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Based on the ability, motivation and opportunity (AMO) theory, this study aims to investigate the role of digital human resources management (digital-HRM) practices in influencing hotel employee behaviors, especially their adoption of work-at-home (WAH).

The study was conducted in two stages in hotels in Vietnam. Stage 1 used a mixed method to develop an instrument to measure digital-HRM practices. In Stage 2, through a survey of 303 respondents, the research investigated digital-HRM practices’ additive and interactive effects on WAH.

The study shows that digital-HRM comprised five factors. Except for digital recruitment, the other digital-HRM practices significantly affected WAH. In addition, the research suggests that digital training and employee involvement should be combined to enhance employee willingness for WAH.

Drawing on the AMO theory, this study constructs a digital-HRM measurement scale to study the antecedents and consequences of these practices to improve employees’ digital work efficiency. In addition, through both additive and combinative (a two-way interaction) models, the study enhances the HRM and hotel management theory by understanding why digital-HRM practices are essential to boost employees’ digital competencies to adopt remote working.

By investigating the role of digital-HRM practices in improving employees’ adoption of WAH, this study provides empirical implications for hotels to manage digital-HRM practices better and thus makes remote working effective.

The existing literature reveals the lack of a deep understanding of how HRM practices can promote digital devices and services and their influence on employee behaviors, especially in the hotel sector. To the best of the authors’ knowledge, this study is unique in extending the AMO theory into the digital context to illuminate components of digital-HRM practices and clarify how digitalizing HRM practices can motivate hotel employees to accept WAH.

This paper focuses on dry port as a key notion in port-hinterland development. We first discuss the concept of dry port by reviewing existing literature. Then, we explore the reasons behind the emergence and development of inland node systems in different geographical, economic and institutional contexts. Next, the paper presents a classification of dry ports based on a multitude of factors and dimensions and the respective benefits to different parties. The study then focuses on the specific characteristics of dry ports and associated transport networks in developing countries.

In the last part, we present a case study on the dry port system in Vietnam by reviewing the seaport and inland transport system and analyzing the current status of inland terminals in Vietnam. To conclude, a SWOT analysis is presented with regard to the development of the dry port network in Vietnam, followed by recommendations for policy makers.

The research objective is rooted in the principle of providing new insights and a collective perspective regarded as Supply Chain Quality Management 4.0 (SCQM4.0), an integration of all three concepts – Industrie 4.0, quality management and supply chain management.

A thorough review of historical developments and existing integration trends among Industrie 4.0, quality and supply chain approaches along with future research directions outlined in the main literature, was conducted. This work establishes a knowledge base on research topics, issues of integration and synergies with a concentration on the potential for deeper integration with supply chain operations.

This article not only introduced the term SCQM4.0 and proposed a definition for it, but also contributed a novel conceptual SCQM4.0 framework and evolutionary perspective through the SCQM4.0 maturation model. Stemming from the gaps, opportunities and benefits identified in the literature, the conceptual SCQM4.0 framework builds on the high potential of the SCQM4.0 constructs to achieve successful governance and implementation. Under the SCQM4.0 maturity framework, it provides a clear evolutionary path underpinned by the SCQM4.0 constructs.

In the effort toward a successful SCQM4.0 implementation, the proposed SCQM4.0 maturity frameworks will be a “road map” for businesses to develop fully and actively in supply chain operations, bringing quality products and services for the company. Industry practitioners are encouraged to perform gap analysis and direct the implementation of the strategy to establish an excellent SCQM4.0.

This is one of the pioneering studies integrating all three concepts (Industrie 4.0, quality management and supply chain management), connecting the link and discovering more synergies to support the future development of more holistic management models. SCQM4.0 is expected to expand on the strengths, synergies and established relationships between technologies 4.0, quality and supply chain, contributing toward a pioneering and quality supply chain.

This paper aims to facilitate the joint assessment of issues related to the agricultural systems, i.e. agriculture, aquaculture and climate change (CC) response strategies, in the coastal districts with a panel of stakeholders; and to evaluate the level of agreement on the topics under consideration and potentially identify the most promising approaches to assessing CC affecting agricultural systems in the area and identify relevant and adequate response strategies.

Stakeholder Delphi technique – its assessment is an interactive method of qualitative research used to facilitate the interactive participation of varied and conceivably hierarchical and antagonistic stakeholder groups.

The most important result for the province is that the impact of climate change on agro-ecological landscapes (poverty and near river areas) is the duration of cold weather, more frequent and extreme. Moreover, Kendall’s W test gave a score of 0.547, which indicates a “strong” stakeholder agreement and the “confidence in ranks” being “high” in Thai Binh (Vietnam).

The scientific results in this study are intended to serve as relevant knowledge-inputs and direct contributions to capacity-building for the local partners (stakeholders and local authorities). These local partners are engaged in policy-making and effective planning and implementation of climate response measures in the districts in the province of Thai Binh.

This paper aims to examine the management status quo of archaeological heritage in Vietnam seen in the case of Vuon Chuoi, a complex of Bronze Age sites located in Central Hanoi, which has been believed to be Hanoi’s first human settlement. Like other archaeological sites located in urban areas, this site has been under threat of destruction caused by land encroachment pressure. Although researchers have long waged a campaign for preservation, the dissensus among key stakeholders and the dispute over responsibility have left this site at the heart of an interminable polemic over legislation.

This research utilises a qualitative approach, and the primary data were collected throughout multiple field trips in 2019 and 2020. Several open-ended interviews were conducted with various state and nonstate actors involved in the Vuon Chuoi Complex’s management process. The discussion was also supported by analysing related legal documents retrieved from national archives and official online directories.

