Search results

Information sharing is one of essential collaboration methods for building effective system-level disruption responses and communication for supply chain resilience. However, supply chain members are often reluctant to share the members' business information for fear of losing competitiveness. To facilitate the cooperation among these members, the supply chain members' should be made aware of the value of information. As a result, the purpose of this paper is to quantify the benefit of information sharing and evaluate its magnitude under various factors.

In this paper, information sharing is measured in a two-stage supply chain containing a manufacturer and a retailer. A demand function is constructed as a linear combination of a first-order autoregressive [AR(1)] process, the retail and reference prices. The values of information sharing are quantified for four scenarios: (1) no information sharing, (2) full information sharing, (3) limited information sharing and (4) partial information sharing. Based on the four scenarios, the conditions for valuable information sharing are determined. In addition, the impact of several demand parameters on the usefulness of information sharing is analyzed.

When the demand function is a pure AR(1) process (i.e. there is no impact from the retail and reference prices), information sharing is always valuable regardless of the autoregressive coefficient. Under the influence of the retail price and consumer behavior via the reference price, information sharing is not always beneficial. The boundaries for useful information sharing are analytically constructed. In addition to full information sharing, this study also quantifies the value of information under a partial sharing scheme. The results indicate that the information is more valuable as long as the information is inducible.

This study highlights several specific conditions for a beneficial information sharing agreement in consideration of consumer behaviors. These conditions enable supply chain members to design a sustainable partnership.

This study explores the impacts of COVID-19's strictest lockdown on Vietnamese citizens' living habits, wellbeing and work-from-home effectiveness.

The study uses a survey questionnaire to gather relevant data from Vietnamese adults during the most recent, strictest lockdown in their cities/provinces since July 2021. The study employs ordinal regression and mediation models to examine the effects of the strict lockdown difficulties on the changes in living habits, wellbeing and work effectiveness of Vietnamese respondents.

The empirical result demonstrates that the strictest lockdown adversely affected the living habits of Vietnamese citizens, thus impacting people's wellbeing. Work-from-home lockdown difficulties led to unexpected health issues that bring produce lower working effectiveness.

This is the first study to investigate the changes in citizens' living habits, health and working conditions in adherence to Vietnam's strictest COVID-19 lockdown. This is also the first study to examine the impacts of lockdown difficulties on human wellbeing with the mediating effect of changes in living habits, and the influence of work-from-home lockdown difficulties on work effectiveness, with the mediating effect of lower wellbeing based on the literature. Our study suggests solutions to improve Vietnamese people's health and working productivity during and after a strict lockdown.

This study aims to revisit the link between employee welfare and firm financial performance using a large sample. Besides, the study explores mechanisms behind the link and heterogeneous effects of employee welfare on firm performance across firms and industries with different characteristics. These findings help partly explain mixed results in previous works.

This study utilized KLD database data from 2001 to 2015 to capture the firm-level employee welfare, then analyze the link between employee welfare and firm financial performance. The findings are further verified using clustered standard errors ordinary least squares (OLS) regression analysis along with robustness testing, which supports the validity of our conclusions.

The research result confirms a positive association between employee-friendly practices and firm performance indicated by Tobin's q. Regarding the mechanisms linking the two, the study shows that higher employee welfare is positively associated with firm productivity and innovation investment, while it is negatively related to the cost of finance. Further, consistent with agency and modern management theories, the effect of employee welfare on financial performance is more pronounced for human-intensive (i.e. R&D-based) firms and firms with better corporate governance.

This study contributes to the existing literature on the association between employee welfare and firm performance in several ways. First, using the index of employee welfare from KLD can alleviate inherent limitations in previous studies. Second, the authors provide and validate the possible mechanisms linking employee welfare and firm value. Third, the authors also extend the literature by providing new insights into the employee welfare–firm performance nexus through a contingency perspective.

This study analyzes whether farmers' incomes increase as they participate in online groups.

The study analyzed interview data from 673 farming households in three mountainous provinces of northern Vietnam, utilizing the propensity score matching (PSM) method.

The empirical results reveal that farmers participating in online groups, particularly those engaged in 1–3 groups, experience an increase in their income attributed to the three advantages of sharing-accessing-saving (SAS) information. Farming households engaged in online groups earn higher incomes, ranging from equivalent to 25.78 to 26.96 USD, in comparison to those who do not participate. Notably, farmers participating in 1–3 online groups outpace their counterparts in 4–5 groups in terms of income.

This study exclusively focuses on examining farmers' total income derived from all their agricultural activities and does not quantify the specific impact of online group participation on the income generated by each product. Furthermore, it is important to note that the PSM method has the potential to introduce bias due to unobserved factors, such as social networks and local culture. Consequently, future research should prioritize the segmentation of income from individual agricultural products, distinct from the overall income, to gain a more nuanced understanding of each product’s sensitivity to information exchanged in online groups. Simultaneously, accounting for unobserved factors is crucial to obtain unbiased estimates.

