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This paper aims at identifying perceived factors and measuring opinions about the factors' impact on academic staff development (ASD) at Tay Nguyen University (TNU), Dak Lak, Vietnam.

The research used the exploratory factor analysis (EFA) method, the multiple regression model (ordinary least squares (OLS)) and a five-point Likert scale questionnaire. A sample of 70 managerial staff, 374 lecturers and 512 students of TNU was surveyed to obtain data.

The EFA showed that opinions concerning university autonomy (UA) and university social responsibility (USR) were positively correlated. With the above two factors united as responsible autonomy (RA), the OLS indicated perceptions that RA and internal driving factor (IF) had significant and positive impacts on the ASD, while external driving factor (EF) was found to have a perceived negative influence on ASD.

The results indicated that there appears to be a close relationship between UA and USR, and these can be considered as a factor that has apparent impacts on the ASD of the university.

The degree of UA and USR of TNU should be enhanced through awareness of the university's academic staff, the application of a suitable evaluation system and the efficiency of university's regulations. In addition, efforts should be made to improve internal factors such as the dissemination of educational philosophy, the suitability of strategic plans, the development of key performance indicators KPIs and the building of organizational culture – all of which will help to heighten the university’s ASD. At the same time, TNU should endeavor to quickly transform aspects of administration and management to meet the shifting requirements of the autonomous environment and competitive features of the market economy. In particular, there is a need for the academic staff themselves to have increased capacity to adapt to these changes.

The authors' results have a broader application to not only the case of TNU but to other situations in developing countries where universities are in transitional stages as governments assign increasing autonomy and responsibility to them.

This paper suggests that the academic staff of TNU should be provided with both professional autonomy and adaptive capacity to foster research and educational innovation in the market-based higher education system of Vietnam. More generally, if true, the paper suggests that an increase in the degree of UA and USR should be combined with the efforts to improve the internal environments such as disseminating educational philosophy, mission, vision and strategies and building organizational culture.

The purpose of this paper is to expand and analyze deeply customer emotions, concretize the levels of positive or negative emotions with the aim of using machine learning methods, and build a model to identify customer emotions.

The study proposed a customer emotion detection model and data mining method based on the collected dataset, including 80,593 online reviews on agoda.com and booking.com from 2009 to 2022.

By discerning specific emotions expressed in customers' comments, emotion detection, which refers to the process of identifying users' emotional states, assumes a crucial role in evaluating the brand value of a product. The research capitalizes on the vast and diverse data sources available on hotel booking websites, which, despite their richness, remain largely unexplored and unanalyzed. The outcomes of the model, pertaining to the detection and classification of customer emotions based on ratings and reviews into four distinct emotional states, offer a means to address the challenge of determining customer satisfaction regarding their actual service experiences. These findings hold substantial value for businesses operating in this domain, as the findings facilitate the evaluation and formulation of improvement strategies within their business models. The experimental study reveals that the proposed model attains an exact match ratio, precision, and recall rates of up to 81%, 90% and 90%, respectively.

The study has yet to mine real-time data. Prediction results may be influenced because the amount of data collected from the web is insufficient and preprocessing is not completely suppressed. Furthermore, the model in the study was not tested using all algorithms and multi-label classifiers. Future research should build databases to mine data in real-time and collect more data and enhance the current model.

The study's results suggest that the emotion detection models can be applied to the real world to quickly analyze customer feedback. The proposed models enable the identification of customers' emotions, the discovery of customer demand, the enhancement of service, and the general customer experience. The established models can be used by many service sectors to learn more about customer satisfaction with the offered goods and services from customer reviews.

The research paper helps businesses in the hospitality area analyze customer emotions in each specific aspect to ensure customer satisfaction. In addition, managers can come up with appropriate strategies to bring better products and services to society and people. Subsequently, fostering the growth of the hotel tourism sector within the nation, thereby facilitating sustainable economic development on a national scale.

This study developed a customer emotions detection model for detecting and classifying customer ratings and reviews as 4 specific emotions: happy, angry, depressed and hopeful based on online booking hotel websites agoda.com and booking.com that contains 80,593 reviews in Vietnamese. The research results help businesses check and evaluate the quality of their services, thereby offering appropriate improvement strategies to increase customers' satisfaction and demand more effectively.

In many countries, innovation in building design for improving energy performance, reducing CO2 emissions and minimizing life cycle cost has received much attention for sustainable development. This paper investigates the importance of optimization tools for enhancing the design performance in the early stages of Vietnam's cooling-dominated buildings in hot and humid climates using an integrated building design approach.

