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This paper aims to study a dynamic post-disaster emergency planning (PDEP) problem in an integrated network through the investigation of the selection of shelters, medical centers and distribution centers (DCs), and the allocation of evacuees and injured people. The resource and people assignment in multiple periods are considered.

A mathematical formulation is provided for the PDEP problem. The authors decompose the model into two sub-models as follows: the primary model is an integer programming model and the subproblem is a nonlinear programming model with continuous variables. The simulated annealing is used to solve the primary problem, and particle swarm optimization (PSO) mixed with beetle antennae search (BAS) is used to solve the subproblem.

The paper finds that BAS can increase the stability of PSO and keep the advantages of PSO’s rapid convergence. By implementing these algorithms on emergency planning after the Wenchuan earthquake that happened in China in 2008, this paper finds that the priority of different levels of injured people is influenced by several factors. Even within the same disaster, the priority of different levels of injured can be inconsistent because of the differences in resource levels.

The authors integrate the shelters, medical centers and DCs as a system, and simultaneously, consider evacuees and injured people and different resource assignments. The authors divide the injured people into three levels and use survival rate function to simulate the survival conditions of different people. The authors provide an improved PSO algorithm to solve the problem.

This paper aims to study the pricing problems on the two-sided market for cases of monopoly and duopoly competition, specifically investigating the impact of platform service quality on the market. Theoretical analysis and computational studies are conducted to investigate the impact of different parameters on the system outcomes.

Mathematical formulations are proposed for cases of monopoly and duopoly competition. For monopolistic market, the optimal pricing and service quality strategies are obtained using mathematical programming method. For duopolistic market, the equilibrium outcomes are derived by game theory. Sensitivity analysis and numerical studies are also adopted to investigate the impact of different parameters.

For monopolistic market, the platform will provide a low service quality when the service cost parameter is large. However, when the cost parameter is small, the platform provides a higher service quality and higher registration prices. Furthermore, the sum of the optimal prices is proportional to the service quality and inversely proportional to the user price sensitivity. For duopolistic market, the competitive equilibrium prices exist under a certain condition. The determinants of equilibrium prices are the gap between the service qualities of two platforms and the cross-group externalities.

For monopolistic market, this paper specifies the role of platform service quality in determining the platform’s pricing strategy. For duopolistic market, this paper presents a market sharing mechanism between two platforms and explores the equilibrium pricing strategies for platforms with different service quality level.

An increased globalisation pushes forward the study of international entrepreneurship that however has been mainly analysed at a macro-environmental and an individual level. The authors want instead identify the determinants of international entrepreneurship from a firm-level perspective, specifically in relation to the key decision-making entity – the board of directors. The authors focused on the overall composition of the board of directors in terms of gender diversity and how this affects multi-subject decision-making when it comes to international entrepreneurship.

Based on entrepreneurial decision-making and the neo-institutional theory, the authors analyse the relationship between gender diversity in boards of directors and firms' international entrepreneurship, assessing how state ownership and ownership concentration moderate this relationship. Using a sample made up of China's listed companies from 2009 to 2018, the authors empirically test the main effect and the moderating effects.

International entrepreneurship is less prevalent in firms with more female directors, but in terms of quality of the decisions, these boards perform better. State ownership and ownership concentration can strengthen and weaken the relationship between the presence of female directors and the intensity of international entrepreneurship, respectively.

Firstly, the authors draw attention to the implications of gender diversity in boards of directors, calling for further studies on communication and collaboration patterns within multi-subject decision-making. Secondly, the authors’ conclusions enrich academic literature on female directors by exploring the roles they play in firms' decision-making when it comes to international entrepreneurship.

Studies of Tianhou-Mazu cult have been focused on three themes: studies in Taiwan emphasize hegemonic order; studies in Hong Kong reveal a relationship of “sisterhood” alliances; and studies in Singapore highlight the important role of ethnic groups. The rebuilding of the goddess’s ancestral temple in early 1980s and her acquiring a world intangible cultural heritage status in the early twenty-first century facilitate the redefinition of overseas Chinese’s religious affiliation. The purpose of this paper is to discuss this global development of the cult from the 1980s and its ritual implication in overseas Chinese communities.

This paper, by comparing the Tianhou-Mazu cult in Taiwan, Hong Kong and Southeast Asian Chinese settlements, argues that from sisters to descended replicas, or from local alliances to global hegemony, the cult of Tianhou-Mazu since the 1980s has not only replaced local culture with an emphasis on “high culture,” but also represents a religious strategy regarding local people’s interpretation of correctness and authority.

This paper argues that despite the imposition of hegemonic power from various authorities, popular religion is a matter of choice. This reflects how local religious practice is construed according to the interpretation of global cultural languages by the elite Chinese; their decision of when and how to reconnect with the goddess’s ancestral temple or the “imperial state,” or to form alliances with other local communities; and the implementation of the local government’s cultural policy.

This paper is one of the few attempts comparing development of a folk cult in various communities.

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.

This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.

The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.

This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.

This paper aims to discuss the effects of COVID-19 on hotel marketing and management practices and outlines a three-pronged research agenda to stimulate knowledge development in the hotel sector.

This paper is based on an overview of the relevant literature on hotel marketing and management and the hotel guest behavior. The authors also investigated hospitality service trends to propose a research agenda.

This paper presents a research agenda from three dimensions – artificial intelligence (AI) and robotics, hygiene and cleanliness and health and health care. First, different types of AI (mechanical, thinking and feeling) might open up distinct research streams at the intersection of health crises and hotel management, in light of the COVID-19 pandemic. Additionally, this paper recommends that researchers move beyond typical perspectives on the antecedents and outcomes of hotel hygiene and cleanliness to delve into guests’ perceptions of the cleanliness of specific hotel surfaces. Furthermore, a more in-depth analysis is warranted about the evolving relationship between hotels and the health-care sector.

The recommended research areas are intended to advance the knowledge base to help hotels recover from the COVID-19 pandemic. The suggested research streams are expected to provide actionable insights to promote the development and sustainability of the hotel sector.

This paper appears to be a frontier study, critically examining possible effects of the COVID-19 pandemic on hotel marketing and management practices and how hoteliers may respond to such challenges to recover after this pandemic.

This paper aims to improve the seismic building design (SBD) work process for Malaysian Government projects.

Semi-structured interviews were virtually conducted to a small sample size of internal and external stakeholders from the Malaysian Government technical agency. There were seven of them, comprising Structural Engineers, an Architect, a Quantity Surveyor and consultants-linked government projects. The respondents have at least five years of experience in building design and construction.

The paper evaluates the current SBD work process in the government technical agency. There were four main elements that appear to need to be improved, specifically in the design stage: limitations in visualization, variation of works, data management and coordination.

This study was limited to Malaysian Government building projects and covered a small sample size. Therefore, further research is recommended to extend to other government agencies or ministries to obtain better results. Furthermore, the findings and proposal for improvements to the SBD work process can also be replicated for other similar disasters resilience projects.

The findings and proposal for improvements to the SBD work process can also be replicated for other similar disasters resilience projects.

This study was limited to government building projects and covered a small sample size. Therefore, further research is recommended to extend to other government agencies or ministries to obtain better results. Furthermore, the findings and proposal for improvements to the SBD work process can also be replicated for other similar disasters resilience projects.

This study provides an initial step to introduce the potential of building information modeling for SBD in implementing Malaysian Government projects. It will be beneficial both pre-and post-disaster and is a significant step toward a resilient infrastructure and community.