This study represents the inaugural exploration into the comparison of farmers' incomes within a novel context – participation in digital-based groups. Furthermore, it extends the inquiry by delving into the correlation between the number of online groups joined and farmers' income. The empirical findings indicate that farmers may benefit the most by limiting their participation to a select few groups that align with their information needs and analytical abilities.

Little econometric evidence exists on the determinants of nonfarm participation among ethnic minorities in Vietnam. The purpose of this paper is to examine the intensity of nonfarm participation and its correlates among ethnic minority households in Northwest Mountains – the poorest region of Vietnam.

Factors affecting the level of nonfarm participation were examined by using a fractional logit model. In addition, regression analysis using analysis of variance models were used to compare the mean of household characteristics and assets between households with and without nonfarm employment.

The study found that households depended heavily on agriculture for subsistence and their access to nonfarm employment is very limited. Households with nonfarm employment had much higher levels of education, income, assets and a much lower level of poverty than those without nonfarm participation. The intensity of nonfarm participation is positively associated with education levels, proportion of male working members and fixed assets but negatively correlated with the size of annual crop land and water surface for aquaculture. Also, the presence of nonfarm opportunities and paved roads in a commune increases the intensity of nonfarm participation for households living in that commune.

The findings suggest that any poverty alleviation policies should aim at improving the access of ethnic minorities to education and nonfarm job opportunities.

The study offers the first evidence of factors affecting the intensity of nonfarm participation among ethnic minorities in the study area.

The purpose of this paper is to estimate the effects of human resource management (HRM) practices on firm outcomes at the firm level in Vietnam.

The paper employs a fixed-effects framework for the estimation using a panel sample of manufacturing firms from small- and medium-sized enterprise surveys between 2009 and 2013.

The paper finds that, on average, a firm that provides the training for new workers gains roughly 13.7, 10 and 14.9 percent higher in output value per worker, value added per worker and gross profit per worker, respectively, than the counterpart. Moreover, an additional ten-day training duration for new employees on average leads to a 4.1 percent increase in output value per worker, a 3.0 percent rise in value added per worker and a 3.0 percent growth in gross profit per worker. The paper also uncovers that a marginal 10 percent of HRM spending results in about 2 and 1.6 percent rises in output value per worker and value added per worker, respectively.

Using the case of Vietnam, this paper shows the important roles of HRM practices in explaining firm outcomes.

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.

This study aims to understand and a lay a foundation of how analytics has been used in depression management, this study conducts a systematic literature review using two techniques – text mining and manual review. The proposed methodology would aid researchers in identifying key concepts and research gaps, which in turn, will help them to establish the theoretical background supporting their empirical research objective.

This paper explores a hybrid methodology for literature review (HMLR), using text mining prior to systematic manual review.

The proposed rapid methodology is an effective tool to automate and speed up the process required to identify key and emerging concepts and research gaps in any specific research domain while conducting a systematic literature review. It assists in populating a research knowledge graph that does not reach all semantic depths of the examined domain yet provides some science-specific structure.

This study presents a new methodology for conducting a literature review for empirical research articles. This study has explored an “HMLR” that combines text mining and manual systematic literature review. Depending on the purpose of the research, these two techniques can be used in tandem to undertake a comprehensive literature review, by combining pieces of complex textual data together and revealing areas where research might be lacking.

This study aims to explain the existing adaptation practices in an urbanized sub-region in the lower Chao Phraya River basin (CPRB) across different scales and dimensions. It offers an overview of water hazards in urban areas along the river basin to discover ways to deal with and recover from hazards via understanding the implications of existing and potential practice for the mitigation of hydrological hazards.

First, this study collected current adaptation strategies and measures from interview, focus group discussion, workshop organization, etc. to get the current adaptation strategies/measures for the whole CPRB and each specific area. Second, this study identified a set of criteria for evaluation from review of current publications and official reports. Then, the current adaptation strategies/measures were examined through a set of criteria to obtain the current situation of existing practices. Finally, analysis of key challenges and opportunities was done to propose supporting guidelines to reduce hydrological risks and incorporate further adaptation measures needed to boost resilience in the area.

Adaptation methods should focus on mixed adaptation, which integrates structural, social, organizational and natural adaptation, and to develop multi-dimensional collaboration. The adaption strategy has restricted the usage of some technologies and technical know-how, particularly in the area of climate change. As a result, intentional adaptation to become more inventive is required, to reduce hazards and improve disaster-response capacity. The various adaptation measures should be more integrated or more adaptive and to achieve greater cohesion and mutual benefit of individual measures, such as community-based adaptation or community-driven slum upgrading.

Hydrological risks are wreaking havoc on social, economic and environmental elements, particularly river flood, flash flood and drought in the Asia-Pacific region. Twenty-two existing adaptation options were evaluated with evaluation criteria such as scales of risks/impacts reduction, benefits of environmental and socio-economic and institutional aspects. The findings highlight the current situation of existing practices, key challenges and opportunities, which emphasized on natural-based solutions, raising knowledge and awareness and lessons learned on adaptation of hydrological risks. The existing adaptation measures will be suggested as supporting guidelines and master plans to minimize the hydrological risks.