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This article traces the transformation of hát bội, a form of traditional opera in Southern Vietnam, from its primary role as entertainment into a religious activity after the Reform (Đổi Mới) were enacted in 1986.

This research is based on ethnological fieldwork complemented by a review of historical documents and of the available literature on hát bội, cultural policies and on data collected from interviews with artists and spectators at the festival at the shrine to the Lady of the Realm.

Before 1986, hát bội was performed either as a stand-alone entertainment during the fair portion of community festivals or as part of religious ceremonies. The Reform and the accompanying relaxation of state control over religion and culture promoted the resurgence of popular religious fairs across the nation. New opportunities for hát bội to revive opened, artists left state-sponsored troupes to join private companies that catered to religious festivals. But almost exclusive involvement in religious rites has led to artistic stasis for private hát bội troupes.

This research constitutes novel insights of how the Reform in Vietnam affects the transformation of a traditional performance form.

The study aims to develop a multilayer high-effective ensemble of ensembles predictive model (stacking ensemble) using several hyperparameter optimized ensemble machine learning (ML) methods (bagging and boosting ensembles) trained with high-volume data points retrieved from Internet of Things (IoT) emission sensors, time-corresponding meteorology and traffic data.

For a start, the study experimented big data hypothesis theory by developing sample ensemble predictive models on different data sample sizes and compared their results. Second, it developed a standalone model and several bagging and boosting ensemble models and compared their results. Finally, it used the best performing bagging and boosting predictive models as input estimators to develop a novel multilayer high-effective stacking ensemble predictive model.

Results proved data size to be one of the main determinants to ensemble ML predictive power. Second, it proved that, as compared to using a single algorithm, the cumulative result from ensemble ML algorithms is usually always better in terms of predicted accuracy. Finally, it proved stacking ensemble to be a better model for predicting PM_2.5 concentration level than bagging and boosting ensemble models.

A limitation of this study is the trade-off between performance of this novel model and the computational time required to train it. Whether this gap can be closed remains an open research question. As a result, future research should attempt to close this gap. Also, future studies can integrate this novel model to a personal air quality messaging system to inform public of pollution levels and improve public access to air quality forecast.

The outcome of this study will aid the public to proactively identify highly polluted areas thus potentially reducing pollution-associated/ triggered COVID-19 (and other lung diseases) deaths/ complications/ transmission by encouraging avoidance behavior and support informed decision to lock down by government bodies when integrated into an air pollution monitoring system

This study fills a gap in literature by providing a justification for selecting appropriate ensemble ML algorithms for PM_2.5 concentration level predictive modeling. Second, it contributes to the big data hypothesis theory, which suggests that data size is one of the most important factors of ML predictive capability. Third, it supports the premise that when using ensemble ML algorithms, the cumulative output is usually always better in terms of predicted accuracy than using a single algorithm. Finally developing a novel multilayer high-performant hyperparameter optimized ensemble of ensembles predictive model that can accurately predict PM_2.5 concentration levels with improved model interpretability and enhanced generalizability, as well as the provision of a novel databank of historic pollution data from IoT emission sensors that can be purchased for research, consultancy and policymaking.

The purpose of this paper is to investigate factors affecting Vietnamese people’s sustainable tourism intention (IN) with extended the theory of planned behavior (TPB).

Preliminary quantitative research was carried out before large-scale formal quantitative research with a sample size of 628 Vietnamese people. Using the partial least squares structural equation modeling method with the SmartPLS tool, measurement and structural models 3.0 were evaluated before testing the research hypotheses about the influence of factors on the IN of sustainable tourism.

This study uses the extended TPB model with original constructs and two additional constructs, travel motivation (TM) and moral reflectiveness (MR), to find out the factors affecting the sustainable tourism IN of Vietnamese people. All hypotheses are accepted, except for the hypothesis about the relationship between TM and attitude toward sustainable tourism. MR has been shown to have a more positive and stronger (insignificant) effect than other factors of the proposed research model on sustainable tourism IN. Thereby, this study contributes both theoretically and practically to policymakers, researchers and tourism enterprises in promoting sustainable tourism IN.

