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This study explores the dynamics of companies’ green knowledge sharing (GKS) within the tourism sector, focusing on its influence on green electronic word-of-mouth (eWOM) intention via the mediation of tourists’ green engagement behaviour. Additionally, the study considers the moderating effects of green destination psychological ownership and perceived injunctive norms of green self-expression online on the pathway from green knowledge sharing to tourists’ green engagement behaviour to green eWOM.

The primary dataset, consisting of 902 valid responses obtained through time-lagged surveys administered to environmentally conscious tourists, was analysed using structural equation modelling (SEM) by PROCESS package for R.

Findings indicate that green destination psychological ownership enhances the mediation effect of tourists’ green engagement behaviour on green eWOM intention, reinforcing the sense of personal investment and belonging among tourists. Conversely, perceived injunctive norms of green self-expression online moderate this pathway by shaping the social norms and acceptability of green behaviours online.

To effectively spread green knowledge, tourism businesses should focus on enhancing tourists' psychological ownership of green destinations and align their communications with the perceived norms of green expression online. This strategy not only deepens tourists' environmental commitment but also stimulates active participation in spreading sustainable practices.

This study contributes to the green marketing literature by revealing how intrinsic and extrinsic motivational factors interact to influence green engagement and eWOM intention in the tourism industry, aiding marketers in strategically fostering green value co-creation and enhancing sustainable practices through targeted green knowledge sharing.

This study aims to explore the relationship between digital transformation, transformational leadership style and artificial intelligence (AI) in accounting in the context of Vietnam as an emerging market. Additionally, it examines the role of transformational leadership style as a moderator in the nexus between digital transformation and AI in accounting.

Data was collected through e-survey questionnaires distributed to Vietnamese manufacturing firms following comprehensive screening to ensure representativeness of the entire population. A final sample of 510 responses was analyzed.

Using partial least squares structural equation modeling, our findings reveal that digital transformation and a transformational leadership style positively influence AI in accounting. Furthermore, transformational leadership style demonstrates a significant moderating effect on the relationship between digital transformation and AI in accounting.

This study discusses the benefits of incorporating AI in accounting for managerial decision-making. It underscores the critical importance of digital transformation in contemporary accounting practices, particularly with regards to AI in accounting. Consequently, managers are encouraged to embrace digital transformation, leveraging national policies, to enhance their firm's utilization of AI in accounting. Moreover, managers should focus on developing their transformational leadership style to maximize the aforementioned outcomes.

This study contributes to the literature on AI in accounting by highlighting the positive effects of digital transformation and a transformational leadership style. Additionally, our findings underscore the effectiveness of a transformational leadership style and its moderating influence. Finally, this study presents a pioneering empirical investigation that integrates transformational leadership style with AI in accounting within developing economies, specifically Vietnam.

Through a case study of the Po Klaong Girai temple in Vietnam, this paper explores how indigenous community perceive tourism benefit sharing (TBS) associated with their cultural tourism at sacred living-heritage sites and how this TBS enhances the equality and inclusion for indigenous community in the context of tourism in Vietnam.

This study employed ethnographic fieldwork and semi-structured interviews with 35 indigenous Cham priests directly associated with managing and preserving the Po Klaong Girai temple.

This research found that Cham community perceive inequality and exclusivity on tourism benefit sharing at this religious site. While Cham Ahier priests face economic barriers in providing these services to the community, annual tourism revenue is allocated to local government budgets. Such economic pressure forces the priests to seek alternative economic avenues to support their families at the expense of their traditional commitments to communal, cultural and religious activities, significantly impacting sustainable heritage conservation. This has led to strained relations between the local community and local authorities.

This research provides evidence to improve living heritage management practices by proposing tourism development policies for equality and inclusion among stakeholders, especially minorities and disadvantaged groups. This can be an experiential and necessary lesson for “dealing” with sustainable heritage management in heritage living sites in other ethnic minority areas in Vietnam and globally.

The findings from this study address the knowledge gap on equitable revenue sharing in heritage tourism, where financial benefits from the commodification of minority cultures should be used to support local communities and the custodians of indigenous heritage.

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.

The research aims to assess the relationship between ecological innovation, green productivity, sustainable development and agricultural productivity in Vietnam. The agricultural sector of Vietnam has been observed with new opportunities which have fostered its productivity and growth.

The study uses a range of methods where initially, the researcher used descriptive analysis, cointegration and unit root tests. Secondly, Quantile Autoregressive Distributed Lag (QARDL) is used to assess the short and long run effects. The QARDL methodology is employed to capture the relationship between variables. Through this approach, the researcher is able to examine the scale of the interaction between dependent and independent variables.

