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Record W2086815883 · doi:10.1108/10610420310491693

The effect of cognitive busyness on consumers’ perception of product value

2003· article· en· W2086815883 on OpenAlexaff
Subramanian Sivaramakrishnan, Rajesh V. Manchanda

Bibliographic record

VenueJournal of Product & Brand Management · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsProduct (mathematics)Value (mathematics)Quality (philosophy)PerceptionMarketingCognitionAdvertisingBusinessHeuristicPsychologyComputer science

Abstract

fetched live from OpenAlex

In this paper, an interesting paradox is demonstrated – when consumers pay a great deal of attention to product and price information in an advertisement, they are likely to find themselves lacking the cognitive resources required to use that information in making a discerning assessment of the value of the product offering. Using three studies, it is shown that paying close attention to product‐ and price‐related information details causes cognitive busyness, which can cause consumers to engage in a greater degree of heuristic processing than those who are cognitively less busy. It is demonstrated that, when consumers are cognitively busy, they are less likely to accurately assess the value of price discount offers. Such cognitively busy consumers generally disregard the magnitude of the discount and the actual savings offered in forming their assessments of value for the offer. Non‐busy consumers, on the other hand, perceive differences in value as magnitude of discounts, price, or quality of product features being altered. Implications for managers and consumers are discussed.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.014
GPT teacher head0.256
Teacher spread0.242 · 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 designOther design
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
Published2003
Admission routes1
Has abstractyes

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