Search results

This paper aims to examine adaptive livelihood strategies used by small-scale fishing households in the two coastal communities in Central Vietnam under the context of climate change-related stressors.

Field data were collected through mixed quantitative and qualitative methods including a review of secondary data, key-informant interviews, group discussions and household surveys with 300 sampled fishing households. The qualitative data support the analysis and discussion of quantitative data.

The results showed local households’ perception of the presence and influence of multiple non-climate and climate stressors on their fishery-based livelihoods in terms of employment and income in many ways. The affected households exerted to develop a diversity of adaptation methods within and out of fishing to sustain their livelihoods and cover a deficit in household income. The household socio-demographic characteristics particularly education, labour force, fishing equipment and social support played significant importance in characterising the categories of adaptation strategies among the survey households. The role of local governments in creating an enabling environment for local-level adaptation, as well as protecting marine and coastal ecosystems was rather limited despite their recognized importance.

The paper provides an empirical case of how small-scale fishing households in coastal communities in Central Vietnam are adapting to climate-related stressors. It suggests policy should promote livelihood diversification opportunities and address household-level constraints for adaptation. Fisheries management plan is urgently needed to control illegal fishing activities for sustainable use of coastal and marine fishery resources and the appropriate mechanism is important to stretch local governments’ resources for better supporting local-level adaptation.

Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.

A tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.

The results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.

The novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

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.

This paper aims to design a PD controller for an active suspension system to improve the car’s moving smoothness.

The controller parameters are optimized by an in-loop genetic algorithm (iL-GA). Unlike previous studies that only used conventional GAs to tune coefficients for the controller, the iL-GA designed in this paper provides outstanding efficiency when determining the optimal value range for the system. The optimal value range of parameters is determined by the in-loop algorithm based on criteria related to systematic errors. The optimal values are then calculated by the GA based on this range instead of an uncertain one.

Simulation results show that vehicle body acceleration and displacement values are significantly reduced when using the active suspension system compared to the conventional passive suspension system. The phase difference phenomenon does not occur in the iL-GA situation. In addition, the frequency domain investigation also shows the system’s stability when using iL-GA instead of conventional GA.

To the best of the authors’ knowledge, this is a new application that provides positive effects to the suspension controller. This algorithm can be applied to tune coefficients for direct controllers in the future.

This study aims to comprehensively investigate the process-structure-property correlation of acrylonitrile butadiene styrene (ABS) parts manufactured by the overheat material extrusion (Mex) method. This study considers the relationships between the tensile and impact strength with temperature profiles, mesostructures and fracture behaviors of the ABS-printed parts.

The overheat printing condition was generated by using the highest possible printing temperature of the Mex printer used in this study together with cooling fan turned off. Temperature profiles of the polymer rasters were measured to characterize the diffusion time of the deposited rasters. Thermogravimetric analysis, differential scanning calorimetry and melt flow index were performed to study the thermal properties of the ABS feedstock. The mesostructures of the printed ABS samples were characterized by using an optical microscope, while their fracture surface was investigated using a field emission scanning electron microscope. The authors performed the tensile and impact tests following ASTM D3039 and D256-10A, respectively.

The use of the overheat Mex printing could offer better raster diffusion with reduced cooling rate and prolonged diffusion time. Consequently, the overheat printed ABS parts possessed a porosity as low as 1.35% with an increase in the weld length formed between the adjacent rasters of up to 62.5%. More importantly, the overheat printed ABS parts exhibited an increase of up to 70%, 84% and 30% in tensile strain at break, tensile toughness and impact strength, respectively, compared to their normal printed counterparts.

This study provides a facile but effective approach to fabricate highly dense and strong polymeric parts printed by Mex method for end-use applications.

This study aims to adopt implicit theory (IPT) to develop a creative mindset model and drive entrepreneurial success through innovation capability (IC).

Expert interviews were conducted using a questionnaire protocol. This study investigated the effect of the creative mindset on entrepreneurial success through IC, using a partial least squares analytical technique and by interviewing 176 Thai business owners.

The creative mindset drove entrepreneurial success through IC. Entrepreneurs possessing a growth mindset reflected and drove success directly or through IC. Although, those with a strong, fixed mindset did not significantly affect entrepreneurial success, they could drive success through IC.

This study provides further insight into the probable causation of how the creative mindset and IC affect tourism entrepreneurs’ success. Accordingly, this study contributes a framework to help entrepreneurs’ creativity and performance in achieving their business goals.

Drawing from IPT, this study empirically tests and substantiates the mediating role of IC in the relationship between the creative mindset and entrepreneurial success in the tourism industry. This study can help entrepreneurs increase their managerial effectiveness.

