Technology is developing at a faster pace than ever before. Thus, it becomes very important for hotels and the hospitality industry to combine the latest technological innovations to expand their business base and customers. Today's tourists are more interested in experiencing virtual technology while they are on travel. Tourist need an online information about accommodation that they can easily find wherever they go to. A hotel with its virtual images on their website or other booking applications would interest tourists. However, it was confirmed that a virtual hotel tour is also an option that most travelers choose to observed before booking a room. Unlike the previous photos and digital imagery, with the help of a virtual hotel tour, viewers can fully immerse themselves into the hotel facilities and can judge the state of the hotel. This study aims to prove customer acceptance of the performance of Virtual Reality technology in the hotel industry so as to increase tourist intention to come and stay at hotels. This research will be carried out by collecting primary data derived from the dissemination of surveys with purposive sampling techniques. This research will be analyzed with structure equation modeling analysis techniques.

Currently, university students are at a high risk of stress due to university adjustment, educational interruption, and alterations in daily life because of the COVID-19 pandemic. This study examined the relationship of psychosocial and physical factors with stress in university students during the pandemic. Demographic, psychosocial, physical, and self-perceived stress level information were obtained from 409 Thailand university students. A multiple regression analysis was performed, with stress level as the dependent variable and gender, age, study period, study program, social support, self-esteem, health literacy, health behavior score, sedentary behavior, and physical activity (PA) as independent variables. Most participants had moderate stress levels (68.9%), high self-esteem (83.9%) and social support (66.5%), fair health literacy (41.1%) and health behavior (32%), sedentary lifestyle (85.3%), and PA-levels lower than 600 min per week (57.46%). The regression analysis showed that 45.7% of the variability in stress level was predicted by self-esteem, study period, social support, travel domain of PA, and health behavior. COVID-19 and the attendant restrictions resulted in moderate levels of stress in Thailand university students. High self-esteem, long duration of study, great social support, and having healthy behavior may contribute to the prevention of stress in this population.

The relationship between customer experience towards customer loyalty in online food delivery services in Thailand has been the subject of a few studies on customers in Generation Z. This study aims to explore the effect of the perception of customer experience, customer satisfaction, and customer loyalty, focusing on Generation Z in online food delivery service. The samples are randomly selected from 400 respondents from Generation Z in Thailand. This analysis uses quantitative research and statistical assessment, including descriptive statistics, Exploratory Factor Analysis (EFA), and Linear Regression Analysis. The result of EFA indicates that the perception of customer experience is identified by 3 factors: namely 1) food quality, 2) convenience and reliability of service, and 3) price. Moreover, the linear regression analysis shows that food quality, convenience and reliability of service, and price are significant motivating factors of customer satisfaction. As a result, customer satisfaction has a positive effect on customer loyalty.

Tourism is one of the world’s fastest-growing industries. Its expansion has far-reaching consequences for the economy, culture, community, and environment. On the other hand, the industry has hurt the environment, harming coastal communities. The tourism industry has contributed to air pollution from CO2 emissions, sea and water pollution from sewage waste, the introduction of plastics, and ecological deterioration, all of which have contributed to a gradual shift in climate in coastal areas and around the world. If left uncontrolled, tourism’s detrimental influence on the environment might gradually lead to even more destruction, so it must be managed effectively to reduce the risk of future damage. The primary goal of this research is to determine how the environmental impact of tourism can be reduced in the coastal community of Bangsaen Beach, Thailand. This analysis uses quantitative research and MS Excel codes. It analyzes the data gathered to create meaningful information that can derive inferences, including descriptive statistics such as mean, average, and percentage. The study results showed that respondents’ perception is that tourists contribute to sea pollution, traffic congestion, and air pollution in the coastal region. Respondents mostly agreed that tourism operators, the private sector, and the local government are the lead beneficiaries of tourism.