A retrospective study of knowledge management for integrated resorts (IRs) crisis preparedness

PurposeThis study aims to propose a systematic knowledge management model to explore the causal links leading to the organizational crisis preparedness (OCP) level of integrated resorts (IRs) during the COVID-19 pandemic based on the intangible capital of organizational climate, dynamic capability, substantive capability and commitment.Design/methodology/approachThe authors use data obtained from IRs in Macau. The Wuli–Shili–Renli (WSR) approach underpins the study. Structural equation modeling following fuzzy-set qualitative comparative analysis (fsQCA) was used for data processing.FindingsThe results showed that organizational climate has an essential role in IRs preparedness for crises and affects their dynamic capacity, substantive capacity and commitment. The fsQCA results revealed that the relationships between conditions with a higher level of dynamic and substantive capability lead to higher OCP scores.Practical implicationsExecutives should develop systemic thinking regarding organization preparedness in IRs for crisis management. A comprehensive understanding of the IRs' business environment and crises is necessary, as they will require different factor constellations to allow the organization to perform well in a crisis. Financial support for employees could ensure their assistance when dealing with such situations. Rapid response teams should be set up for daily operations and marketing implementation of each level of the IRs management systems.Originality/valueThis study contributes to the extant literature on IRs crisis management in the OCP aspect. The authors constructed a systematic composite picture of organization executives' knowledge management through the three layers of intangible capitals in WSR. Moreover, the authors explored causal links of WSR from symmetric and asymmetric perspectives.

The digital economy enables high-quality cultural tourism integration:mechanisms, channels, and empirical evidence

Following the rapid scientific and technological development in this new era of global industrial transformation, the tourism industry has overcome the severe challenges of the COVID-19 pandemic by taking advantage of new development opportunities. Digital technologies, such as big data, cloud computing, artificial intelligence, and fifth-generation mobile communications have released the huge potential for promoting the development of the high-quality cultural tourism integration. Scholars have explored the benefits of developing and improving the quality of cultural tourism integration in addition to how the digital economy can promote the development of cultural tourism integration. Most existing research has regarded the digital economy as a means to promote the development of cultural tourism integration;however, there is relatively little systematic research on the logical mechanism, transmission channels, and practical paths that enable the high-quality development of cultural tourism integration. Therefore, this paper systematically explores the logical mechanism, direct effects, and transmission mechanisms in the digital economy that promote the development of high-quality cultural tourism integration. The study findings open up the "black box"of developing high-quality cultural tourism integration and help to establish its scientific basis in the digital economy. Based on a systematic explanation of how the digital economy enables the high-quality development and transmission of cultural tourism integration through organizational, technological, and product innovation channels, this paper conducts empirical testing using 2011-2020 panel data from 30 Chinese provinces (excluding Tibet, Hong Kong, Macao, and Taiwan of Chian) and obtains three main findings. First, the digital economy has a positive enabling effect on the development of high-quality cultural tourism integration, which has been verified in benchmark regression, instrumental variable regression, and robustness testing. Second, this enabling effect shows regional differences. For example, East China benefits from its relatively well-developed digital economy and can enjoy the dividends from its high-quality cultural tourism destinations. However, although West China has seen rapid growth in its digital economy, the region also shows a trend of increasing marginal effects from its enabling effect, while the digital economy's enabling trend in Central China still needs to be strengthened. Third, by constructing a transmission channel, that is, "digital economy-organization-technology-product innovation-developmental quality of cultural tourism integration", we find that the digital economy can positively promote the development of high-quality cultural tourism integration by regulating transmission channels for innovation, such as organizational, technological, and product innovation. According to the research conclusions, measures to promote the development of high-quality cultural tourism integration in the digital economy should be taken in the following four areas. First, local governments and cultural tourism departments should deepen their development strategies to integrate the digital economy with the real economy and systematically cultivate new drivers for the development of high-quality cultural tourism integration. Second, a digital cultural tourism platform should be built to optimize the value creation mechanism for the development of high-quality cultural tourism integration. Third, regional heterogeneity characteristics should be combined with the digital economy's enabling effect to implement a differentiated digital cultural tourism development strategy. Fourth, organizational, technological, and product innovation advantages should be cultivated to expand the transmission channels for the development of high-quality cultural tourism integration within the digital economy.

Heterologous vaccination with inactivated vaccine and mRNA vaccine augments antibodies against both spike and nucleocapsid proteins of SARS-CoV-2: a local study in Macao.

The mRNA vaccines (RVs) can reduce the severity and mortality of severe acute respiratory syndrome coronavirus (SARS-CoV-2). However, almost only the inactivated vaccines (IVs) but no RVs had been used in mainland China until most recently, and the relaxing of its anti-pandemic strategies in December 2022 increased concerns about new outbreaks. In comparison, many of the citizens in Macao Special Administrative Region of China received three doses of IV (3IV) or RV (3RV), or 2 doses of IV plus one booster of RV (2IV+1RV). By the end of 2022, we recruited 147 participants with various vaccinations in Macao and detected antibodies (Abs) against the spike (S) protein and nucleocapsid (N) protein of the virus as well as neutralizing antibodies (NAb) in their serum. We observed that the level of anti-S Ab or NAb was similarly high with both 3RV and 2IV+1RV but lower with 3IV. In contrast, the level of anti-N Ab was the highest with 3IV like that in convalescents, intermediate with 2IV+1RV, and the lowest with 3RV. Whereas no significant differences in the basal levels of cytokines related to T-cell activation were observed among the various vaccination groups before and after the boosters. No vaccinees reported severe adverse events. Since Macao took one of the most stringent non-pharmaceutical interventions in the world, this study possesses much higher confidence in the vaccination results than many other studies from highly infected regions. Our findings suggest that the heterologous vaccination 2IV+1RV outperforms the homologous vaccinations 3IV and 3RV as it induces not only anti-S Ab (to the level as with 3RV) but also anti-N antibodies (via the IV). It combines the advantages of both RV (to block the viral entry) and IV (to also intervene the subsequent pathological processes such as intracellular viral replication and interference with the signal transduction and hence the biological functions of host cells).

Investigating the Relationship between Users' