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Record W4413224165 · doi:10.1080/0267257x.2025.2545538

Consumers living with dementia: a scoping review of overlooked marketplace experiences

2025· article· en· W4413224165 on OpenAlexaff
Valentina Primossi, Linda Garcia, Michael S. Mulvey

Bibliographic record

VenueJournal of Marketing Management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDementiaBusinessMarketingPublic relationsInternet privacyPsychologySociologyPolitical scienceMedicineComputer science

Abstract

fetched live from OpenAlex

Consumers living with dementia (CLWD) represent an emerging segment with distinct needs, yet they remain underrepresented in marketing research. Through a scoping review, 77 publications from 1990 to 2024 met our selection criteria which included being related to older adults living with disabilities, including dementia and focusing on consumer-centric terminology. Our analysis reveals four factors that influence the reporting of the experiences of CLWD: publication date, interdisciplinary engagement, consumption patterns, and consumption types. We examine these findings using vulnerability and marketing system theories, culminating in a multi-level framework for marketplace inclusion and research. Despite the growing recognition of this consumer segment, support remains inadequate and significant gaps persist in the marketplace, underscoring the need for more inclusive marketing strategies targeting the unique needs of CLWD.

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)0.015
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.062
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0220.025
Science and technology studies0.0010.002
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0020.001
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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations4
Published2025
Admission routes1
Has abstractyes

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