The main limitation of this paper is the deliberate sampling method and targeting the demographic proportion corresponding to the population has lost the randomness of the survey sample.

The findings indicate that state management agencies and tourism enterprises in Vietnam need to pay attention to communication to raise awareness of environmentally oriented tourism and promote the ability to participate in sustainable tourism at a reasonable price as well as the opportunity for easy access and, at the same time, take measures to influence TM and have communication strategies that address the ethical value of participating in sustainable tourism.

To the best of the authors’ knowledge, this paper is the first empirical study to contribute to the existing literature on tourism by integrating TPB constructs with TM and MR to predict sustainable tourism IN.

The purpose of this exploratory study is to investigate the perceptions of key stakeholders in Vietnam on the impact on audit quality and independence after major reforms to audit.

Using new institutional sociology, this study seeks to explain how Vietnamese external auditors and accountants have responded to audit reforms and provides perceptions on how audit quality and independence may have been impacted. This study draws on semi-structured interviews conducted with 33 highly experienced participants, representing various stakeholder groups in Vietnam.

The findings indicate that after almost a decade since the full implementation of the Law of Independent Audit (2011) in Vietnam, the audit and assurance market in Vietnam is characterised by low quality audits, a lack of compliance with standards and auditor independence concerns, specifically amongst the smaller audit practitioners. Participants indicated that competition for new audit clients or retaining existing clients is a priority over improving audit quality and independence.

By examining a combination of different factors relating to audit quality and independence, the authors further demonstrate the impact of these factors in Vietnam, helping audit professionals and regulators to have a better and more meaningful understanding of that state of the audit profession. This study also considers audit concerns or issues arising because of the COVID-19 pandemic in Vietnam.

The purpose of this paper is to understand the institutionally driven changes impacting organizational accounting manipulation in Vietnam’s emerging transitional economy. Specifically, this study explore how Vietnamese accountants and regulators explain questionable accounting transactions and their rationalization for those practices, especially during the period of accounting system transition from Vietnamese accounting standards to International Financial Reporting Standards (IFRS).

The study uses interview-based methods involving 22 Vietnamese accountants, financial managers, audit partners and regulators.

This study have found dysfunctional approaches to revenue and expense recognition underpinned by institutional theory. At play is a combination of opportunities relating to weak accounting standards and organizational controls; management pressure; and a desire to avoid unwanted scrutiny from Vietnamese regulators.

This study does not include the views of non-financial managers or other accounting users. Future research could focus more on the perceptions of these other stakeholder groups.

Accounting manipulation can be collusive, therefore, regulators should have a stricter view and broader examination in the monitoring process.

This study examine accounting manipulation through the lens of New Institutional Sociology and also share the views of the accountants and regulators. This study argue that weak accounting standards are not the only factors contributing to accounting manipulation. When evaluating the existence of accounting manipulation, this paper find a combination of factors including: opportunities for manipulation, pressure from management and the rationale behind the conduct. These factors should be interpreted in context.

The purpose of this paper is to review both international and domestic (i.e. Vietnamese language) journal articles and graduate theses and dissertations on educational leadership in Vietnam. The review addresses two specific goals: first, to describe and critically assess the nature of the formal knowledge base on principal leadership in Vietnam, second, to synthesize findings from the existing literature on principal leadership in Vietnam.

The paper employed a method for conducting systematic reviews of research. The authors conducted a detailed, exhaustive search for international and “local” papers from Vietnam, yielding 120 research sources. Information from these papers was extracted and evaluated prior to analysis. Data analysis included both quantitative description of the “review database” as well as critical synthesis of substantive findings.

The review supports and extends an earlier review which found that the practice of educational leadership in Vietnam remains largely “invisible” to the international community of scholars. The review also yielded a highly critical assessment of research perspectives and methods used in the “local” Vietnamese studies which comprised the bulk of the authors’ database. Synthesis of substantive findings highlighted the manner by which organizational, political, and socio-cultural forces in the Vietnamese context shapes the practice of school leadership.

