Abstract
Purpose: This study's goal is to look at how visitors' experiences affect the indirect links between the destination's extrinsic motivations (DEMs) and tourists' intrinsic motives (TIMs), on the one hand, and the perceived destination image (PDI), on the other. Design/methodology/approach: Using structural equation modeling, 613 tourists from different nationalities were used to test the five hypotheses. Findings: The research results revealed that second-order destinations' extrinsic motivations directly impact TIM and PDI. It also showed that tourists' experiences as moderators reduce the direct effect of DEM on PDI for first-time visitors compared to repeat visitors. Moreover, it increases the direct effect of TIM on PDI for repeated visitors. Practical implications: Destination managers can fix the problems that hurt their reputations and images by hiring police officers in tourist areas and cleaning tourist places. In the same way, destination managers and travel agencies should use AI tools to create social media marketing campaigns focusing on natural and historical monuments. Also, the marketing plans should stress the value for money (for example, lodging, food and attractions’ cost). Finally, destination marketers can make programs for repeat visitors, focusing on DEM and TIM. Originality/value: This article tries to fill a gap in the research on PDI formation in emerging markets as a modern technique in destination marketing by using the push-intrinsic and pull-extrinsic theories. It also looks at how the tourists' experiences moderate the direct link between DEM, TIM and PDI. Lastly, this study examines how TIM affects a destination's image in emerging markets.
Original language | English |
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Journal | Kybernetes |
DOIs | |
Publication status | Accepted/In press - 2023 |
Keywords
- Destination's extrinsic motivations
- Emerging markets
- Perceived destination image
- Tourists' experiences
- Tourists' intrinsic motives
ASJC Scopus subject areas
- Theoretical Computer Science
- Control and Systems Engineering
- Computer Science (miscellaneous)
- Engineering (miscellaneous)
- Social Sciences (miscellaneous)