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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.

Research on the sustainability outcomes of volunteer tourism (VT) in rural communities is rare. Drawing on the perspectives and theoretical concepts related to multiple forms of capital, empowerment, and sustainability, this paper presents the sustainability outcomes of VT and the role of empowerment and volunteer tourism organizations (VTOs) in attaining greater sustainability.

A total of 37 semi-structured interviews and 4 documents were conducted with stakeholders on the perceived socio-cultural impacts of VT on two farm communities in Vietnam. A qualitative thematic coding analysis was used to identify themes that explain the sustainability outcomes of VT.

The results of this study were divided into the nine themes of relationships, community resource development, job opportunities, educational effects, cultural exchanges, health, awareness of environmental conservation, physical changes, and promoting local products and tourism.

VTOs should involve the local community in the decision-making process for volunteer activities. It is essential to share their voices and concerns about how the VT is set up to ensure that they meet the community’s expectations. Moreover, the government can act as a bridge between VTOs and host communities, providing training and support services to locals after volunteers leave.

This research creates a model for connecting the sustainability outcomes of VT, empowerment, and the role of VTOs.

The purpose of this study is to enable the planning of construction projects with simultaneous consideration of time, cost and safety risks. It also aims to improve the decision-making process by evaluating the effectiveness of the Rao-2 algorithm in solving multi-objective time-cost-safety risk problems. In the end, this model is designed to support project managers in enhancing management approaches by addressing project challenges and constraints more efficiently.

In this study, the Rao-2 algorithm, along with Grey Wolf Optimization (GWO) and Whale Optimization algorithm (WOA), were improved using the crowding distance-based non-dominated sorting method. Rao-2 was first compared to GWO and WOA. Subsequently, it was compared with well-established algorithms in the literature, including genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE). The C-metric, hypervolume and spread metrics were employed for performance measurement. The performance of the algorithms was evaluated on four case studies consisting of 11, 13, 18 and 25 activities.

The results revealed that Rao-2 performs better than other algorithms as the number of activities increases, when compared using the Hypervolume, Spread and C-metric measures. In terms of performance measures, the GWO algorithm outperformed Rao-2 in some evaluation metrics for the instance involving 11 activities. However, as the number of activities grew, the Rao-2 method consistently generated higher-quality Pareto fronts and outperformed GWO and WOA in all evaluation metrics. The solutions generated by Rao-2 were also superior to those obtained from GA, PSO and DE in all case studies, further demonstrating the capability of our framework to produce a wide range of optimal solutions with high diversity across different case studies.

This research demonstrates that Rao-2 not only improves solution quality when generating Pareto fronts but also achieves better results with fewer function evaluations compared to GA, PSO and DE. The algorithm's efficiency makes it particularly well-suited for optimizing time, cost and safety risks in large-scale construction projects, which in turn positions Rao-2 as a better choice for such projects by producing superior results compared to other algorithms. By providing high-quality solutions with reduced computational demands, Rao-2 offers a faster and more resource-efficient tool for decision-making, contributing to advancements in both the theory and practice of construction project management.

The study and analysis of airport marketing strategies and the diversification of its activities through strategic alliances are essential for airports, and these should be a priority to plan and develop marketing plans in these times of uncertain economic and pandemic, because the future of the aviation and tourism industries lies in stressing the value of unity between the two sectors. This chapter shows real examples of airport marketing strategies around the world to help airport and airline operators, marketers and destination marketing organisations (DMOs) improve their marketing strategies in a competitive and environmentally sustainable market, as is the case with aviation and tourism activities. Opportunities to develop mutually beneficial relationships in cities between DMOs and airports are plentiful but often largely untapped by both parties due to miscommunication and the common interests of business operators. The marketing strategy of diversification is critical to reviving in times of economic downturn.

Building information modeling (BIM) is a popular technology in modern construction, but its implementation faces numerous difficulties, which are known as problematic issues of BIM implementation (PIBIs). This study aims to identify and analyze PIBIs based on the perceptions of practitioners in Vietnamese BIM-implemented construction contractors and similar BIM adoption-level countries.

