Evidence map›Paper›PMID 36875546›Full record

ArticleFrontiers in psychology2022

A holistic perspective to predict yoga tourists' revisit intention: An integration of the TPB and ECM model.

Eusebio C Leou, Huiqing Wang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Eusebio C LeouInstitute of Research on Portuguese-Speaking Countries, City University of Macau, Macao, Macao SAR, China.
Huiqing WangSchool of International Tourism, Anhui International Studies University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The purpose of this study is to empirically investigate the pattern of visitors' revisiting behavioral intention via the innovational approach of Theory of Planned Behavior (TPB) and the Expectation Confirmation Theory (ECT). Methods: This research was conducted by data collection with structured questionnaires as its instrument, which was distributed among 420 yoga tourism visitors in two destinations, Mysore and Rishikesh in India. Collected data had been processed by confirmatory factor analysis and structural equation modeling. Results: The data analysis results showed that the behavioral attitude of yoga tourism visitors can mediate the influence of behavioral intention through the satisfaction. The findings of this study include the following points: (1) the components of attitude, subjective norm and destination image apply a direct effect on the cultural and spiritual experiences of yoga tourism visitors; (2) cultural and spiritual experiences have a direct effect on the expectation confirmation and the satisfaction of yoga tourism visitors; (3) Expectation confirmation has a direct effect on the satisfaction and the behavior intention of yoga tourism visitors; and (4) Satisfaction has a direct effect on the behavior intention of yoga tourism visitors. Discussion: This study contributed by examining the satisfaction and revisit intentions of yoga tourism visitors through an integrated study of planning behavior and expectation confirmation models, which might be refilling the scarcity of research in the tourism literature. The result of this study might offer important implications for scholars, marketers, and tourism industry to better serve this emerging niche market.

Indexed as

behavior intentionsexpectation confirmation model (ECM)experience expectationsrevisit behavioral intentionrevisit intentiontheory of planned behavior (TPB)yoga tourism

Identifiers

PMID36875546
PMCPMC9974822

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.