This paper dissects the current legislative and administrative framework applied in governing heritage in general and archaeological sites in Vietnam, in particular. The results indicate that existing flaws in Vietnam’s legal system are detectable, and the unsystematic organisation has led to deferment of the decision-making processes. Also, there is an apparent difference found in the attitude of the bodies in charge toward the treatment of listed and unlisted sites.

This research outlines that in the wake of urbanisation and industrialisation in Vietnam, a consensus among key stakeholders and an inclusive legal system are required to help preserve archaeological sites in urgent need of attention. Although several Vietnamese laws and regulations have been put into practice, they have shown critical barriers and gaps in conserving Vietnamese cultural heritage.

This study aims to investigate the effect of digitalization on bank profitability among Vietnamese banks.

The research employs fixed-effects regression on a panel data of 32 banks in Vietnam during the period 2010–2021.

The study reveals a positive impact of digitalization on bank profitability. The result is robust to different measures and empirical settings. Not surprisingly, small banks and banks with high percentage of state ownership experience lower profitability than their peers. However, digitalization helps improve the profitability of these banks. This study explains the effect by showing that digitalization significantly reduces bank cost in terms of cost to income ratio and increases bank non-interest income through diversification into non-traditional products and services. In addition, the current stage of bank digitalization in Vietnam does not reduce banks’ employment costs since it requires staffs to support and operate the new system.

The research findings are motivations for bankers and policy-makers in designing appropriate strategies toward digitalization. Investors can also consider highly digitalized banks as valuable investment.

This research extends the current literature on the relationship between digitalization and bank profitability, with a focus on commercial banks in Vietnam. Given the high involvement of the government and the dominance of several large banks in the banking system, the study also explores whether the effect of digitalization on bank profitability varies with the bank’s size and state ownership. Last but not least, the channels in which digitalization affects bank profitability are also examined.

The goal of the study is to offer important insights into the dynamics of the cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregressive Integrated Moving Average (ARIMA). The study looks at how predictable Bitcoin price swings and market volatility will be between 2021 and 2023.

The data used in this study are the daily closing prices of Bitcoin from Jan 17th, 2021 to Dec 17th, 2023, which corresponds to a total of 1065 observations. The estimation process is run using 3 years of data (2021–2023), while the remaining (Jan 1st 2024 to Jan 17th 2024) is used for forecasting. The ARIMA-GARCH method is a robust framework for forecasting time series data with non-seasonal components. The model was selected based on the Akaike Information Criteria corrected (AICc) minimum values and maximum log-likelihood. Model adequacy was checked using plots of residuals and the Ljung–Box test.

Using the Box–Jenkins method, various AR and MA lags were tested to determine the most optimal lags. ARIMA (12,1,12) is the most appropriate model obtained from the various models using AIC. As financial time series, such as Bitcoin returns, can be volatile, an attempt is made to model this volatility using GARCH (1,1).

The study used partially processed secondary data to fit for time series analysis using the ARIMA (12,1,12)-GARCH(1,1) model and hence reliable and conclusive results.

This research aims to specialise in the investigation of risk management for service-oriented manufacturing supply chains via two stages, highlighting its differences from manufacturing. The research article is commenced by executing an encyclopedic review of earlier research to ascertain the distinctive traits of service-oriented manufacturing supply chains and identify prevalent risks. Secondly, an empirical study in the construction field, amongst the industry hardest struck in the mist of the COVID-19 epidemic, is conducted to thoroughly inspect the resonant effect of these risks on service-oriented manufacturing supply chain performance.

In this study, to validate the resonant effect mechanism, a thorough assessment is undertaken by juxtaposing theoretical model to a newly constructed comparative model that encompasses the single effects of risks on supply chain performance.

63% variance of service-oriented manufacturing supply chain performance was showcased by the resonant effect model, compared with 46.3% in the comparative model. Moreover, each risk exerts a more glaringly significant impact on supply chain performance, asserting the mechanism of the resonant influence. Another noteworthy result involves the demand risk possessing a low effect on supply chain performance, thus emphasising the superiority of service-oriented manufacturing supply chains.

Future research endeavours should hinge on the optimal “resonant” model explosion, thereby foreseeing and alleviating worst-case scenarios to guarantee the robustness and resilience of supply chain networks.

Indubitably, reducing the intensity of the resonant effect revolves around lowering the coefficient of “a,” thereby restricting/eliminating the link among risks. Therefore, the suggested resonant impact model might thus serve as “a road map”. In light of the aforementioned considerations, it is advisable that supply chain executives employ supply chain management tactics namely avoidance, prediction, and postponement, but only after meticulous consideration the costs and benefits of adopting such strategies.

The service-oriented manufacturing supply chain features and advantages have been analysed and explained throughout the article. The data gathered during the COVID-19 pandemic is a captivating and topical point of this paper.

This article aims to clarify the role of social capital and social capital inequality embedded in bank ties in enabling and diversifying new firms' debt use.

The study adopts a quantitative method, using an unbalanced longitudinal dataset covering three years–2011, 2013 and 2015–from a project on small manufacturing enterprises in Vietnam. The sample consists of 513 firm-year observations.

Network extensity and network mobilisation increase new firms' debt use. Differences in ascribed and attained social statuses (i.e. gender, generation, business association membership and political affiliation) result in social capital inequality between entrepreneurs. Entrepreneurs who are of a younger generation, have higher levels of education and are not members of the Communist Party benefit less from social capital than those who are older, have less education and are party members.

The effects of access to and the use of the social capital embedded in bank ties on new firms' debt use are both studied. The sources of social capital inequality are investigated at the individual level through distinguishing ascribed and attained social statuses and explained by two mechanisms: capital deficit and return deficit. The moderating effects of social capital inequality are also examined.