This study explores how problem-based learning (PBL) programs can address Sustainable Development Goals (SDGs) via the higher education (HE) curriculum, teaching materials and relevant assessments, supporting learning at scale for HE institutions.

Employing SDGs and their indicators as the coding framework, our two-phase study evaluates the curriculum and teaching materials of seven PBL programs at a leading higher education institution (HEI). The first phase involved a content analysis to assess the degree of sustainability integration in 156 relevant courses. The second phase applied a semi-automated mapping protocol to analyze learning and teaching materials in 120 relevant courses.

The school aligns with 17 SDGs (100%), covering 94 indicators (55.62%). On average, each program within the school addresses over ten of these goals and incorporates more than 24 associated indicators. However, the study reveals an imbalance in the incorporation of SDGs, with some goals not yet deeply and comprehensively embedded in the curriculum. While there is a substantial focus on sustainability theories, the practical implications of SDGs in emerging countries, particularly through case studies and assessments, require significant enhancement.

Mapping SDGs allows HEIs to identify strengths and gaps in SDG integration, thereby improving the PBL approach to enhance student work readiness in sustainability-focused careers.

Through the lens of transformative learning theory, this study provides evidence of SDG integration into PBL curricula. It highlights a mapping methodology that enables HEIs to evaluate their sustainability readiness in curriculum, teaching materials and relevant assessments.

Corporate governance plays a critical role in solving agency problems. However, previous findings on how governance mechanisms lead to high firm performance are inconclusive. Additionally, this relationship has not been well addressed in the context of transitional countries where governance systems and mechanisms are weak, leaving a gap for research. Hence, this study aims to shed light on the effects of four key governance components, namely, ownership concentration, chief executive officer duality, board size and gender diversity, on firm performance.

This study reports on the econometric panel data analysis and fuzzy-set qualitative comparative analysis (fsQCA) of 1,424 firm-year observations from listed companies in Vietnam covering the period of 2010–2017.

The econometric panel data analysis confirmed the net effects of single solitary governance components. FsQCA revealed equifinal configurations of components that explain high firm market- and accounting-based performance.

These findings are relevant for firms in transitional and emerging markets, aiming to adopt the most suitable internal mechanisms to pursue their performance objectives and for regulators interested in enhancing the advantages of the capital market.

This study provides empirical evidence that firm performance can be improved when the appropriate corporate governance mechanisms are selected. As there are equifinal paths leading to the desired outcome of high performance, firms from different industrial and national contexts should mindfully apply any uniform corporate governance code.

By drawing on the institutional theory and contingency theory, this study aims to examine the effects of leadership and accounting capacity on the quality of financial reporting and accountability of public organisations in Vietnam. Furthermore, this paper is to determine the impact of financial reporting quality on accountability.

The research model and hypotheses have been tested by partial least squares structural equation modeling, with 177 survey samples obtained from accountants and managers working in the public sector in Vietnam.

The research results indicate that leadership and accounting capacity have a positive effect on financial reporting quality; leadership and accounting capacity positively influence accountability; and the quality of financial reporting has a positive impact on accountability.

The research results provide empirical evidence of the direct impact of leadership and accounting capacity on financial reporting quality and accountability of public organisations in a developing country. Moreover, the current work also provides important evidence for the impact of financial reporting quality on accountability.

Public sector organisations must realise that leadership and accounting capacity play a vital role in the accounting reform process. Public institutions likewise need to pay attention to develop accounting capacity and promote leadership. Moreover, the results respond to the continuing call for increased citizen trust in public organisations.

To the best of the authors’ knowledge, this study is the first to examine the chain from leadership, accounting capacity, financial reporting quality and accountability in the context of public sector organisations in an Asian transition market.

The purpose of this study is to investigate the impact of the gender diversity of top management teams (TMTs) on the financial performance (FP) of small and medium enterprises (SMEs) in Vietnam. This paper also examines the moderating effect of family control on this relationship.

Using a sample of SMEs in Vietnam, this paper uses descriptive statistics and balance panel regression with random effect to analyse 5,160 firm-year observations of family- and non-family-owned SMEs between 2011 and 2015.

The findings demonstrate that gender diversity in TMTs shows a negative relationship with the FP of family-controlled SMEs and no significant impact on FP of non-family SMEs. This study also illustrates a positive curvilinear relationship between the female manager rate in TMTs and firms’ FP in family SMEs.

This research study is limited to data from Vietnamese SMEs. Future studies could investigate these relationships with larger firms and in a broader geographical context.

This study provides a better understanding of the impact of TMT gender diversity on FP in Vietnamese SMEs while considering the moderating effect of family control. The findings support some theories relating to managerial gender diversity and the effect of family control on this diversity in family SMEs.