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This study aims to investigate what drives tourists to continue using ChatGPT for travel purposes. This study focuses on the impact of parasocial interaction on tourists’ intention to continue using ChatGPT. It also examines how satisfaction mediates this relationship and the role of technology anxiety as a moderating factor.

Using a sample of 606 tourists in popular Vietnamese tourist destinations, this study used the SPSS PROCESS macro (Model 4 and Model 14) to estimate the research model.

The study found that tourists’ satisfaction and parasocial interactions positively influenced their intention to continue using ChatGPT for travel purposes. The tourists’ satisfaction was found to play a partial role in mediating the relationship between parasocial interactions and their intention to continue using ChatGPT. Technology anxiety was found to be a negative moderator of the direct effect of satisfaction and the indirect impact of parasocial interaction on this intention.

This study stands out as a pioneering exploration into the novel intersection of parasocial interaction, satisfaction, and technology anxiety and their influence on tourists’ intention to persist with using ChatGPT for travel-related purposes.

Little is known about how religious beliefs can motivate consumers to behave more pro-environmentally. Drawn on an integrated model of the theory of planned behavior, the norm activation model and the self-determination theory, this study aims to explore the effects of religious beliefs (especially, karmic beliefs (KB) and beliefs in a just world (BJW)) on consumers' pro-environmental behavior.

A sample of 736 consumers recruited from the eight most populous cities in Vietnam using the mall-intercept survey approach and structural equation modeling (SEM) was utilized to test the hypothesized model and hypotheses.

The findings indicate that KB and BJW can increase consumers' green intrinsic motivation, which subsequently encourages them to engage in pro-environmental consumption. Moreover, awareness of consequences (AOC) and ascription of responsibility (AOR) serially indirectly inspire consumers' sustainable consumption through serial mediators, including personal norms (PN), attitudes toward green products and green purchase intention.

Based on the findings, some theoretical and managerial implications for pro-environmental consumption are provided.

The study offers fresh perspectives on the role of religious beliefs in pro-environmental research. Additionally, this study sheds new light on the marketing literature by integrating the theory of planned behavior (TPB) and norm activation model (NAM) with self-determination theory (SDT) to explore the underlying mechanisms and effects of psychological components on consumers' pro-environmental behaviors.

The emergence of artificial intelligence technologies, like ChatGPT, has taken the world by storm, particularly in the education sector. This study aims to adopt the unified theory of acceptance and use of technology to explore how effort expectancy (EEC) and performance expectancy (PEE) individually, jointly, congruently and incongruently affect higher education students’ intentions and actual uses of ChatGPT for their learning.

An advanced methodology – polynomial regression with response surface analysis – and a sample of 1,461 higher education students recruited in Vietnam through three-phase stratified random sampling approach were adopted to test developed hypotheses.

Both EEC and PEE were found to have a direct positive impact on the likelihood of higher education students’ intention to use ChatGPT, which in turn promotes them actually use this tool for learning purposes. Conversely, a large incongruence between EEC and PEE will lower the level of intentions and actual uses of ChatGPT for learning. However, when there is a growing incongruence between EEC and PEE, either in a positive or negative direction, the likelihood of students’ intentions to use ChatGPT for learning decreases.

Some practical implications are subsequently recommended to obtain advantages and address potential threats arising from the implementation of this novel technology in the education context.

This study shed the new light on the educational setting by testing how higher education students’ intentions to use ChatGPT and subsequent actual uses of ChatGPT are synthesized from the balance between high EEC and PEE.

Drawing on the Theory of Planned Behavior, this study aims to explore the role of individual digital competencies, encompassing information and data literacy, communication and collaboration, safety and security, and problem-solving, in shaping cognitive determinants and influencing digital entrepreneurial intentions as well as investigates the moderating effect of performance expectancy of AI solutions on the relationship between digital competencies, cognitive determinants, and digital entrepreneurial intention.

Using a sample of 1326 MBA students in Vietnam with a stratified sampling approach, the second-order PLS-SEM is used to test the formulated hypotheses rigorously.

The study reveals that individual digital competencies, sculpted by information and data literacy, communication and collaboration, safety and security, and problem-solving, significantly impact cognitive determinants (attitude towards digital entrepreneurship, subjective norms, and perceived behavioral control), influencing digital entrepreneurial intentions. Performance expectancy of AI solutions also plays a crucial moderating role, enhancing the relationship between digital competencies and digital entrepreneurial intention.

Some practical implications have been recommended for policymakers, educators, and entrepreneurs.

This research provides original empirical findings, validating the impact of a varied array of digital competencies on entrepreneurial mindsets/cognition and intentions. The introduction of performance expectancy of AI solutions as a moderator introduces a nuanced dimension to comprehending the interaction between technological skills and entrepreneurial intentions.

