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This paper seeks to complement earlier studies on ethnic minority underdevelopment in Vietnam by empirically examining the ethnic wage gap for the wage employed in the Vietnamese labour market, using data from a large‐scale household survey conducted in 2002.

The paper uses the “index number” decomposition method suggested by Oaxaca to decompose the ethnic wage gap into treatment and endowment effects at both the mean and selected quantiles of the conditional wage distribution.

The results confirm the existence of an ethnic wage gap in the labour market, though the gap is found to be substantially narrower than the ethnic gap detected using household living standard measures for Vietnam. Decomposition results reveal that the ethnic wage gap is largely attributable to differentials in the returns to endowments, a finding invariant whether the mean or selected quantiles of the conditional wage distribution are examined.

In the absence of feasible alternatives, the paper uses an ad hoc procedure to correct for selectivity into wage employment for the quantile regression models. In addition, due to data constraints with regard to earnings, the paper does not examine the ethnic wage gap for the self‐employed.

The paper is the first to analyse the ethnic wage gap in the Vietnam labour market and one of the few to examine ethnic pay differentials at selected points of the conditional wage distribution using quantile regression analysis.

The recent pandemic disrupted the way in which businesses transact with each other. In response to maintaining cleanliness in business-to-business (B2B) settings, artificial intelligence (AI)-enabled robots have been adopted as substitutes for cleaning personnel, yet their implications remain largely underexamined. This study aims to examine B2B buyer responses to cleaning information notices (human vs AI-enabled agent) placed at either the entry to the premises or the sales counter, thereby adding to the nascent literature in this line of inquiry.

Three field experiments were conducted across diverse B2B businesses (wholesalers in Studies 1–2 and a commercial business in Study 3). To achieve greater empirical rigor and generalizability, this research used diverse stimuli across different B2B settings. In addition, the results ruled out alternate explanations and shed light upon political ideology as a boundary condition. Finally, a single-paper meta-analysis confirmed H1, consolidating the established effect.

Featuring over 1,000 B2B buyers, the results show that politically liberal B2B buyers express greater preference for human over AI-performed cleaning while labor-orientated buyers are indifferent. Importantly, this effect is driven by greater relaxation associated with humans, which in turn, increases their future patronage and referral intent.

The results enrich the collective knowledge of the adoption of AI-enabled robots, reinforcing for marketing practitioners and businesses that the reliance on human-based outcomes remains a preferred touchpoint in B2B settings, particularly for liberals.

Extended reality (XR) is an emerging technology, with its popularity rising in different industry sectors, where its application has been recently considered in construction safety. This study aims to investigate the applications of XR technologies in the safety of construction through projects lifecycle perspective.

Scientometric analysis was conducted to discover trends, keywords, contribution of countries and publication outlets in the literature. The content analysis was applied to categorize previous studies into three groups concerning the phase of lifecycle in which they used XR.

Results of the content analysis showed that the application of XR in the construction safety is mostly covered in two areas, namely, safety training and risk management. It was found that virtual reality was the most used XR tool with most of its application dedicated to safety training in the design phase. The amount of research on the application of augmented reality and mixed reality in safety training, and risk management in all phases of lifecycle is still insignificant. Finally, this study proposed three main areas for using the XR technologies regarding the safety issues in future research, namely, control of safety regulations and safety coordination in construction phase, and safety reports in the operation phase.

This paper inspected the utilization of all types of XR for safety in each phase of construction lifecycle and proposed future directions for research by addressing the safety challenges in each phase.

This study aims to examine the relationships among fear of COVID-19, job stress, job commitment and intention to quit. It also investigates the boundary conditions of the impact of fear of COVID-19 on job stress and intention to quit, a research gap that has not been addressed yet.

This research focused on full-time frontline hotel employees who have been working in four- and five-star hotels in Ho Chi Minh City, Vietnam. A pilot test was performed before collecting formal data. The survey was conducted face-to-face on site so that any potential confusion could be clarified right away. 487 valid responses were analyzed using SPSS 28 and SmartPLS 4.

The majority of hypotheses were supported, with the results suggested that supervisor support contributes to reducing the tendency of hotel employees to quit their job and their job stress. Besides, government support is necessary to make staff feel secure during the pandemic.

This study contributes to pointing out central priorities in making decisions by hotel managers when facing crises. Managers need to focus more on measures to help their employees feel secure and should be available for guidance and feedback when nedeed. Additionally, supportive policies from the government, especially financial support, can provide hotel employees with resources they need to maintain a basic level of living in the face of a severe drop in their income. The study provides the hotel industry not only in Vietnam but also in countries with comparable settings with strategies to cope with unexpected events.

Research on intention to quit a job has mainly focused on a complex interplay of internal factors. However, the influence of fear of COVID-19 on intention to quit a job has not been studied in the context of Vietnamese hotel industry yet. During the COVID-19 pandemic, a number of hotels in Vietnam had to close due to a lack of visitors, which had a negative impact on human resources. Accordingly, fear, stress, commitment and intention to quit a job are the issues faced by staff.

