Understanding the effect of smart tourism technologies on behavioral intention with the stimulus-organism-response model: a study in Guilin, China

被引：6
|
作者：
Xiong, Zhengde [1 ]
Luo, Li [1 ,2 ]
Lu, Xinxin [1 ]
机构：
[1] Hunan Univ, Business Sch, Changsha, Peoples R China
[2] Hunan Univ, Business Sch, Changsha 410082, Hunan, Peoples R China
来源：
ASIA PACIFIC JOURNAL OF TOURISM RESEARCH | 2023年 / 28卷 / 05期
关键词：
Smart tourism technologies; technology readiness; memorable tourism experiences; visitor engagement; partial least squares-structural equation model (PLS-SEM); S-O-R theory; VISITOR ENGAGEMENT; EXPERIENCE; DESTINATION; HOSPITALITY; ATTRIBUTES; READINESS; QUALITY; SCALE; SATISFACTION; VALIDATION;
D O I：
10.1080/10941665.2023.2246598
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This study develops a theoretical model to investigate the impact of smart tourism technologies (STTs) on visitors' revisit intention using the stimulus-organism-response theory. Moreover, the moderating effects of technology readiness on the relationships among STTs, visitor engagement and memorable tourism experiences (MTEs) are further examined. The results revealed that visitor engagement and MTEs significantly mediate the relationship between STTs and visitors' revisit intention. Moreover, negative technology readiness negatively moderates the relationship between STTs and visitor engagement. The findings suggest that to enhance tourists' MTEs and revisit rate, destination marketers should reduce travelers' discomfort with and insecurity about STTs.
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页码：449 / 466
页数：18
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