In this research article, we aim to study the proposed role of human–machine interactive (HMI) technologies, including both artificial intelligence (AI) and virtual reality (VR)-enabled applications, for the post-COVID-19 revival of the already depleted tourism industry in Vietnam’s major tourist destination and business hub of Ho Chi Minh City. The researchers aim to gather practical knowledge regarding tourists’ intentions for such service enhancements, which may drive the sector to adopt a better conclusive growth pattern in post-COVID-19 times. In this study, we attempt to focus on travelers who look for paramount safety with the assurance of empathetic, personalized care in post-COVID-19 times. In the current study, the authors employ structural equation modeling to evaluate the intentions of tourists both structurally and empirically for destination tourism with data collected from tourists with previous exposure to various kinds of these devices. The study shows that human–machine interactive devices are integrating AI and VR and have a significant effect on overall service quality, leading to tourist satisfaction and loyalty. The use of such social interactive gadgets within tourism and mostly in hospitality services requires an organization to make a commitment to futuristic technologies, along with building value by enriching service quality expectations among fearful tourists. This research shows that tourists mainly focus on the use of such HMI devices from the perspective of technology acceptance factors, qualitative value-enhancing service and trustworthy information-sharing mechanisms. The concept of the tour bubble framework is also discussed in detail. The analysis of this discussion gives us a more profound understanding of the novel opportunities which various administrative agencies may benefit from to position these devices better in smart, sustainable destination tourism strategies for the future so that, collectively, service 5.0 with HMI devices can possibly bring back tourism from being disintegrated. Such service applications are the new social innovations leading to sustainable service and a sophisticated experience for all tourists.

Generative Artificial Intelligence (GAI) has brought revolutionary changes to the world, enabling businesses to create new experiences by combining virtual and physical worlds. As the use of GAI grows along with the Metaverse, it is explored by academics, researchers, and industry communities for its endless possibilities. From ChatGPT by OpenAI to Bard AI by Google, GAI is a leading technology in physical and virtual business platforms. This paper focuses on GAI’s economic and societal impact and the challenges it poses. Businesses must rethink their operations and strategies to create hybrid physical and virtual experiences using GAI. This study proposes a framework that can help business managers develop effective strategies to enhance their operations. It analyzes the initial applications of GAI in multiple sectors to promote the development of future customer solutions and explores how GAI can help businesses create new value propositions and experiences for their customers, and the possibilities of digital communication and information technology. A research agenda is proposed for developing GAI for business management to enhance organizational efficiency. The results highlight a healthy conversation on the potential of GAI in various business sectors to improve customer experience.

This research discusses the role of Web 4.0 and 5.0 devices on the commercial sustainability for tourism in Ho Chi Minh City (HCMC), Vietnam. The study adopts a tourist perspective regarding the future implementation of Web 4.0 and 5.0 devices, focusing on the service quality of various tourism-associated services and assessing, in return, the extent to which the overall satisfaction and long-term patronage of tourists is affected. Usually, researchers conduct this test in various popular establishments where devices are intended for experimental use and tourists are supposed to have previous exposure to them, so that their perceptual thinking regarding the service quality of these devices can be studied. The tourists act as respondents for various establishments. We also asked subjective questions in a short interview to 10 professionals working in these establishments, which helped us in the quantitative survey process. As a mixed method study, it has covered both quantitative and qualitative aspects of the items and provided a holistic result. The results indicated that Web 4.0 and 5.0, along with the service quality offered by personnel working in the establishments, showed significant variance in holistic service evaluation for tourist satisfaction and loyalty. Very few service quality factors had a distinct variance in the output. After using a regression analysis for Web 4.0 and 5.0 devices and service quality, we found that Web 4.0 and 5.0 showed insignificant negative results. This study contributes to the incremental research on Web 1.0 to 5.0, specifically detailing how it affects tourists’ satisfaction and patronage. Moreover, from a management point of view, this study can help solve the financial riddle of various establishments in HCMCs tourism ecosystem for optimum fund management and better productivity.

Digital stores are spreading their tentacles slowly in Vietnam, the most upcoming economy of the ASEAN region, so it is a relevant and contemporary study to know the perceptual thought and socioeconomic profiles of customers. Since there is a lack of independent study in this area, the relationships can be researched and presented. The context of digitization and consumerism is slowly growing in the Vietnamese market. So, this article studies the factors influencing online consumer perception and purchase orientation for digital stores operating in Vietnam through apps and websites. This study is a bi-phase study. In the first phase, constructs, such as digital store images, digital customer loyalty, satisfaction and digital socio-economic profiles of consumers, are examined. In the second part, the empirical analysis is carried by the authors. The study is done by SPSS 22, R studio, and R-cran software packages. Exploratory factor analysis, confirmatory factor analysis, very simple structure (VSS) criterion, and parallel analysis are used for the study. Customers have an almost balanced view of shifting to other stores and the image of the digital store, which makes the price have a substantial effect on the digital store image. The education and empathetic nature of employees also affect the way customers complain, and the way delivery is handled, which is Factor 1 for the model. Factor 2 is promotion, pricing, billing ease, or proper billing, which influence the purchasing power of the customer. So, the service provider or digital store has to be cautious of a specific socioeconomic variable. Digital store image is significantly about complaint handling methods, promotional aspects, and image-driven pricing. So the digital store has to be more careful about these factors. So, from the model, it can be concluded that digital consumers’ socioeconomic profiles, the price of the product, and the digital store’s image appear to have a significant relationship. A consumer pattern is having the education and the period of purchase, which explains the relationship better. The level of education and the period of purchase from a digital store also have significant differences among each other. Thus, the digital service provider should consider the level of education and the period of continuous purchase from a digital store as the criteria for evaluating digital customer loyalty. The price of the product seems to be significant as a variable too. The digital store image appears to be substantial for grievances, promotion, and image driven by price. So this considerable relationship has to be taken into consideration by the service provider while focusing on making decisions for customer loyalty.

Blockchain and immersive technology are the pioneers in bringing digitalization to tourism, and researchers worldwide are exploring many facets of these techniques. This paper analyzes the various aspects of blockchain technology and its potential use in tourism. We explore high-frequency keywords, perform network analysis of relevant publications to analyze patterns, and introduce machine learning techniques to facilitate systematic reviews. We focused on 94 publications from Web Science that dealt with blockchain implementation in tourism from 2017 to 2022. We used Vosviewer for network analysis and artificial intelligence models with the help of machine learning tools to predict the relevance of the work. Many reviewed articles mainly deal with blockchain in tourism and related terms such as smart tourism and crypto tourism. This study is the first attempt to use text analysis to improve the topic modeling of blockchain in tourism. It comprehensively analyzes the technology’s potential use in the hospitality, accommodation, and booking industry. In this context, the paper provides significant value to researchers by giving an insight into the trends and keyword patterns. Tourism still has many unexplored areas; journal articles should also feature special studies on this topic.