First, qualitative studies are recommended that seek to describe, in-depth, the enactment of leadership in the Vietnamese context. Second, broad-scale surveys of characteristics, attitudes, and beliefs of school leaders across Vietnam are warranted. Third, the authors encourage graduate students and scholars studying school leadership in Vietnam to undertake a new generation of theory-informed studies that connect with the global literature.

Due to the relatively weak nature of the existing knowledge base, the authors were unable to identify specific implications for leadership practice. However, practical implications are identified for developing the research capacity needed to improve research quality in Vietnam’s universities.

This review is the first systematic review of educational leadership and management conducted of the Vietnamese literature. Moreover, the authors suggest that the review is original in its comprehensive coverage of both the local and international literature on educational leadership in Vietnam.

This study aimed to utilize Epistemic Network Analysis (ENA) for a thorough evaluation of policy documents concerning the digital transformation in Vietnam's higher education sector.

Adopting a quantitative ethnography approach, this research employed ENA to analyse a curated collection of 21 documents that specifically addressed higher education (HE) and digital transformation within Vietnam. The study also incorporated qualitative content analysis, utilizing the constant comparison method as outlined by Onwuegbuzie et al. (2009), for data coding. ENA facilitated the examination of connections among various policy aspects.

The study revealed a consistent overarching theme in Vietnam's digital transformation policies during and post-pandemic, focusing on key areas such as ADMINISTRATION, VISION, QUALITY, and INFRASTRUCTURE. However, a temporal shift in emphasis was observed: during the pandemic, policies were more focused on ADMINISTRATION and INFRASTRUCTURE, while post-pandemic, there was an increased emphasis on COLLAB, VISION, and TEACH_LEARN.

This research represents one of the initial efforts to showcase the utility and significance of ENA in analysing policy documents. It underscores ENA's potential in elucidating the complex interplay of policy elements in the context of digital transformation in higher education, particularly within a developing country setting.

This study aims to investigate how job self-efficacy mediates the relationship between online knowledge sharing and employee innovation. To fully understand this relationship, this study also tests the moderating role of an innovative climate.

This study gathered data from 353 full-time employees working at information technology companies in Vietnam. This study used structural equation modeling to test hypotheses.

The results showed that online knowledge sharing positively influenced employee innovation directly and indirectly through job self-efficacy. Moreover, innovative climate positively affected employee innovation as well as moderated the nexus between online knowledge sharing and employee innovation.

First, this study provides further evidence that job self-efficacy plays a mediator linking online knowledge sharing with employee innovation. Second, this paper confirms that an innovative climate can play a mixed moderator that not only influences employee innovation but also moderates the association between online knowledge sharing and employee innovation.

This study aims to evaluate the impact of climate change on some specific areas of agricultural production in Quang Nam Province, including assessing the possibility of losing agricultural land owing to sea level rise; assessing the impact on rice productivity; and, assessing the impact on crop water demand.

This study used the method of collecting and processing statistics data; method of analysis, comparison and evaluation; method of geographic information system; method of using mathematical model; and method of professional solution, to assess the impacts of climate change.

Evaluation results in Quang Nam Province show that, by the end of the 21st century, winter–spring rice productivity may decrease by 33%, while summer–autumn rice productivity may decrease by 49%. Under representative concentration pathway (RCP) 4.5 scenario, water demand increases by 31.1% compared to the baseline period, of which the winter–spring crop increases by 28.4%, and the summer–autumn crop increased by 34.3%. Under RCP 8.5 scenario, water demand increases by 54.1% compared to the baseline period, of which the winter–spring crop increases by 46.7%, and the summer–autumn crop increased by 63.1%. The area of agricultural land likely to be inundated by sea level rise at 50 cm is 418.32 ha, and at 80 cm, it is 637.07 ha.

To propose adaptation solution to avoid the impacts of climate change on agriculture, it is necessary to consider about the impact on losing land for agriculture, the impact on rice productivity, assess the impact on crop water demand and other. The result of this assessment is useful for policymakers for forming the agriculture development plan.