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The consumption of rice that contains high levels of inorganic arsenic may cause human health risk. This study aims to determine As species concentrations, particularly iAs, in raw rice in Ho Chi Minh (HCM) City and its health risks.

A total of 60 polished raw composite samples of rice were purchased from traditional markets and supermarkets in HCM City. All samples were analyzed by HPLC-ICPMS for As species determination.

Mean concentrations of inorganic arsenic in all samples, which were purchased from supermarket and traditional market, were 88.8 µg/kg and 80.6 µg/kg, respectively. Overall, inorganic arsenic level was 84.7 µg/kg and contributed the highest proportion of arsenic species in rice with 67.7%. The proportion profiles for arsenic species were: As (III) (60 %); dimethylarsinic acid (32.2 %); As (V) (7.7 %) and methylarsonic acid (0.1 %). Inorganic arsenic level in raw rice was below the recommendation of World Health Organization. Using the benchmark dose recommended by the Joint FAO/WHO Expert Committee on Food Additives (JECFA), all exposure doses were lower than BMDL05. However, as the doses ranged from 3.0 to 8.6 of Margin of Exposure (MOE), the health risk of iAs from rice consumption remains public health concern.

The study results report on the surveillance data of the presence of inorganic arsenic in raw rice products, which are available in the supermarkets and traditional markets, and its health risk to consumers in a metropolitan city in Vietnam.

Customer reviews on online platforms after their service experience not only provide useful information to help other customers make reasonable decisions about the hotel, but also provide a great opportunity for scholars to refresh the research directions on customer experience and satisfaction in tourism services. This paper aims to discover the key driver of international tourist satisfaction in the hospitality service and the way to effectively improve this factor, starting with the abundant online customer reviews.

A multi-perspective approach was used to compare the differences in service providers and service user’s interpretation of the factors that shape customer satisfaction. In addition to content analysis of nearly 2,500 online reviews of international tourists for 21 high-class hotels in Vietnam on Booking.com in 2019, the authors conducted in-depth interviews with the managers of 5-star hotels to show a comprehensive picture of customer satisfaction drivers, especially the staff factor.

The research results have clarified the main aspects of the staff – the most important service factor among the seven hotel service factors investigated from the customer’s perspective. On the other hand, the study also emphasized the gap between customers’ perception of the staff and the enterprise’s efforts and implementation of this factor. These findings allowed to identify aspects of staff that could be further improved to more effectively satisfy customers and provide a superior experience.

The study suggested a potential research direction using a multi-perspective approach to better understand trends and shifts in customer experience and satisfaction. Further studies could overcome the limitation of the research scope of this paper by examining different destinations or expanding the exploration of both mid-range and budget hotels.

The findings offer implications for managers to improve tourist satisfaction by developing organizational culture and mindfulness-related training programs for employees.

This study has enriched the literature of tourism and hospitality services by providing empirical evidence on the exploitation of big data sources and deepening the insights into international tourist satisfaction with hotel services.

Recently, traditional financial institutions are facing strong competition from disruptive innovators (Fintech firms) forcing them to increasingly invest in new IT solutions to maintain their competitive edge. However, there are still advantages that traditional financial institutions enjoy, of which the primary one may be reputation. Surprisingly, the firm reputation link to use intention has not received much attention in the literature, prompting this research. The purpose of this study is to examine the firm reputation link to use intention in the context of mobile banking.

The results are based on a survey of 783 participants in Vietnam.

The study confirmed that reputation plays an important role in promoting use intention for mobile banking. Additionally, perceived risk and trust are also linked to perceived usefulness (PU) and perceived ease-of-use (PEOU).

This study is among the first to link perceived risk and trust to PU and PEOU in a mobile banking context. Based on the Theory of Reasoned Action, the study adds to the literature by connecting two separated research themes: technology adoption and reputation. It also suggests avenues for both traditional banks and Fintech firms to set their business strategies to enhance their reputation or collaborate for mutual benefits.

The purpose of this paper is to trace the way in which a popular ritual became one of Vietnam’s most important festivals, elevated as a celebration of national heroism and charts its gradual transformation in modern society.

