MétaCan
Menu
Back to cohort
Record W2506815333 · doi:10.1108/jpbm-07-2015-0935

How customer and product orientations shape political brands

2016· article· en· W2506815333 on OpenAlexaff
Alessandro Bigi, Emily Treen, Anjali Bal

Bibliographic record

VenueJournal of Product & Brand Management · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPoliticsProduct (mathematics)MarketingMarket orientationPosition (finance)RealmOrientation (vector space)ArchetypeBusinessPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to present a theory of consumer and product orientation in the realm of political branding to illustrate how politicians can choose to position and present themselves to voters. It is evident that some politicians play an active role in shaping the beliefs and actions of their constituents, while others are more influenced by voter sentiment. The effectiveness of the political strategy is highly influenced by the market realities of the voting body in question. Design/methodology/approach A dichotomy is presented to shed light on how consumer and product orientation might influence the way in which politicians choose to address the public. Specifically, four modified strategic orientation archetypes are presented and analyzed with particular focus on political brands and strategy. Findings Product and consumer orientations have been shown to also be applicable to the strategic positioning of political brands. While it can be argued that no strategy is superior over another, careful consideration of the political environment in question and subsequent execution of an appropriate stance can be used to better manage the relationship between the electorate and politicians. Research limitations/implications This study provides academics in this area with a comprehensive examination of strategic orientation literature in political contexts, and lays out a strong groundwork for future studies. In this burgeoning area of research, there are several opportunities for marketing and political strategy academics to dive deeper into the intricacies that drive politicians to adopt specific strategic orientations, and how these strategies evolve over time and in differing political environments. Practical implications This analysis suggests that there are opportunities for political strategists to explore the relationship between the identified strategic orientations and political brands, and for political marketing scholars to investigate the modes of focus presented. Originality/value This analysis provides better understanding of how politicians can influence voters and voters can influence political brands, and how the strategic orientation archetypes can be used to influence decisions about political strategy.

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)0.001
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: Empirical
Teacher disagreement score0.934
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.024
GPT teacher head0.315
Teacher spread0.291 · 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

Citations15
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Product & Brand ManagementSame topicSocial Media and PoliticsFrench-language works237,207