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Medical images are increasingly popular; therefore, the analysis of these images based on deep learning helps diagnose diseases become more and more essential and necessary. Recently, the shoulder implant X-ray image classification (SIXIC) dataset that includes X-ray images of implanted shoulder prostheses produced by four manufacturers was released. The implant's model detection helps to select the correct equipment and procedures in the upcoming surgery.

This study proposes a robust model named X-Net to improve the predictability for shoulder implants X-ray image classification in the SIXIC dataset. The X-Net model utilizes the Squeeze and Excitation (SE) block integrated into Residual Network (ResNet) module. The SE module aims to weigh each feature map extracted from ResNet, which aids in improving the performance. The feature extraction process of X-Net model is performed by both modules: ResNet and SE modules. The final feature is obtained by incorporating the extracted features from the above steps, which brings more important characteristics of X-ray images in the input dataset. Next, X-Net uses this fine-grained feature to classify the input images into four classes (Cofield, Depuy, Zimmer and Tornier) in the SIXIC dataset.

Experiments are conducted to show the proposed approach's effectiveness compared with other state-of-the-art methods for SIXIC. The experimental results indicate that the approach outperforms the various experimental methods in terms of several performance metrics. In addition, the proposed approach provides the new state of the art results in all performance metrics, such as accuracy, precision, recall, F1-score and area under the curve (AUC), for the experimental dataset.

The proposed method with high predictive performance can be used to assist in the treatment of injured shoulder joints.

This paper aims to examine the relationship between corporate ownership and firm performance, and the mechanisms through which ownership creates the firm value. Vietnam has been chosen as the research site because it is characterized by high ownership concentration, a high level of state ownership, strong incentives for foreign ownership and a weak external governance system.

We use data on the ownership structure of 527 listed firms in Vietnam during the 2010–2021 period. Corporate ownership includes concentrated, state and foreign ownership, while firm performance is measured by ROA and Tobin’s Q. In addition to Pooled OLS, system GMM and the propensity score matching are employed to mitigate the possibility of unreliable and biased results.

We find that firms with highly concentrated ownership tend to have better performance. Both state ownership and foreign ownership with their unique advantages contribute to enhancing firm performance. Further analyses delve into specific channels through how controlling shareholders, state and foreign owners facilitate firm value creation: the ease of access to capital, the lower cost of capital and the higher sales. Our results are robust to alternative proxies for ownership concentration and different methodological approaches.

Our study contributes to the ongoing debate about the ownership–performance relationship by providing novel insights into how corporate ownership influences firm performance.

This study explored students' perspectives on designing and implementing the new clinical interprofessional education (IPE) module for chronic disease management at the primary care level in the Vietnamese context.

Students from seven different university-level healthcare programmes participated in a cross-sectional survey Course Experience Questionnaire-based study. Additionally, two open-ended questions were presented to gather qualitative data, mapping student perspectives. Statistical analyses and thematic analyses were performed.

The results show that students agree with quality statements about IPE design features, such as good teaching, clear goals and standards, appropriate workload, appropriate assessment and a blended learning approach. Answers to the open-ended comments pointed out the strengths of the IPE module in providing opportunities for interprofessional learning, improving interprofessional collaboration competencies, real-life interprofessional collaboration practice and continuous feedback from tutors. Students also reported weaknesses in the IPE module, including a lack of feedback on the care plan and logistics of the IPE module.

Students positively recognise key design features of the IPE module, combining classroom activities with standardised patient simulations, clinical practice and home visits. Chronic disease management at the primary care level is a suitable context for training students to work interprofessionally. The strengths and weaknesses identified by students could help in the redesign and future implementation of the IPE module in the Vietnamese context. They could inspire practices in Southeast Asian medical education and beyond.

Adopting digital transformation is changing the methods through which companies' function, generating novel possibilities and difficulties that force firms to adjust to remain competitive in the digital era. It is critical for firms to embrace this change and utilize technology to develop a more flexible, proactive and effective approach as digital transformation continues to advance at an accelerating pace. Vietnam has been placed at the forefront of these changes in attracting investments and becoming a hub of international trade. As a result, Vietnamese firms have been implementing restructuring and adopting digital transformation to remain competitive with the flow of foreign investment. This paper aims to examine the effects of digital transformation on corporate restructuring in Vietnam. The authors then investigate the moderating role of corporate governance in the digital transformation – corporate restructuring nexus.

