Livestock sector including pig is developing in Vietnam, which plays a crucial role in the economic structure of Vietnam and meets the demand of Vietnamese. The study was involved 120 pig farmers, 3 retailers, 3 wholesalers, 12 middlemen, 3 slaughterhouses, 12 sellers, 3 processors, and 12 consumers in three districts who were chosen as respondents in the value chain. The study was implemented to determine the value chain and benefit distribution of pig industry in Tra Vinh province. Snowball sampling and purposive method were used in this study. The results show that there were three channels of pig in Tra Vinh province during the context of African Swine Fever (ASF). There were three value chains which were found out in the value chain of pig industry. Middlemen played an important role in the value chain. Both of three passed through slaughterhouse as their slaughtering service. The shortest value chain is from farmer – middlemen-cum-seller – consumer. Farmers contributed a high value-added share in the value chain. It could be concluded that in Tra Vinh province, the longer value chain, the higher price the consumer takes. We suggested that the improvement of the number of pig and stabilization of the value chain of pig industry are the current mission and the strategy to be implemented.

The objective of this paper is to assess the impact of supply chain quality integration on green supply chain management, environment performance and financial performance. The data was analyzed on 568 Vietnamese tourism businesses. Results were analyzed using SPSS 22 and Smart PLS 3.6 software. The results show that supply chain quality integration had a positive impact on green supply chain management and financial performance. Green supply chain management also had a positive impact on environment performance and financial performance. Green supply chain management also played a full mediating role in the relationship between supply chain quality integration and financial performance. However, neither size nor institutional pressure played any moderating role in the relationship between green supply chain management and financial performance and environment performance.

The objective of this paper is to assess the impact of transactional leadership on supply chain quality management and performance in tourism and travel enterprises in Vietnam. The analysis results were conducted on 298 typical tourism and travel enterprises in Vietnam in 2019. The testing results of the hypotheses show that transactional leadership had a positive impact on supply chain quality management and performance. At the same time, supply chain quality management did not play any full mediate role in the relationship between transactional leadership and performance. However, the qualification level had a statistically significant moderate role in the relationship between transactional leadership and performance. With the more highly qualified leaders, the more transactional leadership is applied, the higher the business performance for tourism and travel enterprises in Vietnam.

This article aims to analyze the different impacts that some factors may exert on the probability that an industrial zone-located firm adapts. Recently, industry policy in developing countries tends to spur both SMEs and the industrial zone in terms of adaptation, considering them as the main driver of innovation and growth. However, not all industrial zone-located firms adapt. Departing from an extensive sample of the Vietnam Technology and Competitiveness Survey in combination with the Vietnam Enterprise Survey in 2011-2013, we try to determine those factors that cause firms to become industrial zone-located adaptation SMEs (IA-SMEs, firms fewer than 250 employees, being located in the industrial zone and adapting existing technologies). The analysis results highlight the importance of direct linkages, technology transfer between FDI firms and industrial zone-located adaptation SMEs, economic obstacles, and the interactions between them that cause industrial zone-located adaptation SMEs to adapt in the supply chain (obtained through direct transfer of technology between linked firms).

Green supplier selection is an important group decision making problem that includes not only economic criteria, but also environment and society criteria incorporating vagueness and imprecision. This paper proposes a new integrated quality function deployment (QFD) and technique for order preference by similarity to ideal solution (TOPSIS) using generalized fuzzy numbers. The proposed approach initially identifies the features that the purchased product should possess in order to satisfy the company’s needs (“WHATs”), and then it seeks to establish the relevant supplier assessment criteria (“HOWs”). Then, the importance of the ‘‘WHATs’’, ‘‘HOWs’’, ‘‘HOWs’’-‘‘WHATs’’ correlation scores, and the impact of each potential green suppliers are determined based on generalized fuzzy numbers. The study applies the TOPSIS approach to rank the green suppliers. A numerical example is used to illustrate the advantages and applicability of the proposed approach.

