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Record W2165355457 · doi:10.5539/ass.v11n3p26

Self-extension and Purchase Behavior of Dog Related Products and Services: An In-depth Interview among Selected Malaysian Dog Owners

2014· article· en· W2165355457 on OpenAlexvenueno aff
Andrew Lee Hock Cheong, Kok Hou Yi

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingExtension (predicate logic)Possession (linguistics)MarketingBusinessPsychologyQualitative researchAdvertisingSociologyComputer science

Abstract

fetched live from OpenAlex

This paper discusses the findings of an explorative study among selected Malaysian dog owners who regard theirdogs as extended-self and their purchase behavior of dog related products and services. A qualitative researchwas conducted to gain some deeper insights on purchase behavior of dog related products and services, an underresearch area. The study aimed to determine whether these dog owners consider their dogs as an extension oftheir selves and describe their purchase behavior. In-depth interviews were conducted and four major themes onpurchase behavior of dog related products and services emerged, namely loving my pet dog means loving myself,sense of possession, attachment and sacrifice and my pet is like me. The findings show that generally these dogowners consider their dogs as an extension of themselves with some participants demonstrating a strongerself-extension on their pets. Dog owners who view their dogs as their extended self, made purchase decisions asthough they were purchasing and consuming these products and services for themselves. This understandingoffers practical insight to marketers when marketing dog related products and services.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.453

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 communication0.0000.001
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 head0.017
GPT teacher head0.260
Teacher spread0.243 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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