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Construction material management is an important process in supporting construction operations that affect project performance. Previous studies attempt to identify factors influencing material management in different stages such as procurement, transportation and utilization. However, they lack a model to explain the relationship between influential factors and the effectiveness of material management. Therefore, this study aims to validate the variables and key factors influencing the effectiveness of material management processes.

A total of 42 variables were reviewed from literature in different stages of material management process. Survey questionnaires were used to collect data about participants' perceptions on these variables. The respondents were 200 project engineers and project managers from construction sites and offices in Vietnam. Then factor analysis techniques were undertaken to validate the structure of factor groups. Two methods of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were, respectively, performed to evaluate and verify the model's fit.

Factors influencing the effectiveness of material management were grouped into nine main factors, which are procurement issues, site conditions, planning and handling on site, industrial environments, contractual issues, quality control, suppliers and manufacturers' issues, transportation in and out site and security on site.

The paper has several implications for theory and methodology related to material management. It features influential factors in association with the material management effectiveness. Therefore, senior managers can more fully understand the errors in their works and propose timely solutions to limit the unwanted risks.

This research contributes on theoretical development on factors influencing effectiveness of material management processes. The key findings on influential factors can be applied to measure the effectiveness of material management processes.

This paper aims to assess the overall social housing development, point out factors affecting it and propose some policy implications for social housing development.

The research investigated investors, credit institutions and officials involved in social housing development. Bac Ninh province currently has 51 social housing projects that have been and are being implemented. The hypothetical regression model has seven latent variables and is tested by the criteria through the SPSS25.0 software.

There are 29 factors belonging to seven groups affecting housing development. Their impact rates range from 3.47% to 30.25%.

The study has only identified the factors affecting social housing development but has not undertaken an in-depth assessment of its development status and forecast for the future. Therefore, this gap needs to be further studied. The proposed research method could also be applied when researching social housing developments in other countries around the world.

To develop social housing to meet the needs of the real estate market, it is necessary to improve the policies that have the strongest impact first. Then, it is necessary to improve the factors with a smaller impact.

The study proposes policy implications for faster housing development for low-income people that improve their living standards.

To the best of the authors’ knowledge, the paper has studied for the first time social housing development and the factors affecting it. The paper also shows the level of their impact so that priority policies can be applied to each factor.

This study aims to enhance to corrosion protection of NiZn-plated steel by electroplating multilayer coating.

The multilayer coating consists of three layers on mild steel substrate, such as Cr³⁺ chromate conversion layer (CCC), electrodeposited nanosilica zinc-nickel composite layer (ZnNiSi) and electrodeposited zinc-nickel alloy layer (ZnNi). Its morphology, composition and corrosion behaviour were investigated by various methods.

Polarization curves indicated that polarization resistance and corrosion current density of CCC/ZnNiSi/ZnNi/Fe (6.956 kO.cm2; 2.56 µA.cm⁻²) were two times higher and five times lower than that of ZnNiSi/ZnNi/Fe (3.42 kO.cm²; 12.52 µA.cm⁻²), respectively. From electrochemical impedance spectroscopy data, charge transfer resistances were 1.344, 2.550 and 2.312 kO.cm² for ZnNi, ZnNiSi/ZnNi and CCC/ZnNiSi/ZnNi, respectively. Salt spray test indicated that after 48 h, surface of ZnNi and ZnNiSi was covered by white rust, whereas no white rust was observed on surface of CCC/ZnNiSi/ZnNi. After 600 h, there were red rust spots (1% surface coverage) on surface of Zn-Ni, whereas only white rust was observed on both ZnNiSi/ZnNi (100% surface coverage) and CCC/ZnNiSi/ZnNi (10% surface coverage).

Multilayer coating enhanced significantly the corrosion protection for steel, as compared to the single-layer coating.

Women migrant street vendors are considered a vulnerable group in societies, thereby being hard hit during a crisis. This research aims to examine effects of COVID-19 social distancing on their businesses, consumption, health and general lives; solutions and mitigation strategies that they adopted in response to these adverse effects; and their recovery of socioeconomic lives after social distancing.