The methodology of this study exploits the non-dominated sorting genetic algorithm (NSGA-II) optimization algorithm coupled with building simulation to research a trade-off between the optimization of investment cost and energy consumption. Our approach focuses on the whole optimization problem of thermal envelope, glazing and energy systems from preliminary design phases. The methodology is then tested for a case study of a non-residential building located in Hanoi.

The results show a considerable improvement in design performance by our method compared to current building design. The optimal solutions present the trade-off between energy consumption and capital cost in the form of a Pareto front. This helps architects, engineers and investors make important decisions in the early design stages with a large view of impacts of all factors on energy performance and cost.

This is one of the original research to study integrated building design applying the simulation-based genetic optimization algorithm for cooling-dominated buildings in Vietnam. The case study in this article is for a non-residential building in the north of Vietnam but the methodology can also be applied to residential buildings and other regions.

Upgrading in global value chains (GVCs) has become a crucial strategy for enhancing competitive advantage and attaining higher profitability, especially among firms in developing countries. Drawn from the sociological approach, this study treats GVC upgrading as an entrepreneurial act and examines factors affecting firms' intention to move up in their chains based on the theory of planned behavior. The authors also further test the moderating effects of firms' knowledge about rule of origin and governmental supports on the intention-behavior gap.

In-depth interviews with eight Vietnamese business managers were implemented to support the development of hypotheses and measurement scales. Afterwards, the authors conducted a survey on decision-makers of 402 Vietnamese firms which currently have export-import activities to collect quantitative data for testing the hypothesized relationships.

The empirical results indicate that both attitudes, behavioral control and social norms have significant positive impacts on the intention to upgrade in GVCs. In turn, such intention could further activate actual behaviors to move up in their chains. However, those who have better knowledge about rule of origin and receive governmental supports either in terms of finance, credit or technology have a higher probability of demonstrating actual behavior to upgrade in GVCs once their intentions are formed than those who do not.

This research provides valuable implications for policymakers in accelerating firms' actions to upgrade within their chains, hence, actively enhancing not only organizational performance but also significantly contributes to the national economic development.

While most of the previous studies examine the preconditions for firms to participate and upgrade in their GVCs, there is limited attention on determinants of firms' own intention and actual behavior to upgrade in their chains once they have participated in the GVC. Specifically, this research not only contributes to the existing knowledge regarding factors affecting firms' intention to upgrade in their chains but also closes the gap between the intention and the actual GVC upgrading behavior.

Based on the resource-based view (RBV) and the signaling theory, this paper examines the effect of media reputation on financial performance as well as the moderating role of bank characteristics (risk management and financial capacities) in this relationship, using Vietnamese commercial bank data for the period 2007–2018.

We rely on the agenda-setting theory to measure the media reputation of banks. Return on average equity (ROE) is used as a proxy of financial performance. We regress financial performance on media reputation with fixed effects to control unobserved variables. In addition, the instrumental variable (IV) method is applied to deal with the endogeneity problem. We use the change in bank logo as an IV for media reputation.

We find that media reputation has a positive effect on financial performance. This effect becomes prominent for large banks, listed banks or banks that demonstrate good risk management capacities, and is particularly strong when we control for endogeneity bias. The effect of media reputation on financial performance is transmitted through the non-performing loan (NPL) channel.

The research findings further endorse the positive impact of media reputation on financial performance in the low-quality institutional settings. Moreover, these findings expand the existing knowledge regarding the relationship between media reputation and financial performance by affirming two strategies which could be used to leverage the contribution of media reputation including improving banks' risk management capacities and raising financial capital.

This is the first known paper to examine the effect of media reputation on financial performance in commercial banks in an underdeveloped institutional setting while exploring the moderators in this relationship. This study, therefore, provides insightful implications for different bank segments in managing NPL and taking advantage of media reputation as a potential resource of financial performance.

This study aims to integrate predictions from clinical psychology and UPPS impulsivity with the theory of planned behaviors (TPB) to draw a conceptual framework and test the prediction that attention deficit hyperactivity disorder (ADHD) symptoms, impulsivity would contribute to the prediction of the reasoned cognitive process of entrepreneurship over and above key predictors from an extended TPB model.

This study utilized a sample of 2,482 students from 14 universities/institutes in Vietnam; confirmatory factor analysis was employed to test the validity and reliability. Then, regression analysis with PROCESS macro approach (5,000 bootstrap sample and 95% confidence interval) was employed to estimate the association paths and multiple mediators.

The study reveals that ADHD symptoms and impulsivity substantially contribute to the exploration of an entrepreneurial intention throughout TPB predictors, with those higher in ADHD symptoms and impulsivity having higher intentions to engage in business venturing. Moreover, UPPS impulsiveness might valuably be incorporated with TPB predictors while predicting behaviors that are often examined as the process of rational cognitive strategies business venturing.

