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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Mohammad Javad Zoleykani, Hamidreza Abbasianjahromi, Saeed Banihashemi, Seyed Amir Tabadkani and Aso Hajirasouli
Extended reality (XR) is an emerging technology, with its popularity rising in different industry sectors, where its application has been recently considered in construction…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Tan Vo-Thanh, Huan Minh Nguyen, Triet Minh Nguyen, Danh Cong Pham and Hung Phuc Nguyen
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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Linh Ha Nguyen, Tam Thanh Le, Hoa Quynh Ha, Hung Viet Nguyen, Minh Tue Bui, Anh Tran Xuan Pham, Anh Quang Bui and Huong Nguyet Trieu
This research examines how bank competition and corporate social responsibility (CSR) affect the stability of Vietnamese commercial banks.
Abstract
Purpose
This research examines how bank competition and corporate social responsibility (CSR) affect the stability of Vietnamese commercial banks.
Design/methodology/approach
Utilizing data collected from 24 commercial banks spanning the period from 2015 to 2022, the paper employs the two-step system generalized method of moments (SGMM) regression method to find the impact of competition and CSR on commercial banks’ stability in Vietnam.
Findings
The key findings are (1) increased competition boosts commercial bank stability; (2) economic and environmental CSR initiatives adversely affect bank stability, while social CSR has a positive impact; (3) seven other factors are also identified to enhance bank stability, including bank size, cost management efficiency, independent management, inflation, gross domestic product (GDP) growth, monetary policy and volatility time.
Originality/value
Prior studies have not concurrently incorporated both CSR and bank competition in their investigations of bank financial stability. Specifically, the comprehensive components of CSR remain underexplored, with a predominant focus on its environmental dimension. This research stands out as one of the few endeavors scrutinizing the influence of competition and CSR on commercial bank financial stability in Vietnam, with a detailed investigation of all three components of CSR.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2024-0316
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Ba Hung Nguyen, Nhat Bao Quyen Pham and Thi Hong Ha Do
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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Hiep-Hung Pham, Thanh-Thao Thi Phan, Oanh Pham, Trung Tien Nguyen, Van-An Le Nguyen, Minh-Trang Do and Anh Tuan Nguyen
This study aims to investigate the trend of research on universities and accountability (UAA) in Southeast Asian (SEA) countries.
Abstract
Purpose
This study aims to investigate the trend of research on universities and accountability (UAA) in Southeast Asian (SEA) countries.
Design/methodology/approach
A total of 115 journal articles, conference papers, books and book chapters were obtained from the Scopus database spanning the years 1996–2023. These documents were subsequently analyzed using bibliometric methods.
Findings
The majority of UAA in SEA documents were published between 2007 and 2023 (106 documents, 92.19%). Scholars from both SEA countries and outside the region, particularly Australia, co-authored UAA in SEA documents. While scholars from Vietnam contributed the highest number of UAA in SEA publications (30 documents), scholars from Australia received the highest number of citations (878 citations). Collaboration between Vietnam and Australia emerged as the most productive partnership in conducting studies on UAA in SEA. Additionally, UAA in SEA documents were published not only in education-related outlets but also in other sectors, particularly in public policy. Furthermore, studies on UAA in different countries exhibited both similar and dissimilar interest keywords.
Originality/value
This study represents the first bibliometric analysis focusing on UAA in SEA literature. The insights and implications derived from this study are valuable for future researchers, university leaders and policymakers.
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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…
Abstract
Purpose
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.
Design/methodology/approach
A literature survey.
Findings
While there are many useful applications of SFA to econometrics, there are also many important open problems.
Originality/value
This is the first survey of SFA in econometrics that emphasizes important issues and techniques such as copulas.
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Ngoc Luu, Le Nguyen Hau, Liem Viet Ngo, Tania Bucic and Pham Hung Cuong
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
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.
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Siqi Liu and Junzhi Jia
Exploring diverse knowledge organization systems and metadata schemes in linked data, aiming to promote vocabulary usability and high-quality linked data creation within the LIS…
Abstract
Purpose
Exploring diverse knowledge organization systems and metadata schemes in linked data, aiming to promote vocabulary usability and high-quality linked data creation within the LIS field.
Design/methodology/approach
We used content analysis to select 77 articles from 13 library and information science journals around our research theme. We identified four dimensions: vocabularies participation, reuse, functions, and naming variations in linked data.
Findings
The vocabulary comprises seven main categories and their corresponding 126 vocabularies, which participate in linked data in single, two, and multiple dimensions. These vocabularies are used in the eight LIS subfields. Reusing vocabularies has become integral to linked data publishing, with six categories and their corresponding 66 vocabularies being reused. Ontologies are the most engaged and widely reused category of vocabulary in linked data practice. The mutual support among the three major categories and seven subfunctions of vocabulary promotes the sustainable development of linked data. Under a combination of factors, the phenomenon of terminology name changes and cross-usage between “vocabulary” and “ontology.”
Research limitations/implications
This study has limitations. Although 77 articles on the topic of vocabularies applied in linked data were analyzed and presented with quantitative statistics and visualizations, the exploration of the topic tends to be a practical activity, with limited presence in scholarly articles. Moreover, this study’s analysis of the practical applications of linked data is relatively limited, and the sample literature focused on articles published in English, which may have affected the diversity and inclusiveness of the research sample.
Practical implications
Practically, this study does not confine the application of content analysis solely to the traditional exploration of knowledge organization topics, development trends, or course content. Instead, it integrates the dual perspectives of linked data and vocabularies, employing content analysis to analyze and objectively reveal the application issues of vocabularies in linked data. The conclusions can provide specific guidelines for future applications of vocabularies in the LIS subfields and contribute to promoting interoperability of vocabularies.
Social implications
This research explores the relationship between linked data and vocabularies, highlighting the diverse manifestations and challenges of vocabularies in linked data. It provides theoretical references for the construction and further development of vocabularies considering technologies such as linked data, drawing attention to the potential and existing issues associated with linked open data vocabularies.
Originality/value
This study extends the application of content analysis to exploring vocabularies, especially Knowledge Organization Systems and metadata schemes in the LIS field linked data, highlighting the mutually beneficial interactions between linked data and vocabularies. It provides guidance for future vocabularies applications in the LIS field and offers insights into vocabularies construction and the healthy development of linked data ecosystems in the era of information technology.