The data were collected from the women migrant street vendors in urban Vietnam. Descriptive statistics, probit model and ordered probit model were used for empirical analysis.

Women migrant street vendors faced immense challenges during social distancing. They also lacked solutions to sustain their businesses and were forced to resort to various mitigation strategies. Their socioeconomic lives were also slow to recover after social distancing. In addition, those experiencing greater business loss faced more adverse effects during social distancing and have more difficulties in the recovery of socioeconomic lives after social distancing.

This research highlights the importance of redesigning social policies to support women migrant street vendors during crises. It also emphasizes the need to formalize and legalize their activities to foster sustainable and inclusive development in the long term.

To the best of the authors’ knowledge, this research is among the first attempts to explore the effects of COVID-19 social distancing on the women migrant street vendors and to examine how they respond to these adverse effects.

This paper aims to analyze the development of global human resource development (HRD) articles published in journals indexed in the Scopus database since 1960s until present time.

A publication collection of 1,905 articles collected from the Scopus database was downloaded and analyzed by using bibliometric techniques available in the VOSviewer and Biblioshiny software.

Three different development stages of HRD research have been identified: a seeding stage between 1962 and 1989, a growth stage between 1990 and 2007 and a development stage from 2008 onward. The USA and the UK were the biggest contributors who participated to 30.02% and 12.55% of articles in the collection and received 43.82% and 19.54% of the total number of citations, respectively. Scholars with the most publications and citations are mostly from the USA and the UK, and nine over ten most cited articles having first author’s affiliation located there. Emerald Group is the most popular publishing house, as five over ten most popular journals belong to this publishing house.

After six decades of development, it is necessary to examine the evolution of HRD research, its characteristics and its intellectual framework as this type of analysis is not yet available in the literature. This study helps scholars better understand this research field, as well as better prepare for future work in HRD.

This study aims to examine the accessibility, loan purposes and effects of informal credits on poor households in Northern mountainous Vietnam.

This study used primary data collected directly from surveying 402 poor households in Thai Nguyen province using a well-designed questionnaire. The probit model is employed to specify which factors affect access to informal credit, the tobit model is used to estimate the borrowing functions specified. In addition, descriptive statistical analysis is also used to describe the accessibility, purposes and effects of informal credit on poor households.

The results show that there is a considerably high proportion of informal borrowings from relatives, neighboring villagers, professional moneylenders, rotating saving and credit groups, trade credits and mortgages. Labor force ratio, social capital and residential land areas are the key determinants of poor households' informal borrowings. The purposes of borrowing are diverse. The informal loans also have certain significant effects on poverty reduction and the welfare of poor households.

The effects of the informal loans on house welfare should be quantitatively evaluated.

The findings from these analyses allow us to draw relevant policy implications for the development of rural finance in other low-income, developing countries.

This research contributes to the body of published literature in several ways. Firstly, it provides understanding of the performance of the informal financial subsector. Secondly, the informal subsector of rural finance is evaluated in close relation to the formal subsector.

In the early stage of the COVID-19 pandemic, Vietnam imposed many drastic restrictions to curb the outbreak of this virus. Such restrictions interrupted the normal functioning of various economic sectors, including agriculture. This research examined disruptions to agricultural activities, income loss and perceived food insecurity among farm households during the pandemic, and then explored the relationships among these economic factors.

Household data from Vietnam and Generalized Structural Equation Model (GSEM) were used for empirical analysis.

Descriptive analyses found that only a small proportion of farm households suffered from the COVID-19 disruptions to their agricultural activities, a large percentage experienced income loss, and a medium number were worried about their food insecurity. GSEM results also revealed that the COVID-19 disruptions to agricultural activities significantly increased the likelihood of worrying about food insecurity, mediated by income loss.

Due to data limitations, the authors could not use better indicators to define and measure the variables of interest (e.g. COVID-19 disruptions to agricultural activities, income loss and food insecurity). Another similar concern was that our models did not account for unobservables, causing some estimation biases.

This research is among the first attempts that examined the direct and indirect (mediated by income loss) effects of the COVID-19 disruptions to agricultural activities on food insecurity.