COVID-19 hits every country’s health-care system and economy. There is a trend toward using automation technology in response to the COVID-19 crisis not only in developed countries but also in those with lower levels of technology development. However, current studies mainly focus on the world level, and only a few ones report deployments at the country level. The purpose of this paper is to investigate the use of automation solutions in Vietnam with locally available materials mainly in the first wave from January to July 2020.

The authors collected COVID-related automation solutions during the first wave of COVID-19 in Vietnam from January to July 2020 through a search process. The analysis and insights of a panel consisting of various disciplines (i.e. academia, health care, government, entrepreneur and media) aim at providing a clear picture of how and to what extent these solutions have been deployed.

The authors found seven groups of solutions from low to high research and development (R&D) levels deployed across the country with various funding sources. Low R&D solutions were widely spread owing to simplicity and affordability. High R&D solutions were mainly deployed in big cities. Most of the solutions were deployed during the first phases when international supply chains were limited with a significant contribution of the media. Higher R&D solutions have opportunities to be deployed in the reopening phase. However, challenges can be listed as limited interdisciplinary research teams, market demand, the local supporting industry, end-user validation and social-ethical issues.

To the authors’ best knowledge, this is the first study analyzing the use of automation technology in response to COVID-19 in Vietnam and also in a country in Southeast Asia. Lessons learned from these current deployments are useful for future emerging infectious diseases. The reality of Vietnam’s automation solutions in response to COVID-19 might be a reference for other developing countries with similar social-economic circumstances and contributes to the global picture of how different countries adopt technology to combat COVID-19.

This study aims to examine the relationship between key audit matters (KAMs) and the restatement of financial statements, assessing their impact on the financial statement restatement process.

This study aims to examine the economic context of Vietnam by analyzing data from 170 listed enterprises on the Vietnam stock exchange from 2010–2021. Feasible generalized least squares and robustness regression are conducted to give results and conclusions.

The results show that the KAMs disclosure in the financial statements has not really significantly affected the quality of an audit, so the KAMs disclosure does not have too much impact on the restatement of financial statements. However, this study found that the number of disclosed KAMs would partly reflect the shortcoming that exists in companies' financial statements.

The authenticity of financial statements is crucial for companies to meet auditor requirements, particularly KAMs. Restatements can influence business decisions and provide more accurate financial information to stakeholders. Thus, studying the impact of KAMs on restatement is essential for improving the veracity and reliability of financial statements.

This study clarifies the important role of KAMs in financial statements to recommend investors to be more careful in considering KAMs disclosed by auditors in audit reports. In addition, this study helps to add an overview of KAMs in emerging markets like Vietnam, as well as helps stakeholders to improve the legal system on Accounting – Auditing in Vietnam.

This paper presents the outcomes of the international project “Protecting Landscape Heritage: a requalification project as an instrument for the re-birth of Quang Tri Old Citadel in Vietnam”, achieved with scientific cooperation between the Università Politecnica delle Marche (Italy) and Hue University of Sciences (Vietnam) funded by the Italian Ministry of Foreign Affairs and International Cooperation and Ministry of Science and Technology of Vietnam. The research focuses on the Quang Tri Citadel, founded in 1809 and now in an advanced state of degradation.

For the purpose of rehabilitation, the wide multidisciplinary project first examined the historical context of the military model, the architectural aspects of the structure, the characterization of the existing materials, the degradation levels of different parts, and, finally, a proposal of the suggested interventions.

The original structure and geometry were extrapolated and studied. Building materials were produced with nearby raw materials. Firing temperatures of bricks ranged from 800 to 1,000 °C, hydraulic lime was supposed the binder of the mortar with a calcination temperature lower than 1,000 °C. Damage assessment was provided and after these analyses a requalification project was proposed so the cultural heritage can play a role for the future in the dialog between different cultures.

The requalification project achieved by an integrated analytical approach defines aspects in relation to the restoration of the structures, enabling compliance with the geometry, techniques, building materials used in the original construction and allowing its guardianship and management to align with the historical context of the architectural heritage.

Unsustainable logging and illegal logging for domestic and international trade and trafficking continue to lead to deforestation. It is crucial that Sustainable Development Goal 15 ‘Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss’ is achieved to maintain the livelihoods of people and protect the planet. This is the case in Vietnam as well, where many people, including indigenous groups, rely on the forest for their survival. Drawing on semistructured interviews in Vietnam and a literature review, we investigate how the abuse of forest policies leads to human insecurity. From this, we propose solutions to (1) end unsustainable harvesting and illegal logging (SDG 15.7), (2) integrate the value of forests (culturally and economically) into national and local planning, the development process and poverty elimination strategies (SDG 15.9) and (3) improve the use of forest protection funding provided by international donors.