Understanding the effect of smart tourism technologies on behavioral intention with the stimulus-organism-response model
A study in Guilin, China
Bibliographic Data
| ID | 12462017 |
|---|---|
| Authors | Zhengde Xiong (0000-0001-9813-766X, Business School, Hunan University, Changsha, People’s Republic of China), Li Luo (0000-0003-2009-9821, Business School, Hunan University, Changsha, People’s Republic of China, corresponding author), Xinxin Lu (0000-0002-4870-3632, Business School, Hunan University, Changsha, People’s Republic of China) |
| Year | 2023 |
| Volume | 28 |
| Issue | 5 |
| Pages | 449-466 |
| Publication date | 2023-05-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Asia Pacific Journal of Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 1094-1665 • E-ISSN: 1741-6507 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/10941665.2023.2246598 |
| OpenAlex | W4386035827 |
| Language | EN |
| Citations received | 13 |
| References cited | 89 |
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
Advertising · Business · China · Cognitive psychology · Geography · Stimulus (psychology · Tourism · Visitor pattern · Computer Science · Consumer Behavior in Brand Consumption and Identification · Digital Marketing and Social Media · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing
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| Unique citing works | 13 |
|---|---|
| Citations per year | 6,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 13 |