As small and medium-size enterprises (SMEs) rely on board heterogeneity to raise capital and establish credit relationships with suppliers, it is crucial to investigate the board heterogeneity effect on their survival. In this study, the first research objective is to provide further insights on the discriminatory power of survival approaches, specifically on semiparametric approaches in survival analysis that take into consideration both fixed and time-varying covariates. The second objective is to examine the relationship between board size and SME liquidation by using resource-based theories that focus on measuring board heterogeneity through board size.

This paper uses survival approaches for modelling SMEs survival by examining the survival of more than 68,000 SMEs in the UK covering the before, onset and post 2008 crisis periods and with firms’ demographic characteristics and financial indicators. Survival analysis is effective to examine multiple causes of default/failure and how do particular circumstances or characteristics increase or decrease the probability of survival. Survival analysis brings more advantages than linear-based regression approaches by effectively handling the censoring of observations.

Motivated by resource-based theories, the authors find that the likelihood of a firm being liquidated robustly increases with a reduction in its board heterogeneity measured through board size. This finding is held under non-parametric, parametric, and semiparametric approaches using survival analysis. The research shows better causal explanation and discriminatory power on using the semiparametric-based survival analysis approach considering both fixed and time-varying covariates.

This study demonstrates the better performance and causal explanation of the survival model using time-varying covariates compared with those using fixed covariates. In addition, the authors delve into board heterogeneity, measuring through the board size to investigate how the number of board directors affects the firm liquidation, it is also a factor worth considering when a small and medium firm is forming its board.

This research investigates the board heterogeneity effect on firm survival using survival analysis approaches. The authors contribute to the knowledge on board heterogeneity of SMEs. Specifically, the size of more than three directors could help reduce SMEs liquidation risk. This result gives a recommendation to firms or start-ups when forming their director board. This research also provides further insights on the applicability of survival models with unique UK SMEs data covering the before, onset and post 2008 crisis periods.

COVID-19 presents a serious and unprecedented challenge around the globe. Street vendors are the most vulnerable group during this pandemic regarding livelihood loss and contagion risk. This research aims to examine the roles of risk communication work in enhancing COVID-19 risk perceptions and adoption of COVID-19 preventive behaviors among street vendors.

The data were collected from the street vendors in urban Vietnam. A binary probit model was used for analyzing the relationships among exposure to risk communication, risk perception and adoption of preventive behaviors.

The analysis reveals the outreach of risk communication work to the street vendors. A rather large proportion of the respondents perceive high risks associated with COVID-19. All respondents adopt COVID-19 preventive behaviors; however, the proportion of regular adoption is moderate and even very low for most behaviors. Their frequent exposure to risk communication significantly raises their risk perceptions and encourages their regular adoption of preventive behaviors, particularly regarding the measures that are affordable and less detrimental to their livelihood.

This research is among the first attempts to examine risk communication to the vulnerable group, how they perceive risks and the extent to which they adopt preventive behaviors during a public health crisis. This research draws some implications for risk communication and social welfare policies to obtain sustainable development goals.

Grounded on the collected data and basic view of the belief-action-outcome, the current study aims to investigate the mediating role of environmental commitment (EC) in the relationship between environmental awareness (EA) and three outcomes, namely, pro-environmental behavior (PEB), willingness to sacrifice for the environment (WSE) and nongreen behaviors (NGB).

Data was gathered from 509 restaurant employees and 96 supervisors in two different waves through a 10-day time lag in India. Structural equation modeling was used to understand the relationships using LISREL 8.30.

This study verified that employees’ EA is significantly related to EC. Moreover, according to the results, employees’ EC is positively related to PEB and WSE while it is negatively related to NGB. The results similarly attested to the mediation impact of EC in the relationship between EA and the outcomes.

Organizations’ employment of green and eco-friendly practices can make employees more familiar with environmental concepts and practices. The current study encourages restaurant managers to regularly invest and be involved in developing relevant environmental training, which can improve employees’ knowledge and awareness of environmental matters.

By highlighting overlooked concerns in the restaurant and service literature, the current study makes significant contributions in the context of the restaurant industry. To date, there is not a single indication of any study that analyzes the impact of EA on employee EC and its potential links to other employee outcomes.