was confirmed for Sweden, Germany, Finland, Denmark, Austria, the Netherlands, Croatia, Ukraine.

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.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.039
GPT teacher head0.245
Teacher spread0.206 · 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