This study investigates the role of Chat-GPT with augmented reality applications in enhancing tourism experiences in Thailand, focusing on behavioral intentions and innovation adoption to reduce stress in the tourism industry. The research addresses two key objectives: identifying factors driving consumers’ behavioral intentions to adopt AR apps and evaluating the robustness of a modified innovation framework for analyzing these intentions. A conceptual model integrating innovativeness, attitudes, perceived enjoyment, and revisit intentions was developed and tested using Structural Equation Modeling with data from 430 Thai tourists who have one to three years of mobile application experience. The findings highlight that service and technology innovation significantly influence perceived enjoyment and attitude, which in turn mediate the impact on behavioral intention to adopt augmented reality applications. At a significance level of p < 0.001, perceived enjoyment and attitude were identified as critical determinants of BI, underscoring the importance of intrinsic user experiences. Tourists are more likely to adopt augmented reality technologies based on personal perceptions and enjoyment rather than external recommendations. This research provides actionable insights for stakeholders in the tourism technology ecosystem, including technology providers, marketers, and policymakers. By emphasizing the interplay of social, emotional, and hedonic factors in shaping user attitudes, the study introduces a robust framework for advancing augmented reality applications in tourism. The findings underscore the importance of user-centric design to drive technology adoption and offer strategic guidance for developers and entrepreneurs aiming to enhance tourism experiences through innovative augmented reality solutions.

Poverty is a major challenge caused by various situations as well as cultural, social, economic, and political interactions. Therefore, poverty alleviation programs and strategies require an integrated approach carried out in consistent and organized stages. It required the participation of all parties, both regional heads, Regional People’s Representative Assembly (RPRA) members, entrepreneurs, and other elements of society. This study aimed to investigate the effect of local spending efficiency on public welfare in Indonesia, using a quantitative and explanatory method. The analysis method used in this study is the panel data regression model. The research population in all provinces in Indonesia was 34 provinces, and a purposive sampling method was used, where a total of 26 provinces were selected. The research period is 2017–2021. The efficiency of local spending (education, health, and infrastructure) is estimated using the Stochastic Frontier Analysis (SFA) cost function approach. The results showed that the higher the efficiency of education spending, the more it will increase public welfare in Indonesia. Meanwhile, the health spending efficiency and the infrastructure spending efficiency do not affect public welfare. The implications of this study for the development of science are that the efficient allocation of education spending will be able to improve the quality of education which is a long-term solution to overcome poverty in Indonesia and for policymakers to be able to optimize education spending to achieve the expected educational goals.

The growing interconnectedness of the world has led to a rise in cybersecurity risks. Although it is increasingly conventional to use technology to assist business transactions, exposure to these risks must be minimised to allow business owners to do transactions in a secure manner. While a wide range of studies have been undertaken regarding the effects of cyberattacks on several industries and sectors, However, very few studies have focused on the effects of cyberattacks on the educational sector, specifically higher educational institutions (HEIs) in West Africa. Consequently, this study developed a survey and distributed it to HEIs particularly universities in West Africa to examine the data architectures they employed, the cyberattacks they encountered during the COVID-19 pandemic period, and the role of data analysis in decision-making, as well as the countermeasures employed in identifying and preventing cyberattacks. A total of one thousand, one hundred and sixty-four (1164) responses were received from ninety-three (93) HEIs and analysed. According to the study’s findings, data-informed architecture was adopted by 71.8% of HEIs, data-driven architecture by 24.1%, and data-centric architecture by 4.1%, all of which were vulnerable to cyberattacks. In addition, there are further concerns around data analysis techniques, staff training gaps, and countermeasures for cyberattacks. The study’s conclusion includes suggestions for future research topics and recommendations for repelling cyberattacks in HEIs.

In the cultivation of talents in universities, in order to ensure the efficiency and scientificity of talent cultivation, the construction of an accounting professional teaching quality monitoring system based on "closed-loop control" is an effective path for universities to enhance their market core competitiveness and development power under the new curriculum reform. Under the new round of basic curriculum reform, the "Accounting Professional Teaching Quality Monitoring System Based on Closed Loop Control", as an integrated education system established from multiple dimensions, is of great significance for improving the quality and efficiency of current talent cultivation through rational application in university talent cultivation. In view of this, this article mainly systematically analyzes the significance of constructing a "Accounting Professional Teaching Quality Monitoring System" based on "closed-loop control", and conducts in-depth discussions on the current construction status and optimization path, in order to meet the national sustainable development demand for high-quality technical composite talents.

Detailed record and analysis of a psychological crisis intervention and counseling process of college students during the "epidemic period": understanding the basic situation of students, problem analysis and judgment that students is in a state of psychological crisis, Analyzing five factors: students' family economic difficulties, stressful life events (their father died in a car accident), poor academic performance, lack of social support and staying at home during the epidemic, A targeted psychological crisis intervention, At the same time, to strengthen social support, Improving the family environment; Psychological counseling is conducted in a planned way, Set the phased psychological counseling goals and achieve them gradually, Focusing on the two topics of "meaning of life" and "self-denial", carry out psychological counseling, Finally, guide the students to clarify the meaning behind the psychological behavior, Put down the burden and go on lightly; In summary, this case has achieved a good guidance effect in the remission, breakthrough period and consolidation period, However, it is still worth paying attention to and discussing on the limitations of student psychological counseling and the boundary of daily counselors.