The main objective of this article is to investigate how the AI interactive approaches of travel apps affect tourists’ travel choices directly or indirectly through perceived images, in order to further understand whether tourists can have a favorable user experience in the face of this non-human service, and whether the interactive approaches should be adapted to satisfy the marketing intentions set by the travel app in response to the competitive strength in the marketplace. The research methodology uses quantitative analysis, hypotheses supported by a theoretical background and the formation of a research model, the collection of basic data through questionnaires, and data analysis using structural equation modeling with Amos 22.0. The major findings are associated with the essential role of the interactive approaches (including informativeness, playfulness, and personalization approaches) offered by the travel apps on both the users’ perceived images and travel choices. This not only emphasizes the role of AI interactive approaches in the experiential travel assistance provided to users, but also represents a stronger marketing element to the destination perceived image composition and travel decisions of tourists. The findings also support the development of approaches for human-android interaction and tourism marketing with AI as the main service. This research has the scientific value of an integrated disciplinary analysis that combines theories from computer technology, tourism management, and psychology.

The purpose of this study is to propose a comprehensive service model for integrating low-altitude technology into Guangzhou’s smart tourism ecosystem. This model aims to address the critical technological, operational, and governance challenges faced by urban tourism systems, providing a scalable framework to enhance operational efficiency, visitor satisfaction, and collaborative management. The study employs a theoretical approach by developing a three-layered service model based on extensive literature analysis, policy review, and case studies of drone applications in tourism. The model comprises the Core Technology Layer, Service Application Layer, and Governance and Collaboration Layer, each of which incorporates specific influencing factors, such as R&D investments, operational efficiency, and policy support. The research identifies the critical role of low-altitude technology, including drones, AI, IoT, and big data platforms, in transforming urban tourism systems. The findings demonstrate how real-time data processing and seamless governance can enhance tourism services, such as monitoring, emergency response, and immersive experiences. Additionally, the study highlights the importance of collaboration among policymakers, businesses, and stakeholders in ensuring the sustainable implementation of low-altitude technology. This paper advances the theoretical understanding of integrating low-altitude technology into smart tourism cities by developing a structured service model. It enriches the academic discourse on urban tourism by addressing the interplay between technological innovation, service delivery, and regulatory frameworks, providing a foundational framework for future research. The proposed service model offers actionable insights for policymakers, urban planners, and businesses in Guangzhou and other urban tourism cities. By aligning technological infrastructure with service delivery and governance, the model provides a roadmap for improving operational efficiency, enhancing visitor experiences, and fostering public-private partnerships. It also offers guidance for addressing key challenges such as regulatory barriers, public acceptance, and cost-benefit considerations, paving the way for more efficient and sustainable tourism systems.

Weather index insurance for crops is considered a beneficial supplement or even a replacement for traditional agricultural insurance products due to its advantages in payout efficiency and transaction costs. Among the countries implementing weather index insurance, India is one of the most representative. This paper briefly reviews the positioning and evolution of India's Weather-Based Crop Insurance Scheme (RWBCIS) within its agricultural insurance system, systematically elaborating on the specific measures and implementation experiences related to product design, operational systems, and supervisory mechanisms. The study finds that India positions RWBCIS as an effective supplement to traditional crop yield insurance, leveraging the synergy between the two by considering geographical location, land distribution, and climate types. The orderly implementation of RWBCIS is supported by comprehensive insurance data, a robust and transparent information platform, refined product design, and an extensive meteorological network. Additionally, the establishment of crop insurance calendars and supervisory penalty mechanisms clarifies the allocation of responsibilities and enhances the stability and sustainability of the insurance market. The policy approach of implementing RWBCIS in India, along with its specific arrangements in insurance operation mechanisms, may offer valuable insights for the top-level design of agricultural insurance and product innovation in the world.

Purpose: The main purpose of this paper is to investigate how international students as experienced visitors constitute perceived images of their sojourns destination under the influence of cultural attachment. Theoretical framework: The framework extends the three-dimensional structure of perceived image consisting of the cognitive image, affective image, and conative image dimensions supported by previous literature (Agapito, Valle & Mendes, 2013), adding the relevant influence of the cultural attachment dimension (Hong, Fang, Yang & Phua, 2013). Design/methodology/approach: The research methodology used quantitative analysis. The deductive approach was used as a guide to build hypotheses based on the logical inter-dimensional relationships described previously in the literature. 525 ASEAN Chinese with study abroad experience in Guangxi participated in the questionnaire investigation as respondents, and related data were tested for the stated hypotheses using SPSS 26.0. Findings: The main findings further support previous similar studies that there are important interrelationships in the internal composition of perceived images, and innovatively confirm the important role of cultural attachment on perceived images. Research, Practical & Social implications: The research makes distinctive use of the cultural experiences of overseas students, offering possibilities for tourism image communication and destination marketing. Originality/value: The results uncover the academic value of cultural attachment to destination image marketing, which enriches the theoretical system of tourism destination marketing to some extent.

This study, based on the Stimulus-Organism-Response (SOR) model, examines how technological immersion, cultural novelty, and aesthetic complexity influence Association of Southeast Asian Nations (ASEAN) students’ learning feedback in contemporary Chinese mixed media art courses (specifically rice paper painting) through the mediating roles of cognitive and emotional perception. The results show that cognitive perception significantly mediates the relationships between all stimulus variables and learning feedback, while emotional perception only has a significant effect on technological immersion and aesthetic complexity. This indicates that cognitive engagement plays a critical role in shaping learning outcomes in art education, whereas emotional engagement depends on specific types of stimuli and cultural backgrounds. Theoretically, this study provides a new perspective on cognitive and emotional mechanisms in cross-cultural art education, expanding the understanding of their interaction in the art learning process. Practically, the findings offer guidance for art teaching, curriculum design, and educational internationalization, particularly in enhancing students’ cognitive and emotional engagement through immersive technologies. The study is limited by the sample’s focus on ASEAN students, lacking broader applicability to other cultural backgrounds. Future research should expand the sample to include more diverse groups and adopt longitudinal designs to explore the long-term effects on learning feedback.

The research attempts to explain the psychological formation of the image of the sojourn by overseas students who are culturally homogeneous with the sojourn by constructing a comprehensive framework for the composition of the perceived image that contains the new dimension of cultural attachment. In particular, a group of 482 overseas Chinese students from ASEAN with learning experience in Guangxi are the respondents, benefiting from the deep ties between their ethnic and cultural backgrounds with mainland China. It is a strategic consideration based on Guangxi’s international tourism market and image promotion for ASEAN. The research uses quantitative analysis to combine the external influences previously supported in the literature, cultural attachment, and Cognitive-Affective-Conative (CAC) three-dimensional perceived image framework into a more comprehensive model to conduct a hypothetical-deductive study. The results of the quantitative analysis consolidate to a certain extent that the internal constitutive conditions of perceived image are promoted by the CAC model and further test the influence of perceived image under the combined effect of internal and external factors. Meanwhile, it is confirmed that cultural attachment has a strong role in the formation of the perceived image of a specific tourist group. The overall conclusions of the research are rich in academic significance and represent a theoretical expansion of the destination marketing system in response to real-world needs.