The authors employ content analysis to extract information from the annual reports of 747 Vietnamese listed companies, where the authors focus on specific phrases, such as “digitalization”, “big data”, “cloud computing”, “blockchain” and “information technology” over a period of 11 years, from 2011 to 2021. The frequency count of these keywords is calculated to represent the level of digital transformation for the Vietnamese listed firms. A final sample of 118 Vietnamese listed firms with sufficient data is selected for the analysis using the generalized method of moments (GMM) approach.

The results indicate that digital transformation and corporate governance negatively impact corporate restructuring when their effect on corporate restructuring is examined independently. However, corporate governance strengthens the effect of digital transformation on corporate restructuring.

This paper is one of the first to investigate the moderating role of corporate governance on the effect of digital transformation on corporate restructuring in Vietnam. The findings inspire listed firms in Vietnam to implement digital transformation during their corporate restructuring to enhance performance.

The purpose of this paper is to examine the degree of the exchange rate pass-through (ERPT) to the consumer price index (CPI) at both aggregated and disaggregated levels in Vietnam. Updated data of the nominal effective exchange rate (NEER) and bilateral exchange rate (BiER) have been utilized in this study for the comparison purposes.

Advanced time-series approaches such as a structural vector autoregressive framework, structural impulse response functions (SIRFs), and structural forecast-error variance decomposition (SFEVD) are utilized in this paper.

Empirical findings from this paper present an incomplete degree of the ERPT to the aggregated CPI. The ERPT based on the BiER is observed to have substantially larger magnitude than the NEER-based pass-through. For the disaggregated level, the degree of the ERPT varies considerably across sub-components of the CPI, with a higher magnitude of the ERPT elasticity being found from the BiER estimations. The index of housing and construction materials has the largest ERPT based on the BiER, followed by the food and foodstuffs (1.00 and 0.56, respectively). The macroeconomic and financial environments as well as an economic integration into the global market may be the main causes of a higher ERPT in Vietnam in comparison with other ASEAN countries.

The significant and incomplete pass-through of the exchange rate in Vietnam can affect firms’ and households’ budget planning, savings and profits. This finding generally implies that the cost of devaluation of the domestic currency affects the society as the whole in terms of welfare. The State Bank of Vietnam should carefully consider the overall effect of welfares when formulating and implementing strategies of currency devaluation. In addition, the Vietnamese economy becomes more sensitive to external vulnerabilities via changes of the exchange rate during an increasingly economic integration into the global market. In order to maintain inflation stability, it is vitally important to reduce the impact of exchange rate movements on the domestic prices, both aggregated and disaggregated levels, by pursuing either monetary policy credibility or inflation targeting.

Previous studies on the ERPT literature in the Asia region or for emerging countries focus mainly on the aggregated data of the CPI. Previous studies were conducted before the global financial crisis in 2008/2009. The current paper is the first of its kind to examine the pass-through from exchange rates to consumer prices in Vietnam using both aggregated and disaggregated data.

This paper presents concepts important for understanding urban poor housing in Vietnam, with a focus on key environmental, socio-economic, and cultural dimensions that bear on the housing sector. The paper draws on extensive field studies and presents a diagnosis of the context of and prospects for housing of the urban poor in Vietnam's two main cities: Hanoi and Ho Chi Minh City. While the literature on this theme is scanty, it points to the market-orientated economic reforms initiated in the 1980s as a key factor in creating imbalance in the housing supply. Recognising the current challenges in balancing affordability and sustainability, the study explores Vietnam's lack of adequate and affordable housing and the problems faced by the urban poor in accessing adequate housing.

The priority of this study is to contribute to the literature by examining herding behavior at different periods of the COVID-19 pandemic. Furthermore, this study aims to investigate the herding behavior conditioned on market liquidity and information demand.

This study investigates herding behavior in Vietnam's stock exchanges (Ha Noi Stock Exchange and Ho Chi Minh Stock Exchange) on a sample of daily stock closing prices of 425 firms from 2018 to the first half of 2022.