This research focuses on the combination of a fertility rite and narratives of St Gióng based on nationalism or heroism created a special festival reflecting many traditional cultural characteristics of Vietnam and the Việt people and the transformation of St Gióng from a mythological to a national symbol of heroism in anti-invader history was recorded in texts.

The paper casts light on the mythologization and historicization of St Gióng in Vietnam’s particular historical context by decoding the Gióng symbol as a core element of the folktales and myths about St Gióng to understand the formation and development of St Gióng in the cultural history of Vietnam.

The paper is not exploring the Gióng symbol within a larger cultural context of nationalism and ethnosymbolic approach in a comparison of national symbolism and heroism.

The paper includes implications for advised scholars to conduct further exploration of the symbol and myth of not only St Gióng in Vietnam but also Kubera in India and Vaisravana in China to connect Kubera, Vaisravana and St Gióng under the connection of literal myth and heroic symbol.

The paper shows how processes of historicizing myth and mythologizing history are important features of Vietnamese socio-historical research.

The paper shows how a fertility rite became a historical festival and the figure of St Gióng became a symbol of patriotic heroism.

The purpose of this paper is to examine the impact of trade and investment liberalization on the wage skill premium between skilled and unskilled workers in Vietnam.

An analysis is undertaken by means of descriptive statistics and econometric investigation using a firm-level data set from the Enterprise Survey of Vietnam.

It is shown that there has been a positive wage differential between foreign-invested enterprises (FIEs) and domestic enterprises over the period 2000-2009. More importantly, the FIE-domestic wage differentials are found to be significantly positive after accounting for differences in capital intensity, size, firm location, and industry features. Furthermore, statistical evidence shows that these wage differentials narrowed over the period 2006-2009.

One of the first study examines the FIE-domestic wage differentials given the outward-oriented economic reforms since 2000 in Vietnam.

The purpose of this study is to explore how emotions felt by the public during a crisis influenced consumer loyalty intention and negative word-of-mouth (WOM). Considering the context-specific nature of emotions, the existing crisis emotions were further validated in a product consumption situation. Drawing on the theories of attribution and social sharing, a conceptual model, positing that crisis-specific emotions [attribution-independent, external-attribution-dependent (EAD) and internal-attribution-dependent (IAD) emotions] influenced negative WOM through behavioural intention, was constructed and empirically tested.

Data was collected from 240 Vietnamese consumers by using a scenario-based survey related to a fictional milk crisis.

The study findings showed that all but one crisis emotion had negative effects on both WOM and loyalty intention. Of these emotions, EAD and IAD were the strongest predictors of negative WOM and behavioural intention, respectively. It was also found that all crisis emotions significantly affected negative WOM through behavioural intention.

Although some efforts have been made to identify crisis emotions, the validity of the existing scales have not been affirmed in other crises related to product consumption situations. The results of the present study, thus, made contributions by enhancing an understanding of crisis emotions and their impacts on consumer loyalty intention and WOM communications.

This study seeks to understand the connection of methodology by finding relevant papers and their full review using the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA).

Concrete-filled steel tubular (CFST) columns have gained popularity in construction in recent decades as they offer the benefit of constituent materials and cost-effectiveness. Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Gene Expression Programming (GEP) and Decision Trees (DTs) are some of the approaches that have been widely used in recent decades in structural engineering to construct predictive models, resulting in effective and accurate decision making. Despite the fact that there are numerous research studies on the various parameters that influence the axial compression capacity (ACC) of CFST columns, there is no systematic review of these Machine Learning methods.

The implications of a variety of structural characteristics on machine learning performance parameters are addressed and reviewed. The comparison analysis of current design codes and machine learning tools to predict the performance of CFST columns is summarized. The discussion results indicate that machine learning tools better understand complex datasets and intricate testing designs.

This study examines machine learning techniques for forecasting the axial bearing capacity of concrete-filled steel tubular (CFST) columns. This paper also highlights the drawbacks of utilizing existing techniques to build CFST columns, and the benefits of Machine Learning approaches over them. This article attempts to introduce beginners and experienced professionals to various research trajectories.