This article aims to analyze factors affecting the probability that a firm choose to diversify its investment in R& D. Recently, industry policy in developing countries tends to spur SMEs in terms of Research & Development (R& D), considering them as a main driver of innovation and growth. Departing from an extensive sample of the Vietnam Technology and Competitiveness Survey in combination with the Vietnam Enterprise Survey in 2011-2013, we try to determine: (1) those factors that cause young firms to invest in in-house R& D or in outsourced R&D or both (in-house R& D and in outsourced R& D), and (2) what is the difference in the impact of those factors when taking supply-chain foreign direct investment (FDI) linkage, and technology transfer into account. The analysis results highlight the importance of direct linkages, technology transfer between FDI firms and young SMEs, economic obstacles, and the interactions between them that cause SMEs to conduct R& D strategies in the supply chain (obtained through direct transfer of technology between linked firms). Concerning policies must be aware that incentives along supply-chain may better reach the R& D outcomes for SMEs. Important equally, policy-makers must consider a broader range of economic and financial constraint that may influence R& D behavior, apart from export orientation, competitiveness, and market power.

The study investigates the impact of supply chain management on the corporate financial performance of the coffee industry in Vietnam. Particularly, supply chain management is measured in three dimensions, namely relationship with suppliers, relationship with intermediaries and distributors, and relationship with customers. Data are collected by conducting a survey among 248 coffee company representatives of supply chain participants in Vietnam. The multiple regression analysis is adopted in the model estimation. The findings reveal that financial performance (FP) was positively influenced by relationship with intermediaries and distributors (RID), relationship with customers (RC), and relationship with suppliers (RS). In specific, the relationship with intermediaries and distributors (RID) is the most significant driver of financial performance (FP). The study greatly succeeds in providing an unprecedented finding which is the considerable effect of the participants representing supply chain management on financial performance. The findings are essential to the management of supply chain members in the coffee sector. Accordingly, to boost the financial performance, the companies should pay more attention on improving supply chain management efficiency. Supply chain management can be achieved not only by improving processes internally but also by working with suppliers, customers and most notably partners like intermediaries and distributors.

The evolution of technology and the widespread adoption of smart mobile devices like smartphones and tablets have significantly altered tourists' behavior using tourism services. Based on The Unified Theory of Acceptance and Use of Technology, this research aims to investigate the factors affecting Gen-Y's inclination to use tourism apps in Vietnam. The model was tested using structural equation modeling (SEM) in quantitative methodology with 337 users from Vietnam. The result showed that five factors positively impact the intention behavior of using mobile tourism applications: performance expectancy, effort expectancy, social influence, trust, and perceived security. Moreover, the findings propose practical implications and provide valuable insights for tourism app developers, marketers and operators in developing more effective tourism apps.

The COVID-19 pandemic has led to different health outcomes, including long COVID (LCo) and mental health (MH) disorders, impacting millions globally. To enable early healthcare diagnosis, including the prediction of MH conditions and LCo, various research studies have utilized machine learning (ML) techniques. However, there is still a gap in understanding the mental health of recovered COVID-19 patients with long COVID using ML techniques. This study aims to bridge this gap by developing and evaluating ML models, including support vector machine, multilayer perceptron (MLP), k-nearest neighbor, gradient boosting, voting classifier, and extreme gradient boosting, tailored for mental health and long COVID datasets from recovered COVID-19 patients. Additionally, feature selection methods, e.g., Recursive Feature Elimination (RFE) and Extra Trees (ET), and optimized models with hyper-parameter tuning will be employed. Our experiments utilize the dataset of recovered COVID-19 patients. Among these ML models, the MLP with ET-based features achieved the highest accuracy and AUC scores in this dataset, with 1.00 and 0.97 ± 0.02, respectively. The research reveals the high prevalence and risk factors of mental health disorders and long COVID from the dataset. These findings will contribute to personalized healthcare strategies for individuals navigating the complexities of post-COVID-19 recovery, integrating machine learning insights into mental health and long COVID support.

The ownership - efficiency relationship in a firm has always been an important topic. In this paper, we focus on the state owned versus non-state-owned status of Vietnamese manufacturing firms, to shed light into the relationship between these two variables when using a more state-of-the-art method as a stochastic meta-frontier method. Applying the method for two periods: one during the global economic crisis and the other after the end of the crisis, the study determines that in both periods, there was a strong evidence that non-state-owned firms performed much better than state owned counterpart. We also found that the difference became even larger during the harsh time and sub-industries with non-state-owned firms could outperform the state-owned firms, significantly.