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This paper presents and investigates a method named M×N‐ary chaotic pulse‐width‐position modulation (CPWPM) which is based on the combination of M‐ary chaotic pulse‐position modulation (CPPM) and N‐ary chaotic pulse‐width modulation (CPWM) in order to provide a better performance in noise‐affected environments as well as improve significantly bit rate.

Analysis of schemes for modulator and demodulator are presented in detail through describing the schemes of the individual methods and their combination. Theoretical evaluation of bit‐error rate (BER) performance in presence of additive white Gaussian noise (AWGN) is provided. Chaotic behavior with tent map in variation of modulation parameters is also investigated. In order to verify the theoretical analyses, numerical simulations are carried out and their results are reported.

Both evaluation and simulation results show that when the number of symbols increases, the bit rate is improved significantly but the BER performance is just slightly worse. This makes M×N‐ary CPWPM become an effective method for chaos‐based digital communication.

Although CPPM, CPWM and M‐ary modulation methods have been described in the literature separately, their combination is presented and investigated for the first time in this paper.

Perhaps the most significant development in the global business arena in the post-war period has been the emergence of the Asia-Pacific rim countries as a significant economic force.

This study aims to investigate the association between corporate governance (CG) and the corporate social responsibility (CSR) information disclosure as well as the moderating role of state-ownership between CG and CSR disclosure.

To examine the relationship between CG and CSR disclosure, this study used the feasible general least squares and generalized method of moments method on a sample of 165 non-financial quoted companies over the 2015–2018 period, which account for about three-fourths of the Vietnamese stock exchange.

The findings suggest that enterprises with smaller board size consisting mainly of independent directors have a higher CSR disclosure level. Moreover, when the chief executive officer is concurrently the chairman of the board, the level of CSR disclosure falls. Additionally, the moderating role of state ownership enhances CSR disclosure.

The empirical results of this study form a solid foundation for policymakers and other stakeholders’ decisions in investing or establishing policies.

This study provides empirical evidence on the relationship between CG and CSR disclosure in Vietnam – a developing country with no legal requirement on CSR disclosure. Moreover, this study emphasizes the moderating role of state ownership between CG and CSR disclosure, which clarifies the role of state ownership in establishing CG mechanisms.

This chapter focuses on the potential of urban agriculture to support progress in SDG targets 2.1, 2.2, 2.3, and 2.4 in Ho Chi Minh City (HCMC), Vietnam. The chapter integrates findings from the British Council-funded project, ‘Urban Resilience from Agriculture through Highly Automated Vertical Farming in the UK and Vietnam’, undertaken in collaboration with Middlesex University, Van Lang University, and local agricultural stakeholders in HCMC. Food security in the city faces multiple challenges ranging from significant in-migration, decreasing area of cultivated land, the impact of the Covid-19 pandemic that continues to depress the economy and disrupt food supply chains, and climate change impacts affecting the environment and people throughout the city. HCMC accommodates a substantial agricultural sector, which is evolving from traditional to modern production practices. City’s leaders established numerous policies that emphasise green, circular economies, climate change resilience, and low carbon emissions fuelling demand for agricultural solutions that integrate traditional and modern technologies that can be embedded in the local topography, soil types, architectural space, and native culture. Findings from greenhouse trials, community awareness surveys, and stakeholder-led workshops point to a range of high-technology-supported agriculture models that, if applied flexibly throughout the varying context of the urban area, have good scope to help Ho Chi Minh City and meet its growing need for food as well as its sustainability aspirations.

The purpose of this study is to investigate the impact of perceived barriers (PBs) (i.e. perceived lack of support, perceived fear of failure and perceived lack of competency) on social entrepreneurship intentions among undergraduate students with the mediating role of self-efficacy based on the social cognitive career theory. Additionally, this study examines the moderating role of entrepreneurship education (EE) on the relationship between self-efficacy and social entrepreneurship intentions.

The partial least squares-structural equation modeling was employed to estimate the proposed research model with empirical data collected from 476 third- and fourth-year students through structured questionnaires.