The research is conducted in three stages. After a comprehensive literature review, PIBIs are identified and ranked based on the Delphi method and questionnaire survey. Next, interpretive structural modeling (ISM) is used to provide a hierarchy of system PIBIs. Finally, the driving and dependence power of PIBIs are determined using Fuzzy-Matrice d'Impacts Croisés-Multiplication Appliquée à un Classement (MICMAC) analysis.

This study evaluates 32 PIBIs for small and medium contractors (SMCs) and 28 PIBIs for large contractors (LCs) in Vietnam. This study also develops a systematic framework for contextual relationships and analyzes the relationships among PIBIs using ISM-Fuzzy MICMAC analysis. The results show that different standards or techniques, modeling software limitations and information management significantly impacted LCs, while a lack of senior leadership support and incompatible software affected SMCs, causing other PIBIs.

This study is among the first attempts to investigate the problematic issues emerging during the BIM implementation process at the organizational level in Vietnam as well as other developing countries. The study results could be considered valuable references for BIM practitioners. Furthermore, this knowledge can enable contractors to avoid problems while adopting BIM, thereby increasing their ability to implement BIM successfully and using critical resources more efficiently.

This research aims to introduce a novel algorithm, the Chaotic Giant Pacific Octopus Optimizer (CGPOO) and demonstrate framework includes four key aspects: time, cost, quality and safety trade-off (TCQST).

Artificial intelligence is causing a big disruption in the construction management. It is being used to building projects to enhance efficiency, safety and decision-making. This research compared the CGPOO method to those of other algorithms, such as the Chaotic Slime Mold Algorithm (CSMA), the Chaotic Salps Swarm Algorithm (CSSA) and the Chaotic Whale Optimization Algorithm (CWOA) and assessed the efficacy of the method using statistical analysis and evaluation indicators such as Hyper-volumn (HV), Spread (Sp), Computational Time (CT) and C-metric.

The analysis demonstrates that using CGPOO outperforms standalone methods chosen from the literature in terms of outcomes. It is discovered that the CGPOO solution possibilities for each factors are more efficient and beneficial than the comparison algorithms. Moreover, the CGPOO model performs better than the other algorithms with quality indices C-metric, Sp, HV and CT of 0.534, 0.531, 0.891 and 101.

The article presents a novel hybrid CGPOO that permits multi-factor trade-offs in construction management with the goal of surpassing the analyzed models and optimizing the optimal solution in the search space.

This chapter clarifies the “dark tourism” in Vietnam; a case study of Hoa Lo Prison Relic. Development orientation of “dark tourism” in Vietnam contributes to healing the wounds of war. The author mainly uses a system approach, method of analysis and synthesis, and method of comparison. “Dark tourism” in Vietnam has not really developed as a specific type of tourism like ecotourism or meetings, incentives, conferences, and exhibitions (MICE) tourism. At Hoa Lo Prison historical site, “dark tourism” has been effectively exploited: (1) in the first 6 months of 2023, Hoa Lo Prison welcomes nearly 295 thousand visitors, charging fees of 7 billion VND, the situation of “sold out” takes place regularly; (2) many unique tourism products, one of the successful and widespread tourism products must be mentioned the “night tour” experience; (3) many creative forms of sightseeing with automatic explanation system so that visitors can experience 35 historical stories in their own way; and (4) always create the best conditions for visitors’ sightseeing experience. To promote dark tourism in Vietnam, it is necessary to execute some schemes: (i) enhance the sense of responsibility for peaceful tourism in the operation of monuments; (ii) stakeholders coordinate the organization of the tour program and tourist routes with appropriate contents and forms for each target group, especially foreign tourists; (iii) there is cooperation between national and international experts in organizing the “dark tourism” program aimed at peace, preventing the risk of war and conflict, and overcoming the consequences of war; and (iv) application of scientific and technological achievements in “dark tourism” activities.