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.

While there exist many surveys on the use stochastic frontier analysis (SFA), many important issues and techniques in SFA were not well elaborated in the previous surveys, namely, regular models, copula modeling, nonparametric estimation by Grenander’s method of sieves, empirical likelihood and causality issues in SFA using regression discontinuity design (RDD) (sharp and fuzzy RDD). The purpose of this paper is to encourage more research in these directions.

A literature survey.

While there are many useful applications of SFA to econometrics, there are also many important open problems.

This is the first survey of SFA in econometrics that emphasizes important issues and techniques such as copulas.

This study is embedded in social exchange and transaction cost theories. The purpose of this paper is to compare the relative importance of process value and outcome value in building affective and cognitive relationship strength and to compare the relative effects of each type of relationship strength on attitudinal and behavioral loyalty.

This empirical study features a quantitative approach. The sample comprises 167 business-to-business (B2B) customers of a large transportation and logistics company in Vietnam.

Process value and outcome value have different effects on affective relationship strength. The effect of process value is greater than that of outcome value. In addition, cognitive strength has a stronger impact on both attitudinal and behavioral loyalty than affective strength.

These insights extend extant literature regarding the process and outcome components of the service assessment. Further studies also should use a cross-industry, cross-country sample to examine the potential moderating effects of country- or industry-specific factors. These findings show B2B managers how to make appropriate resource allocation and investment decisions to enhance relationship strength and resulting customer loyalty.

To clarify the links among customer value, relationship strength and customer loyalty, this study examines the relative importance of rational and non-rational factors (i.e. process value vs outcome value and affective strength vs cognitive strength) for relationship performance. Unlike most prior research, this study is set in the B2B context of a developing country.

Green human resource management (GHRM), seen as a current research trend, plays an important role in organizations’ sustainable development strategies. However, there is still a research gap in the systematization and integration of the available GHRM-related knowledge to suggest detailed future directions. Thus, the purpose of this paper is to conduct a systematic literature review on GHRM aimed at proposing detailed research gaps and agendas for future study.

First, this work reviews 74 articles, including 61 research/empirical articles and 13 review articles, linked with the GHRM field from the Scopus and Web of Science databases. These publications are then coded and classified into ten categories before the main findings linked with GHRM knowledge are identified. Last, the study addresses existing research gaps and proposes detailed recommendations and a research framework for further studies.

Analysis of the relevant literature is presented in the following main sections: an overview that illustrates the existing findings related to GHRM coded and classified; a description that stresses research gaps and proposes in detail 16 recommendations; and a research framework that focuses on GHRM for a future research agenda.

This review is important for researchers orient the research in GHRM by identifying research gaps and providing detailed recommendations. It is the first work that proposes a full research framework for future studies, especially suggestions of development related to green behavior outside of organizations, the circular economy, and technology based perspectives/Industry 4.0.

The purpose of this paper is to test the effects of financial regulatory announcements on risk and return in the Vietnamese equity market.

The event study methodology is used for the return analysis, and asset pricing models are adjusted for the risk analysis. Various robustness tests are used, including the Corrado non-parametric ranking test and the Chesney et al. non-parametric conditional distribution test, as well as GARCH, TARCH, EGARCH and PARCH specifications for the risk models.

The authors find evidence for both negative and positive reactions as well as risk shifting behaviour in the form of a diamond risk structure.

This paper fills a major gap in the literature by investigating the market’s reaction to bank regulatory announcements across financial and non-financial sectors in the Vietnamese equity market.

By anchoring on the ability-motivation-opportunity (AMO) framework, this research aims to examine the effect of tourists' green ability, motivation and opportunity to access green information on digital media platforms (green AMO) on their intention to stay at green hotels. The study also tests the moderating role of environmental concern and the mediating role of green attitude in this relationship.

An online survey was conducted on large Facebook groups and by an international tour operator in March 2022. Through convenience sampling, 600 responses were collected from local and international tourists. Partial least squares structural equation modeling was performed to validate the research model.

The results reveal that tourists' intention to stay at green hotels is positively affected by their green AMO through indirect and direct channels. Specifically, green AMO indirectly effects tourists' intention to stay at green hotels by raising their green attitude. The results also indicate that the direct effect is moderated by environmental concern.

The findings demonstrate the importance of facilitating tourists' access to environmental information on social media platforms, which enhances green attitude and intention to stay at green hotels. This study also proposes practical solutions that managers of green hotels can employ to target green-oriented customers and conduct environmental campaigns on digital platforms.

The research is the first to investigate the effects of tourists' green AMO on their intention to stay at green hotels. It is also the first to explore the roles of environmental concern and green attitude in this relationship.