This study revealed various nuances in the impacts of three perceived barrier components on social entrepreneurship intentions through self-efficacy. Specifically, the positive relationship between perceived fear of failure and social entrepreneurship intentions and the negative relationship between perceived lack of competency and social entrepreneurship intentions were significant. However, the direct relationship between perceived lack of support and social entrepreneurship intentions was not significant. Moreover, the results revealed that self-efficacy fully mediates the associations between perceived lack of support and social entrepreneurship intentions and marginally mediates the associations between perceived fear of failure and social entrepreneurship intentions. Furthermore, the moderating role of EE in the relationship between self-efficacy and social entrepreneurship intentions was demonstrated.

This study does not account for the potentially heterogeneous impact of different groups (e.g. major, working experience, family backgrounds, regions and volunteering experiences) on social entrepreneurship intentions. Second, this study employed a cross-sectional research design, which hinders the generalizability of the research findings due to the sample size and research context.

The empirical findings imply that stakeholders of social entrepreneurship (policymakers, educators and students) should be aware of the factors that may hinder and/or foster social entrepreneurship intentions, then have actions to govern these factors. Moreover, strategies to enhance the impact of self-efficacy on social entrepreneurship intentions through EE are a fruitful insight.

This study highlighted the diverse effect of PBs (perceived lack of support, perceived fear of failure and perceived lack of competency) on social entrepreneurship intentions through self-efficacy among undergraduate students. In addition, the role of EE in the relationship between self-efficacy and social entrepreneurship is confirmed, which emphasizes the role of higher educators in facilitating students’ social entrepreneurship intentions.

COVID-19 hits every country’s health-care system and economy. There is a trend toward using automation technology in response to the COVID-19 crisis not only in developed countries but also in those with lower levels of technology development. However, current studies mainly focus on the world level, and only a few ones report deployments at the country level. The purpose of this paper is to investigate the use of automation solutions in Vietnam with locally available materials mainly in the first wave from January to July 2020.

The authors collected COVID-related automation solutions during the first wave of COVID-19 in Vietnam from January to July 2020 through a search process. The analysis and insights of a panel consisting of various disciplines (i.e. academia, health care, government, entrepreneur and media) aim at providing a clear picture of how and to what extent these solutions have been deployed.

The authors found seven groups of solutions from low to high research and development (R&D) levels deployed across the country with various funding sources. Low R&D solutions were widely spread owing to simplicity and affordability. High R&D solutions were mainly deployed in big cities. Most of the solutions were deployed during the first phases when international supply chains were limited with a significant contribution of the media. Higher R&D solutions have opportunities to be deployed in the reopening phase. However, challenges can be listed as limited interdisciplinary research teams, market demand, the local supporting industry, end-user validation and social-ethical issues.

To the authors’ best knowledge, this is the first study analyzing the use of automation technology in response to COVID-19 in Vietnam and also in a country in Southeast Asia. Lessons learned from these current deployments are useful for future emerging infectious diseases. The reality of Vietnam’s automation solutions in response to COVID-19 might be a reference for other developing countries with similar social-economic circumstances and contributes to the global picture of how different countries adopt technology to combat COVID-19.

This study aims to redefine the urban heritage value of trade streets in Hanoi's Ancient Quarter (AQ) and propose an expanded notion of the “historicity” found through intangible cultural heritage (ICH).

A longitudinal analysis was conducted to examine the historical transitions of trade streets, thereby providing an alternative value perspective for considering the area's conservation management. The trade streets were specifically analysed from the pre-colonial era to 2017 using past survey data concerning the distribution and concentration of trade types, statistical documents from the colonial era and recent fieldwork data from investigations into 79 trade streets, thus identifying seven patterns of change.

Individual trade streets contribute to the unique identities of their respective streets while collectively providing experiential value through the overall variety and density of trade types. Further, the value of modernised trade streets can be found in their support of the area's systemic and experiential values.

Current management approaches should shift to include non-traditional trade streets that have experienced gradual changes or retained specific businesses for long periods of time.

