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Record W4413170934 · doi:10.1016/j.jbusres.2025.115645

Consumer flexibility and the effectiveness of limited time offers: the role of psychological reactance

2025· article· en· W4413170934 on OpenAlexafffund
Ashesh Mukherjee, Seung Yun Lee, Andrew D. Gershoff

Bibliographic record

VenueJournal of Business Research · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsReactanceFlexibility (engineering)PsychologyMarketingBusinessAdvertisingEconomicsManagementEngineering

Abstract

fetched live from OpenAlex

• The positive effect of limited time offers on product evaluation is attenuated or reversed into a negative effect when consumer flexibility is restricted by reduced purchase timing flexibility, store layout flexibility, return policy flexibility, and personal time flexibility. • Psychological reactance to restrictions drives the negative effect of limited time offers on product evaluation. • The negative effect of limited time offers on product evaluation can be reversed into a positive effect by including a statement in the offer that highlights future regret if the offer is missed. Retailers, e-commerce platforms, and television shopping channels often advertise limited time offers. Past research indicates that limited time offers generally increase product evaluation by prompting consumers to make inferences of product value. We show across eight studies that the positive effect of limited time offers is attenuated or reversed into a negative effect when consumer flexibility is restricted by lower purchase timing flexibility, store layout flexibility, return policy flexibility, and personal time flexibility. We also show that psychological reactance to restrictions drives the negative effect of limited time offers on product evaluation. Finally, we show that the negative effect of limited time offers on product evaluation can be reversed back into a positive effect by including a statement that highlights future regret if the offer is missed.

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)0.003
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 score0.072
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.064
GPT teacher head0.371
Teacher spread0.307 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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