This study aims to examine how environmental, social and governance (ESG) initiatives and ISO 14001, which is an internationally agreed standard to set out the requirements for an environmental management system, affect firm performance in the context of the Industry 4.0 supply chain.

The authors develop a new chance-constrained network data envelopment analysis (DEA) in the presence of non-positive data to estimate innovation, operational and profitability performances for three main relation groups (suppliers, partners and customers) in Microsoft's supply chain.

Results of this study show the following: (1) the application of ISO 14001 will reduce profitability but increase overall performance (OP); (2) ESG implementation has a convex U-shaped influence on profitability and OP, which means that firms will benefit when ESG investment goes beyond a particular level; (3) the nonlinear U-shape is presented in the E and G components, but not in the S of the individual ESG initiatives, and (4) only specific subcomponents of S and G in the subcomponent of individual ESG initiatives are nonlinearly connected to OP. Research's results reveal that the customer group has a higher performance value than the other two groups, which suggests that this group will create competitive advantages for Microsoft.

Overall, the authors provide an insightful viewpoint into supply chain management by examining the ESG initiatives, ISO 14001 and performances of Microsoft's supply chain.

The purpose of this paper is to find out how absorptive capacity (AC), leadership capacity (LC) and government support (GS) affect small and medium enterprises (SMEs) innovation (product innovation [PDI], process innovation [PCI] and distribution channel innovation [DCI]), taking into consideration the role of innovation (PDI, PCI and DCI) on competitive advantage and SMEs performance and the moderating role of customer orientation (CO).

This study gives a theoretical model tested using structural equation modeling. The information used to test the hypotheses came from interviews with the top managers of Vietnam’s SMEs. The 633 survey respondents from the southern part of Vietnam were chosen for the study. The goal of the 47-item questionnaire is to look at how all variables relate to each other.

The results show that a firm’s LC has the most significant impact on innovation, followed by its AC and GS. According to the study, DCI does not lead to competitive advantage but improves SMEs’ performance. In addition, the study’s findings indicate that CO moderates the relationship between PDI – SMEs performance and DCI – SMEs performance.

The classification of only three types of innovation (PDI, PCI and DCI) restricted the applicability of the research to other kinds of innovation in SMEs. Second, only AC, LC and GS are identified in this study as external factors that influence business innovation. In this study, the authors have not studied different business industries; the authors recommend that the research in the back on SMEs should investigate their classification into distinct industry groups, including agricultural, forestry and marine products; industry and construction; and commerce and services.

This study shows the importance of innovation senior management for innovation in SMEs. This study found that innovation, especially continuous innovation, increased competitive advantage and SMEs performance. Companies that wish to innovate must have access to external resources and support. Moreover, enterprises must comprehend their consumers’ wants to achieve innovation and better SMEs’ performance.

This research significantly contributes to enterprise innovation and operational efficiency for the sustainable development of SMEs in Vietnam. It is expected to enhance employment opportunities, maintain social stability and expand Vietnam’s gross domestic product.

This study contributes to the growing knowledge of the indirect and direct effects, the mediating function of innovation (PDI, PCI and DCI) on competitive advantage and SMEs performance and the moderating effect of CO.

This study introduces an innovative approach to long-term economic forecasting by integrating anticipatory governance (AG) and causal layered analysis methodologies. Focussing on emerging economies, with Vietnam as a case study, we explore potential economic trajectories to 2050.

The research employs a mixed-method approach, combining quantitative economic projections with qualitative scenario building and analysis.

Our findings reveal four distinct future scenarios, ranging from low growth to transformative change. The preferred scenario, characterized by adaptive change, projects a Gross National Income (GNI) per capita of $30,684 by 2050, with significant reductions in agricultural labour and improvements in human development indicators.

This study contributes to theoretical and practical domains by demonstrating the value of integrated foresight methodologies in economic planning. It offers policymakers a comprehensive framework for navigating complex, long-term economic challenges and opportunities. This research underscores the importance of adaptive governance and systemic thinking in achieving sustainable, inclusive economic growth in an increasingly uncertain global environment.