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Record W2004545497 · doi:10.1108/jpbm-09-2013-0385

The nation brand molecule

2013· article· en· W2004545497 on OpenAlexaff
José I. Rojas‐Méndez

Bibliographic record

VenueJournal of Product & Brand Management · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsCarleton University
Fundersnot available
KeywordsConstruct (python library)MarketingSet (abstract data type)Brand equityBusinessAdvertisingMeasure (data warehouse)PsychologyComputer scienceData mining

Abstract

fetched live from OpenAlex

Abstract Purpose The paper's aim is to determine, by means of an extensive exploratory study and the metaphorical use of a molecule, the set of dimensions and facets that exist in people's minds in regards to a country brand, and at the same time to compare the results with the dimensions used by practitioner-led sources to measure the same construct. Design/methodology/approach A total of 532 graduate students living in 20 different countries freely reported the concepts they associate with different country names. The construction of the nation brand molecule was carried out in three steps: generating the inventory of all the associations made by participants in relation to country names; classifying the inventory; and mapping the molecule. Findings The nation brand molecule (NBM) which encompasses all the associated concepts that give shape to the overall molecule was developed. Seven dimensions, with their corresponding facets, were identified: economy, tourism, geography and nature, culture and heritage, society, science and technology, and government. Research limitations/implications First, the sample was significantly biased towards graduate students. Second, the free elicitation process was requested mainly focused on nation brand personality, so there still may be some country facets not included in the NBM. Finally, this study does not have a hierarchy or relative weight of each of the molecule's dimensions. Practical implications The seven dimensions identified here match some of those used by private sources to measure country brand. However, this study uncovers two dimensions that are not considered by either of the private sources: geography and nature, and science and technology. This may demonstrate that what should be measured is not exactly what has been measured, and therefore indicates a potential content validity problem of the private measures currently in use. Originality/value This paper is the first to explore the dimensions comprising the nation brand construct at a multinational scope. Although practitioner-led indexes have been widely used for many country-branding projects, they only show what is being measured but not what should be measured in regards to the country brands, and therefore this paper fills the gap that exists in the current state-of-the-art.

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)0.002
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.804
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.010
GPT teacher head0.257
Teacher spread0.246 · 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

Citations77
Published2013
Admission routes1
Has abstractyes

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