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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.

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.

The purpose of this study is to examine the determinants of career satisfaction of professional accounting returnees who have studied and/or worked abroad and then returned to work in different types of international workplaces in their home country.

A survey of professional accounting returnees in Vietnam was undertaken and multiple regression analysis was applied to test the proposed relationships.

This study finds that career satisfaction is affected by career fit, career sacrifice, types of international workplaces (domestically headquartered firms versus globally headquartered firms) and cross-cultural work readjustment. Further, cross-cultural work readjustment partially mediates the effect of career fit and career sacrifice on career satisfaction.

The research provides the basis for designing career-related employee experiences to support career satisfaction of professional accounting returnees.

This study integrates dimensions of career embeddedness with cross-cultural work readjustment and employee experiences, which are normally studied separately, in different types of international workplaces. It contributes to the limited research on contributors to well-being in the form of career satisfaction among professional returnees in an emerging economy.

This study aims to use social exchange theory and the principle of reciprocity in proposing a theoretical model to examine the essential but unexplored unique roles of individual customer equity drivers (CEDs) and their contribution to brand loyalty. This study identifies a reciprocity pathway in that brand equity, which mediates the linkage between relationship equity and brand loyalty. This study further posits that the linkage between relationship equity and brand equity is contingent on value equity. The authors then incorporate value equity as a moderator upon which the interrelationships among CEDs and brand loyalty may vary.

A sample consisted of 2,268 shoppers in a metropolitan city in Vietnam.

Relationship equity significantly determines brand loyalty through the moderating effect of value equity and the mediating effect of brand equity. Interestingly, these relationships are diverse across different experiential types of consumers.

This study contributes to a better understanding of why and when value equity, brand equity and relationship equity trigger brand loyalty. Brand equity and value equity are the two underlying mechanisms that establish a moderated mediation model between CEDs and brand loyalty. The findings of this study show that experiential consumers are not created equals. The strength of the relationships between CEDs and brand loyalty differ among the five clusters of experiential consumers.

This study reveals the critical relationships between the three components of customer equity in the supermarket industry. The findings provide concrete direction for managers and marketers to be more effective in allocating resources, tailoring their marketing strategies and, accordingly, promoting brand loyalty of different types of consumers.

This study reveals the underlying modus operandi that explains the reciprocity effects of CEDs and the contingency role of brand experience on the CEDs–loyalty link. This study shows that brand equity fosters and sustains the reciprocity generated when consumers perceive a high level of relationship equity, serving as a mediator between relationship equity and brand loyalty. Importantly, value equity is an important moderator for strengthening this reciprocity effect. Furthermore, this study identifies a typology of experience-focussed consumers and shows that the CEDs–loyalty link significantly varies by these types of experiential appeal that characterise the consumers.

This paper aims to examine the economic efficiency of Vietnamese 172 higher education (HE) institutions within the 2012–2016 inclusive period through the Data Envelopment Analysis (DEA) approach. The authors also compare public and private, multidisciplinary and mono-disciplinary, non-autonomy and autonomy, non-international and international HE Institutions’ efficiency.

This study derived from an unique dataset from the Ministry of Education and Training (MOET) of Vietnam. The data set comprises financial and academic annual reports of higher education institutions (HEIs). The authors achieved totally 204 Vietnamese HEIs, and the sample for analysis is 172 after the elimination of missing units, accounting for 84.3% entire of Vietnamese HEIs. The authors estimate the efficiency scores relying on these selected inputs and outputs by using the DEA method.

Overall, HEIs in Vietnam decreased their operational efficiency during the 2012–2016. It also seems that public universities operate in the absence of market mechanism so that they tend to be less efficient than their counterparts in private sector. Based on our analysis, the authors observe that the HEIs including the international programmes have higher efficiency scores rather than these without international programmes.

This study contributes to the theoretical aspects as follows. First, it enriches the existent efficiency literature on HE using the DEA approach. This stands out among similar studies in Vietnam in terms of duration (from 2012–2016) and data size (172 entities). Second, the research is the first to examine HEIs in terms of disciplinary (mono or multi-disciplinary) and autonomy (autonomous and non-autonomous), internalization (international programmes). These aspects have been silent in previous studies of HEIs in Vietnam.