The unique findings drawn through statistical techniques are also a great addition to the context of literature related to Vietnam’s agricultural productivity. Practical insights can also not be denied as the study provides beneficial guidelines for Vietnam’s agricultural sector to refine agricultural productivity.

Scholars are advised to use strong literary techniques to overcome these limitations and give a more thorough investigation into the same ideas. The availability and dependability of data was one of the primary challenges in carrying out this study. Vietnam has made significant advances in the collection and documentation of agricultural data, but there might still be gaps in the availability of thorough and current data on ecological innovation, green production and sustainable development.

Vietnam’s unique socioeconomic, cultural and environmental features influence how ecological innovation, green productivity, sustainable development and agricultural production are interconnected. Consequently, consideration should be taken when applying the results to various scenarios.

This study aims to analyse the consumption inequality between farm and non-farm households in rural Vietnam, using the data from the 2016 Vietnam household living standards survey.

The present paper applies the “recentered influence functions (RIF)” in “Oaxaca-Blinder (OB)” type decomposition as proposed by Firpo et al. (2018) to allow for the flexible distribution of the outcome variables and the non-randomness of non-farm employment that violates the classical linearity assumption.

Non-farm households have significantly higher per capita consumption expenditure than farm households for the entire distribution. The gap in expenditure is large at low percentiles and narrowing with higher percentiles. At 10th percentile, the gap is estimated at 27.1%, but it is decreasing to 11.1% at 90th percentile. Most of the gaps are explained by the differences in the observed characteristics between farm and non-farm households such as ethnicity, education, income, internal transmittances and household composition. Non-farm households are endowed with more productive factors that result in higher per capita consumption expenditure.

Gaps in ethnicity and education are found to be key predictors of the inequality in consumption expenditures between farm and non-farm households, then, government policies that are aimed at increasing access to non-farm employment and education for ethnic minorities and for rural poor households are pathways to improve rural household welfare and hence reduce inequality.

Electronic word-of-mouth (e-WOM) has emerged as a pivotal factor in consumer decision-making, particularly within the tourism industry. This study aims to know the critical dimensions of e-WOM and examines their effects on tourist purchase intentions in India and Vietnam, seeking to determine whether these impacts vary significantly between the two markets.

Using a robust methodological framework, the research integrates factor analysis, structural equation modelling and t-tests to analyze the data collected from 248 Indian and 230 Vietnamese participants through self-administered questionnaires.

The analysis identifies three key dimensions of e-WOM – quality, volume and integrity and reveals that e-WOM exerts a significant and positive influence on tourist purchase intentions in both countries. Notably, the study uncovers distinct cross-cultural variations in this impact.

This investigation contributes to the existing literature by spotlighting the differential effects of e-WOM in the Indian and Vietnamese tourism sectors, thereby providing valuable insights for industry stakeholders aiming to capitalize on e-WOM in varied cultural contexts.

This study aims to identify the location of regional growth poles in Vietnam.

A potential gravity model is constructed to estimate how attractive a location is in relation to other locations within a specifically defined region using spatial interpolation tools.

We present the calculated and visualized potential gravitational energy (or attractiveness) for every province showcasing regional growth poles in Vietnam.

Graphical evidence need to be supported by statistical analysis to establish causal effects of driving factors on growth measures.

This is the first study to use a potential gravity model to study growth poles in Vietnam.

This chapter focuses on the potential of urban agriculture to support progress in SDG targets 2.1, 2.2, 2.3, and 2.4 in Ho Chi Minh City (HCMC), Vietnam. The chapter integrates findings from the British Council-funded project, ‘Urban Resilience from Agriculture through Highly Automated Vertical Farming in the UK and Vietnam’, undertaken in collaboration with Middlesex University, Van Lang University, and local agricultural stakeholders in HCMC. Food security in the city faces multiple challenges ranging from significant in-migration, decreasing area of cultivated land, the impact of the Covid-19 pandemic that continues to depress the economy and disrupt food supply chains, and climate change impacts affecting the environment and people throughout the city. HCMC accommodates a substantial agricultural sector, which is evolving from traditional to modern production practices. City’s leaders established numerous policies that emphasise green, circular economies, climate change resilience, and low carbon emissions fuelling demand for agricultural solutions that integrate traditional and modern technologies that can be embedded in the local topography, soil types, architectural space, and native culture. Findings from greenhouse trials, community awareness surveys, and stakeholder-led workshops point to a range of high-technology-supported agriculture models that, if applied flexibly throughout the varying context of the urban area, have good scope to help Ho Chi Minh City and meet its growing need for food as well as its sustainability aspirations.