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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 paper aims to study unstructured-partial element equivalent circuit (PEEC) method for modelling electromagnetic regions with surface impedance condition (SIBC) is proposed. Two coupled circuits representations are used for solving both electric and/or magnetic effects in thin regions discretized by a finite element surface mesh. The formulation is applied in the context of low frequency problems with volumic magnetic media and coils. Non simply connected regions are treated with fundamental branch independent loop matrices coming from the circuit representation.

Because of the use of Whitney face elements, two coupled circuits representations are used for solving both electric and/or magnetic effects in thin regions discretized by a finite element surface mesh. The air is not meshed.

The new surface impedance formulation enables the modeling of volume conductive regions to efficiently simulate various devices with only a surface mesh.

The propagation effects are not taken into account in the proposed formulation.

The formulation is original and is efficient for modeling non simply connected conductive regions with the use of SIBC. The unstructured PEEC SIBC formulation has been validated in presence of volume magnetic nonconductive region and compared with a SIBC FEM approach. The computational effort is considerably reduced in comparison with volume approaches.

Drawing on scholarships of workplace romance, LGBT at work and sexual fluidity, this present research aims to investigate the effect of female sexually fluid romantic relationships at work on their work and life.

The authors used qualitative approach and interviewed 30 female workers who experienced sexual fluidity at work.

From interviews with 30 female employees in Vietnam who experience fluidity in their romance, the authors find out positive and negatives effects on their psychology at work (affective/behavioral/cognitive change and mental health), work outcome (job attitudes and performance/productivity) and relations with coworkers.

This research discovers common and distinct features in the workplace romance of female sexually fluid employees. The research finding supports queer perspective which is exerting more salient impacts on our contemporary society and workplace.

Single-party regimes increasingly use Subnational Performance Assessments (SPAs) – rankings of provinces and districts – to improve governance outcomes. SPAs assemble and publicize information on local government performance to facilitate monitoring and generate competition among officials. However, the evidence are sparse on their effects in this context. The authors argue that built-in incentive structures in centralized single-party regimes distort the positive impact of SPAs.

The staggered rollout of the Vietnam Provincial Governance and Public Administration Performance Index (PAPI) created a natural experiment. Due to 2010 budget constraints, the first iteration of the PAPI survey covered only 30 of Vietnam’s 63 provinces before covering all in 2011. The PAPI team used matching procedures to identify a statistical twin for each province before randomly selecting one from each pair. The authors use randomization inference to compare the outcomes of these control and treatment groups in 2011.

Exposure to PAPI helped improve almost all aspects of governance; however, significant evidence of prioritization bias exist. The positive effects only persisted for the dimension of administrative procedures, which was the one area of governance that was prioritized by the central government at the time. Other dimensions only registered short-term effects.

Our study provides an examination of the impact of SPAs in a single-party regime context. In addition, the authors leverage the natural experiment to identify information effects causally. The authors also look past short-term effects to compare outcomes for five years after the treatment occurred.

Customer reviews on online platforms after their service experience not only provide useful information to help other customers make reasonable decisions about the hotel, but also provide a great opportunity for scholars to refresh the research directions on customer experience and satisfaction in tourism services. This paper aims to discover the key driver of international tourist satisfaction in the hospitality service and the way to effectively improve this factor, starting with the abundant online customer reviews.

A multi-perspective approach was used to compare the differences in service providers and service user’s interpretation of the factors that shape customer satisfaction. In addition to content analysis of nearly 2,500 online reviews of international tourists for 21 high-class hotels in Vietnam on Booking.com in 2019, the authors conducted in-depth interviews with the managers of 5-star hotels to show a comprehensive picture of customer satisfaction drivers, especially the staff factor.

The research results have clarified the main aspects of the staff – the most important service factor among the seven hotel service factors investigated from the customer’s perspective. On the other hand, the study also emphasized the gap between customers’ perception of the staff and the enterprise’s efforts and implementation of this factor. These findings allowed to identify aspects of staff that could be further improved to more effectively satisfy customers and provide a superior experience.

The study suggested a potential research direction using a multi-perspective approach to better understand trends and shifts in customer experience and satisfaction. Further studies could overcome the limitation of the research scope of this paper by examining different destinations or expanding the exploration of both mid-range and budget hotels.

The findings offer implications for managers to improve tourist satisfaction by developing organizational culture and mindfulness-related training programs for employees.

This study has enriched the literature of tourism and hospitality services by providing empirical evidence on the exploitation of big data sources and deepening the insights into international tourist satisfaction with hotel services.

