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Record W4224232919 · doi:10.1108/ejm-08-2019-0652

Consumer power: scale development and validation in consumer–firm relationship

2022· article· en· W4224232919 on OpenAlexaff
Sanam Akhavannasab, Danilo C. Dantas, Sylvain Sénécal, Bianca Grohmann

Bibliographic record

VenueEuropean Journal of Marketing · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsConcordia UniversityHEC Montréal
Fundersnot available
KeywordsNomological networkScale (ratio)Discriminant validityConstruct (python library)MarketingPsychologyConsumer behaviourSocial psychologyBusinessComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to report on the development and validation of a consumer power scale comprising a personal and a social power dimension. Personal power refers to consumers’ perceived ability to resist and ignore a firm’s marketing efforts. Social power refers to consumers’ perceived ability to influence a firm’s actions. Design/methodology/approach Following established scale development procedures, the construct definition and item generation preceded five studies that establish the scale’s dimensionality, psychometric properties and external, predictive and nomological validity. Findings Consumer power was modeled as a reflective first-order, formative second-order latent construct. The consumer power scale is psychometrically sound and possesses external and discriminant validity with regard to other power-related measures. Consumer power mediates the relation between consumers’ cognitive control and consumer satisfaction and between perceived choice and emotional responses. Research limitations/implications This research uses episodic recall tasks to elicit power perceptions in various contexts. Results suggest that the scale is useful in comparative and longitudinal tracking of consumers’ perceptions of power in relation to a firm. Originality/value Building on a comprehensive literature review and rigorous scale development, this paper introduces a scale of consumer power that comprises a personal and a social power dimension. A critical analysis of and a predictive validity test of the scale against existing power scales highlight its unique contribution. The scale lends itself to further theory tests regarding antecedents, consequences and moderators of consumer power.

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)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
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 head0.033
GPT teacher head0.233
Teacher spread0.200 · 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 designObservational
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

Citations8
Published2022
Admission routes1
Has abstractyes

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