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Vietnam is firmly committed to attaining the Sustainable Development Goals articulated in the United Nations 2030 Sustainable Development Agenda. Goal 4 concerns quality education, and target 4.3 refers to ensuring access by all men and women to quality and affordable technical, vocational and tertiary education, including university education. In 2017, the Prime Minister issued a directive that included five actions to be taken by Vietnam’s Ministry of Education and Training to achieve target 4.3 in the context of the higher education sector. This chapter provides an opportunity to review some challenges the Ministry faces in implementing the five actions specified.

While many factors contribute to peace, economic and governmental factors are considered essential litmus tests for determining peace levels. This study aims to examine the impacts of World Governance Index (WGI) variables on the Global Peace Index (GPI) which ranges from 0 (very high) to 5 (very low).

The GPI serves as a key indicator of peace levels. Valid data from two databases covering 161 countries from 2008 to 2022 were collected and analyzed by using a logarithmic panel data regression model. This approach ensures robust results, particularly when endogenous and exogenous variables have different measurement units.

According to the Feasible Generalized Least Squares (FGLS) estimators, five WGI components exhibit inverse relationships with the GPI (increasing WGI components leads to a decline in GPI, indicating an enhancement in peace quality). The most significant factor influencing peace is “Political Stability and Absence of Violence/Terrorism”, while the effects of “Voice and Accountability” and “Control of Corruption” are also noted.

Extant studies have largely overlooked the interaction between governance and peace, often relying on regional data (with neighboring countries) or case studies on local solutions. This paper, based on data from 161 countries, evaluates governance quality and its dimensions in relation to peace conditions on a global scale, providing more generalizable results for policymakers and scholars.

The study estimates the willingness to pay for organic oranges and identifies its influencing factors among consumers in the Mekong Delta, Vietnam.

The study used survey data from 413 households in the Mekong Delta from March 2022 to July 2022. The choice experiment (CE) and contingent valuation method (CVM) were employed to analyze consumers’ willingness to pay (WTP). STATA 17 software was used to analyze research data in the logit model and mixed logit model.

The research results from the CVM approach show that a number of demographic characteristics have a direct impact on WTP, such as education, educational attainment, family size, the presence of children and the elderly in the household, food safety and environmental awareness. The CE model shows product attributes that influence consumers’ WTP, such as country of origin, traceability, quality grade, organic certification, ecolabel and organic content. Both approaches show that price is the main barrier to organic orange consumption.

The study surveyed four large cities in four provinces representing the Mekong Delta region.

Our study helps administrators have a deeper insight into consumer preferences and behavior, specifically the factors that affect consumers' WTP, an important indicator of demand for the success of manufacturers and marketers in developing as well as improving marketing strategies. Knowledge of a product’s WTP on behalf of (potential) customers plays an important role in many areas of marketing management, such as pricing decisions or new product development.

Furthermore, this understanding will inform policymakers about the future of agricultural markets in Vietnam and help them better prepare for the making of sustainable agricultural policies. Develop organic agriculture to both protect human health, protect the living environment and protect the soil from degradation, ensuring sustainable agricultural production. This is also one of the measures to help people stay away from diseases to limit the social burden.

The study confirms that both CVM and CE models can be used to estimate WTP. However, CVM fits the overall WTP estimate, while CE is more appropriate when estimating WTP for individual scenarios through combining attributes with different levels.

The purpose of this paper is to research the impact of digitalization on employees' future competencies and the conditional role of human resource development (HRD) in the relationship between independent and dependent variables.

Empirical research covered 1209 enterprises from all of Slovakia, Poland and the Czech Republic. The research was conducted from 2019 to 2021. Using structural equation modeling (SEM), a theoretical model was tested and verified.

Confirmatory factor analysis has shown a good fit for the tested model. The purpose and character of our data showed a good alignment with the SEM partial least squares method, as the goal is to predict a construct. The model showed that employee-oriented digitalization positively affected the employees' future competencies, with no impact of customer-oriented digitalization treated as a control variable. Also, the moderating role of HRD has not been shown to be significant for the “digitalization – competencies” relationship.

Previous studies on the development of personnel competencies treated these competencies as antecedents of digital transformation and examined the formal role of HRD in building the competencies. The novelty of this study lies in exploring the pattern of interactions among the impact of an environment built by innovative technologies and HRD on the competencies of the future. Also, the research embedded in the environment of Poland, the Czech Republic and Slovakia has contributed to the complex understanding of the transition to digitalization, as this region has often been omitted in the field of human resource management (HRM) research focused on exploring digital transformation.

In the last few years, environmental issues have become a matter of survival. In this sense, e-waste management is among the major problems since it may be a way of mitigating mineral depletion. In this context, the literature lacks e-waste supply chain studies that systematically map supply chain challenges and risks concerning material recovery.

Given this context, the authors' paper conducted a systematic literature review (SLR) to build a framework to identify the constructs of e-waste supply chain risk management.

The paper revealed the theoretical relationship between important variables to achieve e-waste supply chain risk management via a circular economy (CE) framework. These variables include reverse logistics (RL), closed-loop supply chains (CLSC), supply chain risk management, supply chain resilience and smart cities.

The literature contributions of this paper are as follows: (1) a complete list of the risks of the e-waste supply chains, (2) the techniques being used to identify, assess and mitigate e-waste supply chain risks and (3) the constructs that form the theoretical framework of e-waste supply chain risk management. In addition, the authors' results address important literature gaps identified by researchers and serve as a guide to implementation.