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Record W4414417717 · doi:10.1108/apjml-03-2025-0556

The motivations of conspicuous consumption in the digital age

2025· article· en· W4414417717 on OpenAlexaff
Mark Cleveland, Carly Yuan

Bibliographic record

VenueAsia Pacific Journal of Marketing and Logistics · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsWestern University
Fundersnot available
KeywordsOperationalizationNomological networkSociocultural evolutionConsumption (sociology)Conspicuous consumptionPhenomenonConsumer behaviourSample (material)Scale (ratio)

Abstract

fetched live from OpenAlex

Purpose Conspicuous consumption (CC) is a phenomenon with tremendous significance to marketing theory, practice, and potentially, consumer welfare. Yet few studies have focused on the underlying reasons why individuals engage in CC. We characterize CC as being driven by a complex interplay of economic, psychological and social factors. Design/methodology/approach In Study 1 (n = 399), nine justifications were inspired from a review of the literature and operationalized with multi-item statements: snobbery, bandwagon, happiness, confidence, identity-building, distinctiveness, economic-scarcity, social-capital and quality. These nascent constructs were embedded within a nomological net of measures for pertinent individual-level characteristics (materialism, self-esteem and need-for-uniqueness), internally-held sociocultural values (vertical/horizontal dimensions of individualism-collectivism), social desirability bias, as well as two existing unidimensional scales for measuring behavioral aspects of CC. In Study 2, using a more representative sample (n = 393) we sought to replicate the CC dimensions and we investigated how these dimensions associate with social media (SM) use, SM motivations and SM addiction, alongside the constructs from Study 1. Findings In both studies 1 and 2, results empirically validated eight of the nine posited CC dimensions and corroborated many hypotheses regarding these motivations’ relationships with other constructs. We pinpointed which CC motivations are most strongly linked to CC behaviors, how these motivations are shaped by individual difference and sociocultural factors and whether and which CC motivations are exacerbated by SM use. Originality/value The CC scale allows for a finer-grained understanding of the complex nature of CC. The findings offer implications for segmentation, brand positioning and communication strategies, in terms of clarifying the various mechanisms behind CC and how these motivations are associated with different individual- and cultural- level characteristics. From a consumer welfare standpoint, the insights generated are useful for informing interventions to counteract potentially maladaptive consumer behaviors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.258
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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