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Record W4399018139 · doi:10.1002/jtr.2652

Exploring shopping tourism as an adjunct therapy to improve mental health: Evidence from <scp>PLS‐SEM</scp> and <scp>NCA</scp>

2024· article· en· W4399018139 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

VenueInternational Journal of Tourism Research · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAdjunctTourismMental healthAdvertisingBusinessPsychologyMarketingPsychotherapistGeography

Abstract

fetched live from OpenAlex

Abstract While previous tourism studies have examined mental health, additional research is necessary. Drawing on Rogers' theory of person‐centered therapy and self‐determination theory, this study explores shopping tourism as an adjunct therapy to improve mental health. 309 residents from Hong Kong who had shopping tourism experiences were surveyed. Partial Least Squares‐Structural Equation Modeling (PLS‐SEM) and Necessary Condition Analysis (NCA) were adopted. The results showed that shopping hedonism, consisting of memorable and fashion shopping, and tourism escapism had specific effects on tourists' self‐congruence and eventually enhanced mental health. While tourism escapism was shown through PLS‐SEM to be non‐significant in driving shopping tourists' self‐congruence, it proved to be a necessary condition of such self‐congruence in NCA. This study recommends that government agencies promote shopping tourism as a non‐conventional way of enhancing people's mental health. Destinations can also attract shopping tourists from the perspective of promoting their mental health.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0020.004
Open science0.0010.001
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 head0.229
GPT teacher head0.408
Teacher spread0.179 · 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