This study showed that a start-up business can be seen as a career choice for students who exhibit extensive ADHD symptoms to use their talents effectively, thus contributing to creating value for society and improving personal well-being.

This article stood to make contributions to entrepreneurship literature by investigating the effects of ADHD symptoms, four impulsivity traits on an entrepreneurial intention via three precursors in TPB, including attitude toward entrepreneurship, subjective norms and perceived behavioral control.

This chapter provides information on the development of Vietnamese education under the influence of global forces based on the analysis of relevant education research and policies using Wolhuter’s frameworks. In the process of coming up with ways to develop education in the face of different influences of globalization, besides having reactions with patterns commonly found in countries around the world, Vietnam also has responses that reflect its own political, sociocultural and economic characteristics. The state still plays a controlling role in education at all levels and many culture-related features that have existed throughout the country’s history have hardly changed, namely aspects related to teachers, learners and teaching and learning methods. To sustain its education in the globalized era, Vietnam must make more efforts in various aspects such as the link between education and employment, the logic of education objectives, the feasibility and appropriateness of curricula, quality of education, especially of higher education and equality in education for underprivileged groups.

The purpose of this study is to investigate the resistance in management accounting practices (MAPs) in a developing economy in the manufacturing and service sectors in Vietnam.

Data collection was carried out using survey questionnaires in Vietnamese language. The questionnaires were distributed to selected respondents from the manufacturing and service organisations in Vietnam. Textual structuralism was used to analyse different categories of data, i.e. survey questionnaires, photos and qualitative texts obtained from the literature.

The findings indicate that the usage of MAPs is more prevalent in the manufacturing sector than in the service sector. In addition, various traditional and contemporary MAPs are being used concurrently in Vietnam, which challenges the classical twofold dichotomy between mere socialism and mere neoliberalism.

The textual and photographic structuralism is used in this study to analyse primary data (geography and society and time) in a static setting. Hence, it does not analyse the research phenomena in a dynamic equilibrium setting to view the development of the research phenomena over time. Further research could expand data collection to include longitudinal and dynamic settings.

MAPs can be implemented in economic systems ranging from command to capitalist systems. Although most countries in the world follow a mixed economic system, specific MAPs could be designed for a transitional economic system such as that of Vietnam. This affects both theorists and practitioners in Vietnam applying sustainable MAPs to boost a country's competitiveness during transition.

This study expands understanding of the conformity of MAPs in relation to economic systems under the Communist Party of Vietnam (CPV) – the ruling party of the Socialist Republic of Vietnam. Understanding the differences in the way these MAPs are utilised constitutes an essential area of the accounting discipline to advance MAPs in Vietnamese enterprises and progress theoretical development of sustainable MAPs.

Unsustainable logging and illegal logging for domestic and international trade and trafficking continue to lead to deforestation. It is crucial that Sustainable Development Goal 15 ‘Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss’ is achieved to maintain the livelihoods of people and protect the planet. This is the case in Vietnam as well, where many people, including indigenous groups, rely on the forest for their survival. Drawing on semistructured interviews in Vietnam and a literature review, we investigate how the abuse of forest policies leads to human insecurity. From this, we propose solutions to (1) end unsustainable harvesting and illegal logging (SDG 15.7), (2) integrate the value of forests (culturally and economically) into national and local planning, the development process and poverty elimination strategies (SDG 15.9) and (3) improve the use of forest protection funding provided by international donors.

Most digital libraries (DL) are now available online. They also provide the Z39.50 standard protocol which allows computer-based systems to effectively retrieve information stored in the DLs. The major difficulty lies in inconsistency between database schemas of multiple DLs. The purpose of this paper is to present a system known as Argumentation-based Digital Library Search (ADLSearch), which facilitates information retrieval across multiple DLs.

The proposed approach is based on argumentation theory for schema matching reconciliation from multiple schema matching algorithms. In addition, a distributed architecture is proposed for the ADLSearch system for information retrieval from multiple DLs.

Initial performance results are promising. First, schema matching can improve the retrieval performance on DLs, as compared to the baseline technique. Subsequently, argumentation-based retrieval can yield better matching accuracy and retrieval efficiency than individual schema matching algorithms.

The work discussed in this paper has been implemented as a prototype supporting scholarly retrieval from about 800 DLs over the world. However, due to complexity of argumentation algorithm, the process of adding new DLs to the system cannot be performed in a real-time manner.

In this paper, an argumentation-based approach is proposed for reconciling the conflicts from multiple schema matching algorithms in the context of information retrieval from multiple DL. Moreover, the proposed approach can also be applied for similar applications which require automatic mapping from multiple database schemas.