Tourist engagement: Toward an integrated framework using meta-analysis

Authors: Rasul, T., Santini, F.D.O., Lim, W.M., Buhalis, D., Ramkissoon, H., Ladeira, W.J., Pinto, D.C., Azhar, M.

Journal: Journal of Vacation Marketing

Publication Date: 01/10/2025

Volume: 31

Issue: 4

Pages: 845-867

eISSN: 1479-1870

ISSN: 1356-7667

DOI: 10.1177/13567667241238456

Abstract:

Tourist engagement (TE) has gained prominence in academia and industry. While previous studies have focused on exploring TE in tourism and hospitality, no consolidated empirical study has been conducted. We conducted a comprehensive meta-analysis using data from 73 independent studies retrieved from 72 papers, with a total sample size of 41,757. Our analysis, using meta-analytic structural equation modelling, tested a conceptual framework and found that tourist experience and TE individually mediate tourists’ satisfaction, emotion, behavioral intention, and loyalty. Additionally, cultural (e.g., power distance, individualism, uncertainty avoidance, indulgence) and economic (e.g., human development index) moderators influence TE. Our findings also suggest that popular global destinations enhance the relationship between tourist experience, engagement, and behavioral intention.

https://eprints.bournemouth.ac.uk/39551/

Source: Scopus

Tourist engagement: Toward an integrated framework using meta-analysis

Authors: Rasul, T., Santini, F.D.O., Lim, W.M., Buhalis, D., Ramkissoon, H., Ladeira, W.J., Pinto, D.C., Azhar, M.

Journal: JOURNAL OF VACATION MARKETING

Publication Date: 2025

Volume: 31

Issue: 4

Pages: 845-867

eISSN: 1479-1870

ISSN: 1356-7667

DOI: 10.1177/13567667241238456

https://eprints.bournemouth.ac.uk/39551/

Source: Web of Science

Tourist engagement: Toward an integrated framework using meta-analysis

Authors: Buhalis, D., Rasul, Santini, Lin, Ramkissoon, Ladeira, Pingo

Journal: Journal of Vacation Marketing

Publication Date: 30/03/2024

Publisher: SAGE

ISSN: 1356-7667

Abstract:

Tourist engagement: Toward an integrated framework using meta-analysis Abstract Tourist engagement (TE) has gained prominence in academia and industry. While previous studies have focused on exploring TE in tourism and hospitality, no consolidated empirical study has been conducted. We conducted a comprehensive meta-analysis using data from 73 independent studies retrieved from 72 papers, with a total sample size of 41,757. Our analysis, using meta-analytic structural equation modelling (MASEM), tested a conceptual framework and found that tourist experience and TE individually mediate tourists’ satisfaction, emotion, behavioral intention, and loyalty. Additionally, cultural (e.g., power distance, individualism, uncertainty avoidance, indulgence) and economic (e.g., human development index) moderators influence TE. Our findings also suggest that popular global destinations enhance the relationship between tourist experience, engagement, and behavioral intention.

https://eprints.bournemouth.ac.uk/39551/

Source: Manual