The research confirms the existence of herding behavior not only for the whole but also during and post-COVID periods. These results are robust in both bull and bear markets, further confirming the influence of COVID-19 on herding in Vietnamese background. Moreover, when the authors condition exogenous factors for each period, the herding tendency is more evident at the medium market liquidity level than at high and low levels. Besides, the pandemic causes herding behavior of investors with low and medium information demand.

These findings imply some recommendations that facilitate investors, policymakers and researchers in the context of the COVID-19 crisis.

The study contributes to the herding literature by examining herd behavior during the post-COVID period, suggesting the long-term impact of the health crisis. Furthermore, the research provides new evidence of herding behavior conditioned on market liquidity and information demand during different COVID sub-periods.

This paper aims to identify and assess global risks in the supply chain performance.

First, global risks are identified and classified according to three criteria: content, probability and context. A set of supply chain performance indicators are then defined by the theory of resource-based view and balanced scorecard. Structural equation modeling is adopted to access risks in the global supply chain.

This article contributes to the supply chain risk management literature by providing a detailed operationalization of global supply chain risk constructs, e.g. natural disasters, war and terrorism, fire accidents, economic and political instability, social and cultural grievances, decease. Empirical results reveal that the supply chain is predominantly regarded as being vulnerable as the proposed model of risks can explain up to 12.6% variance of supplier performance, 25.2% innovation and learning, 23% internal business, 40.6% customer service and 32.4% finance.

These risks are relevant contextual variables in strategic supply chain decisions. Supply chain managers should keep in mind acceptable cost/benefit tradeoffs in their firms' mitigation efforts associated with major contingency risks. This research advocates the allocation of scarce resources to adopt the supply chain strategies of avoidance, speculative and postponement.

The application of the strategic content/process/context to explain global supply chain performance is an interesting approach. Moreover, globalization trends and the COVID-19 perspectives are considered to be the main reasons for increasing such complex factors. Data on validating research models collected during the COVID-19 pandemic reflect the topicality of this study.

This study empirically tests the influence of key elements on intent to use electronic (E)-ticket through the “Stimulus–Organism–Response (SOR)” framework and structural equation model. Results highlight factors such as E-trust Technology, Ease of Use, E-satisfaction, Intention to Purchase E-ticket, Price Perception, and Usefulness; the study comprehensively analyzes the factors influencing the decision-making process of consumers when it comes to purchasing E-tickets. The research employs a hypothesis-driven approach and gathers survey results from 408 observants to find out the intention of consumers to use E-tickets for using transportation services, which help transportation providers understand the importance of its platform to benefit customers who are willing to change their perceptions from paper tickets to E-tickets, the reason customers buying E-ticket rather than paper ticket while using digitalization to help firms control their cost and building internal legitimacy by better managing their internal stakeholder.

Promoting dark tourism among Gen Z tourists is an important socio-economic strategy that offers significant economic and educational benefits to dark tourism site organizations and society at large. Upon the motivational approach, this research aims to examine the motivations that drive Gen Z’s intention to visit dark tourism places and the sources of those motives.

Drawn from classical motivational theories in psychology and consumer research, this study treats dark experience as outcome-focused motivation, engaging experience as process-focused motivation and emotional solidarity as self-concept motivation. Based on the expectancy-value model and optimal-arousal theory, the authors further investigate the roles of perceived destination image, social media marketing efforts and e-word of mouth (e-WOM) in influencing such motivations. The conceptual model was tested based on quantitative data from 545 Gen Z potential travellers.

The findings indicate that the motivations for both dark experiences and engaging experiences are influenced by EWOM and both cognitive and affective destination images. In addition, eWOM also demonstrates a strong influence on emotional solidarity. Meanwhile, marketing efforts of dark tourism sites through social media show no impact on the dark experience motivation and a weak effect on the motive of engaging experience and emotional solidarity. Although all three motivations, including dark experience, engaging experience and emotional solidarity, significantly and positively drive intention to visit dark tourism sites, the impact of engaging experience is the weakest.

This research provides a fresh perspective in explaining the intention to visit a destination in general and a dark tourism site in particular while providing insights into the impacts of various marketing stimuli on visiting intention – from the motivational approach.