Unsustainable logging and illegal logging for domestic and international trade and trafficking continue to lead to deforestation. It is crucial that Sustainable Development Goal 15 ‘Sustainably manage forests, combat desertification, halt and reverse land degradation, halt biodiversity loss’ is achieved to maintain the livelihoods of people and protect the planet. This is the case in Vietnam as well, where many people, including indigenous groups, rely on the forest for their survival. Drawing on semistructured interviews in Vietnam and a literature review, we investigate how the abuse of forest policies leads to human insecurity. From this, we propose solutions to (1) end unsustainable harvesting and illegal logging (SDG 15.7), (2) integrate the value of forests (culturally and economically) into national and local planning, the development process and poverty elimination strategies (SDG 15.9) and (3) improve the use of forest protection funding provided by international donors.

In many countries, innovation in building design for improving energy performance, reducing CO2 emissions and minimizing life cycle cost has received much attention for sustainable development. This paper investigates the importance of optimization tools for enhancing the design performance in the early stages of Vietnam's cooling-dominated buildings in hot and humid climates using an integrated building design approach.

The methodology of this study exploits the non-dominated sorting genetic algorithm (NSGA-II) optimization algorithm coupled with building simulation to research a trade-off between the optimization of investment cost and energy consumption. Our approach focuses on the whole optimization problem of thermal envelope, glazing and energy systems from preliminary design phases. The methodology is then tested for a case study of a non-residential building located in Hanoi.

The results show a considerable improvement in design performance by our method compared to current building design. The optimal solutions present the trade-off between energy consumption and capital cost in the form of a Pareto front. This helps architects, engineers and investors make important decisions in the early design stages with a large view of impacts of all factors on energy performance and cost.

This is one of the original research to study integrated building design applying the simulation-based genetic optimization algorithm for cooling-dominated buildings in Vietnam. The case study in this article is for a non-residential building in the north of Vietnam but the methodology can also be applied to residential buildings and other regions.

Social commerce has brought about a significant transformation in consumer experience due to diverse factors. As a result, users often find themselves prone to impulsive buying behaviour when exposed to such an environment. Prior research was limited to demonstrating the expanding influence of celebrities on social media and the linkage between social engagement and impulse buying context. Furthermore, the impulse buying tendency of consumers on social media in the context of celebrity posts has yet to be validated. This paper aims to assess the influence of consumer awareness, consumer trust and observational learning on the latent state-trait (LST) theory regarding celebrity posts on impulse buying tendencies.

The empirical research builds on a sample survey involving 750 students from the “Big Four” economics universities in Hanoi. The proposed model was analysed using a partial least squares structural equation modelling technique.

The authors find that consumer trust and observational learning from celebrity’ posts positively affect impulse buying tendency. Yet celebrity influence awareness directly impacts trust in celebrity’ posts rather than directly impacting impulse buying tendency. Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

Perceiving the importance of interactive and authentic posts by a celebrity in influencing consumers’ purchase behaviour on social media, this research offers valuable insights for stakeholders in the digital celebrity sphere of communication and marketing.

From a theoretical perspective, this expands the applicability of the LST theory in social commerce to promote impulse buying tendencies. Second, this contributes to the literature on the emerging phenomenon of social media celebrities, as existing literature does not clarify their influence on impulse buying behaviour. Third, this research applies the concept of observational learning in online shopping through key features of social media platforms, namely, likes, shares and comments, to investigate their influence on the impulse buying tendency of consumers. Concerning managerial implications, the authors propose practical recommendations for practitioners, particularly those involved or interested in the commercial services industry and social media marketing (namely, celebrities and partner companies).

This study explores the economic impact of the COVID-19 crisis on herding behaviour in the Australian equity market by considering liquidity, government interventions and sentiment contagion.

This study utilizes a daily dataset of the top 500 stocks in the Australian market from January 2009 to December 2021. Both predictive regression and portfolio approaches are employed to consider the impact of COVID-19 on herding intention.

This study confirms that herding propensity is more pronounced at the beginning of the crisis and becomes less significant towards later phases when reverse herding is more visible. Investors herd more toward sectors with less available information on financial support from the government during the financial meltdown. Conditioning the stock liquidity, herding is only detectable during highly liquid periods and high-liquid stocks, which is more observable during the initial phases of the crisis. Further, the mood contagion from the United States (US) market to Australian market and asymmetric herding intention are evident during the pandemic.

This is the first study to shed further light on the impact of a health crisis on the trading behaviour of Australian investors, which is driven by liquidity, public information and sentiment. Notwithstanding the theoretical contributions to the prior literature, several practical implications are proposed for businesses, policymakers and investors during uncertainty periods.