The paper aims to examine how the change in political ideology and institutions affects corporate governance (CG) of the state-owned enterprise (SOE) in Vietnam, as well as its consequences.

To link macro-level institutional change to micro level of the reform process of the Vietnamese SOE governance, we draw from the “Varieties of Capitalism” (VoC) framework adopt a triangulation approach for data collection.

The paper shows the CG of SOEs is a variant of capitalist CG. Changes in the function, state control and structure of governance in the Vietnamese SOEs have been shaped by the political ideology and institution. It also shows that the political and bureaucratic interferences of the state in SOEs are for political interests rather than for firms’ effectiveness.

The political ideology has existed in major aspects of the governance structure of the SOEs as a part of the party’s effort to maintain its economic legitimacy and a government of “control and domination”.

The findings of this study can be seen as a reference for the Vietnamese Government and governments of other developing countries in making incremental improvements in existing institutions rather than choosing the “best” model of CG.

The paper contributes to the literature by applying the VoC framework to analyse the change in SOE governance in a transition country while preserving the communist ideology. It can deepen our understanding of the SOE governance in Vietnam and enrich comparative studies of CG in the transition countries.

The purpose of this paper is to examine the relationship between implementation of quality management systems (QMS) and business performance, through mediating factors (operating performance, information quality, product quality, design performance, environmental performance and competitive priorities). Most of the published literature examines the direct impact of implementation of QMS on business performance, and on some of the above stated factors. However, the impact of implementation of QMS on business performance, through these mediating factors has not received much attention. Accordingly, the authors develop a theoretical framework depicting impact of implementation of QMS on business performance through the above stated factors.

The paper proposes several hypotheses linking implementation of QMS, mediating factors and business performance. The hypothesized model is empirically tested using data collected from 120 professionals working in quality engineering/management in India and North America. The collected data are analyzed with the aid of structural equation modeling (SEM) technique.

Information quality and design performance have emerged as the important factors in the research. Information quality directly effects design performance, operating performance and environmental performance. The model indicates that besides a well-designed product, managers need to focus on the operating performance to improve overall product quality. Empirical evidence is found regarding direct and indirect effect of implementation of QMS on above stated mediating factors and on business performance.

The research fills a gap in the literature by considering several mediating factors that aid in improving business performance with implementation of QMS.

This study aims to present an integrated framework and investigate the enabling roles of governance mechanisms (i.e. contract, interdependence, trust and communication) in the choice of effective conflict resolution strategies (CRS) that in turn facilitate buyer–supplier relationship (BSR) performance.

Using Web-survey, data are collected from 170 Finnish small- and medium-sized enterprises that have key relationships with suppliers. This study uses structural equation modeling to test the research framework and hypotheses of the study.

The results based on empirical evidence demonstrate how the firms’ choice of CRS depends on the governance mechanisms. The problem solving approach is the most preferable choice, while the legalistic approach remains the last resort influenced by different governance mechanisms. Interdependence and trust between firms drive them to compromise while resolving inter-organizational conflicts. The selected strategies by firms may also either reinforce or deteriorate relationship performance.

Supply chain managers should recognize the context in which these choices of CRS are made, as it guides them to anticipate their partner’s behavior as well as influences their strategy choice decisions when coping with conflicts. A trustworthy environment supports in providing a certain level of confidence while interdependency drives firms to compromise. The legalistic strategy can hurt the partner’s feelings and diminish relationship performance.

Conflicts in BSR have become inevitable, but the existing literature is missing evidence on how companies use CRS to enhance relationship performance. Hence, this study differs from those of earlier conflict studies, as it provides a more integrative perspective of buyer–supplier conflict resolution process. This study argues that relationship governance mechanisms can be connected to the choice of effective CRS when tensions arise. Moreover, by assessing the relationship between CRS and relationship performance, this study offers valuable insights to understand that effective strategies enable partners to mutually adapt constructive approaches that facilitate cooperative behavior and accommodate both parties’ interests and needs.