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Record W2044880114 · doi:10.5430/jms.v6n1p36

Brand Positioning Map: A Strategy Tool for Trademark Design

2015· article· en· W2044880114 on OpenAlex
Rain Chen, Minghong Wang

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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Management and Strategy · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
FundersNational Science Council
KeywordsTrademarkComputer scienceBusinessInformation retrieval

Abstract

fetched live from OpenAlex

The study used multidimensional scaling to build designer and consumer Brand Position Map, BPM. The research objectives are as follows: (1) Using trademark samples to build BPM, (2) comparing substantive differences between BPM built by designers and by consumers, (3) presenting a well-known trademark infringement case and using BPM to simulate a design strategy for the new trademark. The study chose 29 trademark samples of 29 boutique brands and requested 26 designers and 56 consumers to build the BPM. The investigators analyzed a classic trademark infringement case, HERMES vs. BNANE, and simulated a “New BANANE Trademark” design strategy. The investigators have found that the BPM built by designers have the trademark samples more concentrated, which suggests that designers' judgment on trademark samples are more consistent. As for consumers, their BPM has the trademark samples more dispersed, suggesting that their judgment on trademark samples is less consistent. Together, it means that experts and the general public use different standard for judging trademarks. In the HERMES vs. BANAE trademark case, BPM enables the investigators to clearly define the infringement scope of the trademark. BPM can also be used to simulate a design strategy for a new trademark. BPM provides a good brand positioning concept assisting the middle and high level company managers to implement brand positioning. BPM covers a wide range of aspects, including using BPM: (1) as a brand positioning analysis tool in the industry, (2) for design around of trademark design, and (3) for assessing the infringement scope of trademarks. Future researchers can also more thoroughly examine the application of BPM in different industries. BPM is a strategy tool for brand design. Using corporate brand positioning strategy is an approach for dealing with competitions among enterprises. BPM is a very effective ad comprehensive strategic tool for enterprises interested in more definite brand positioning.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.664

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 communication0.0010.001
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 head0.089
GPT teacher head0.281
Teacher spread0.191 · 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