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Record W2016285879 · doi:10.1080/10941665.2013.877043

The Impact of Experience Activities on Tourist Impulse Buying: An Empirical Study in China

2014· article· en· W2016285879 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAsia Pacific Journal of Tourism Research · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsBrock University
FundersNational Natural Science Foundation of China
KeywordsTourismChinaBusinessImpulse (physics)EntertainmentMarketingPleasureAdvertisingEmpirical researchContext (archaeology)PsychologyGeographyPolitical science

Abstract

fetched live from OpenAlex

Research and anecdotal evidence suggests that shopping is an important experience for tourists. In this context, the experience activities themselves may become part of the tourist's experience influencing impulse buying behaviors. Based on a sample of 323 Chinese domestic tourists, this research investigates how experience activities influence tourist impulse buying. The results indicate that customer participation can lead to a greater pleasure experience that produces the strongest impact on impulse buying. Meanwhile, to a lesser extent, customer learning and customer entertainment can also lead to a greater domination response, which can exert a greater influence on impulse buying. The findings are useful in designing tourism experience activities.

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.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.039
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.079
GPT teacher head0.421
Teacher spread0.343 · 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