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Record W2185030980

THE SIGNIFICANCE OF BRANDING IN THE PHARMACEUTICAL INDUSTRY

2005· dissertation· en· W2185030980 on OpenAlexfundno aff
Zahra Ladha

Bibliographic record

VenueSummit (Simon Fraser University) · 2005
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsnot available
FundersSimon Fraser University
KeywordsPharmaceutical industryBusinessAdvertisingBiotechnologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Traditionally, and for several years, consumer goods companies have relied heavily on branding to successfully market and sell products. Recently, however, the pharmaceutical industry has recognized the importance and significance of branding even more and has re-structured their marketing departments to now include brand managers for their products. Consumer goods companies have followed a particular structure in how they brand their products. It is still debatable, however, if this model can be transferred and adapted to the pharmaceutical industry. This paper discusses the meaning of branding in general, and discusses the advantages and disadvantages of it. Next, the need for branding in the pharmaceutical company is discussed followed by the advantages and challenges of branding in this industry. Examples are given of pharmaceutical companies that currently use these branding strategies. The paper proceeds with a discussion about specific branding strategies that are effective for this industry, and finally, consumer perceptions of generic versus branded drugs are examined. In addition to the secondary research discussed in this paper, additional primary research is conducted to answer several questions pertaining to consumer views on branded versus generic medications in terms of perception of price differential, advertising differences, and purchase decision influences. The results are discussed followed by some implications and conclusions. Finally, the project concludes with some recommendations to pharmaceutical companies about the results of the paper and tips for successful branding.

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 score0.957
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.281
Teacher spread0.234 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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