Exploring the impact of metaverse tourism experiences on actual visit intentions: An integrated model of presence, the Technology Acceptance Model, and the Theory of Planned Behavior

This study utilizes a combined model of two social cognitive models, protection motivation theory and theory of planned behavior, to analyze how smartphone use triggers the demand for DFT. For this purpose, this study conducted an online survey and used the quota sampling method. Of the collected response sheets, a total of 534 valid samples were used in the final analysis. The analysis verified the hypothesis using confirmatory factor analysis, correlation analysis, and structural equation modeling. This study presented that regarding threat and coping appraisals of smartphone use, perceived vulnerability and response efficacy positively affect protection motivation. And perceived subjective norm affects protection motivation. This result of study fills a gap in the field of DFT research through quantitative research and provides practical evidence that helps to capture the needs of DFT tourists and provides suggestions for the construction of DFT environments.

What drives tourists to take a digital‐free tourism?

Liu,

Jeon,

Yang

2024

Attitude towards service robots in tourism and hospitality services settings — The effect of multidimensional anthropomorphism and technology readiness

Baltaci,

Başer,

Çelik

2024

The use of technology in tourism is increasing day by day. Service robots are now on the agenda. The success of developments that envisage a new experience for consumer tourists depends on the accurate prediction of tourists' possible attitudes and behaviors and the influencing antecedents. This study examined consumer tourists' attitudes and usage intentions towards service robots on the multidimensional basis of anthropomorphism and technological readiness (TR). A survey was conducted with 1018 tourists in Türkiye face‐to‐face and using QR codes. Findings showed that attitude towards service robots (AR) mediated the relationship between anthropomorphism, technological readiness and intention to use (IS). Participating tourists anthropomorphically focused on the physical appearance of the robots rather than their functions and internal structures. Service robot experience is still limited in the tourism industry. Therefore, the empirical results obtained are guiding theory and practice in terms of academic studies and tourism service providers.

An investigation of technological innovation and tourism industrial structure upgrading as drivers of tourism economic growth

Yang,

Huang

et al. 2024

This study focuses on the drivers of tourism economic growth with technological innovation and tourism industrial structure upgrading as the key predictors. An empirical study was done with panel data of 71 countries for 1996–2016. Three‐stage least squares (3SLS) regression with cross‐sectional fixed effects was applied to estimate the parameters. The results suggest that both predictors are the driving force for tourism economic growth. Moreover, the results reveal that technological innovation has significant negative effects on tourism industrial structure upgrading. This suggests that if technological development is not firmly anchored in the regional economic development, any one‐sided pursuit of technological innovation can produce a “decoupling” effect, which constrains the upgrading of tourism industrial structure. The study has important practical implications for policy formulation to sustain long‐term development of the tourism economy.