This was the first study to conduct a longitudinal analysis of AQ trading with partial support from statistical data. It explored an expanded way of interpreting historicity from the viewpoint of dynamic ICH along the two axes of pace and intensity by tracing changes in commercial activities over time.

The purpose of the present research is to examine the comparative values that urban Vietnamese consumers place on attributes of rice that is produced using environmentally friendly methods. The authors consider the impacts that this may have on the livelihoods of rural Vietnamese small farmers. Rice is an “impure public good” that includes both “private” and “public” attributes that consumers consider in their purchase decisions. Consumers make tradeoffs between environmentally and socially beneficial practices (public goods) and perceptions of product quality (private goods). The authors used latent class modeling to investigate the values associated with attributes of rice that is produced using sustainable farming practices.

The authors used a discrete choice experimental design in which consumers stated their choices among combinations of rice attributes. The survey provided responses from 360 urban Vietnamese consumers and allowed to estimate the preferences and nonpecuniary values for rice grown using different levels of environmentally beneficial production methods.

The results identify two segments of rice consumers: one group of consumers who are sensitive to price and the other group who are sensitive to environmental issues. The individual characteristics are reflected in the choices of production methods and in the willingness to pay for environmentally beneficial outcomes of those methods.

Given the number of independent variables measured, the sample was relatively small, such that confirmatory statistical methods were inconclusive. However, the authors used multiple analytical tools that provide corroboration of the significant determinants of the utility functions for the two segments.

The results provide directions for production of rice at a national level, as well as practical implications for consumer-oriented communications.

Results suggest that the emerging middle class of Vietnamese consumers are willing to pay more for rice that is produced using methods that are beneficial to the environment. Results also indicate challenges to provide sustainably-produced rice to poorer groups of consumers.

The study provides important context for consumer preferences within emerging economies. This also adds to a growing literature that uses the choice experiment method to estimate consumer valuation of the outcomes of various agricultural practices.

Class-based storage has been studied extensively and proved to be an efficient storage policy. However, few literature addressed how to cluster stuck items for class-based storage. The purpose of this paper is to develop a constrained clustering method integrated with principal component analysis (PCA) to meet the need of clustering stored items with the consideration of practical storage constraints.

In order to consider item characteristic and the associated storage restrictions, the must-link and cannot-link constraints were constructed to meet the storage requirement. The cube-per-order index (COI) which has been used for location assignment in class-based warehouse was analyzed by PCA. The proposed constrained clustering method utilizes the principal component loadings as item sub-group features to identify COI distribution of item sub-groups. The clustering results are then used for allocating storage by using the heuristic assignment model based on COI.

The clustering result showed that the proposed method was able to provide better compactness among item clusters. The simulated result also shows the new location assignment by the proposed method was able to improve the retrieval efficiency by 33 percent.

While number of items in warehouse is tremendously large, the human intervention on revealing storage constraints is going to be impossible. The developed method can be easily fit in to solve the problem no matter what the size of the data is.

The case study demonstrated an example of practical location assignment problem with constraints. This paper also sheds a light on developing a data clustering method which can be directly applied on solving the practical data analysis issues.

Employability has long been a concern of scholars because of its complicated nature and changes in the requirements in labor markets to meet the new requirements of the Industrial Revolution 4.0 and globalization. However, there has not yet been much systematic investigation of the existing literature tracing the trends, changes and developments in employability research. This paper aims to fill this void by analyzing data obtained from the Scopus dataset from 1972 to 2019.

A total of 1,703 Scopus-indexed articles were filtered from 7,885 documents. The results reflect a rapidly emerging literature on employability, given the worldwide interest in this topic. Using descriptive statistics and bibliometric analyses, the review identified trends in employability research, whose impact has been sustained for several decades.

With science mapping, the conceptual structure of scientific disciplines was visualized, highlighting three main schools of thought including employers’ requirements and higher education institutions’ preparation; the antecedents of employability; and the role of work-integrated learning in enhancing employability.

The paper calls for more integrative research focusing on personal agency with the development of career paths inside organizations as well as for a more focus on a multilevel perspective exploring both individuals' and organizations’ perceptions.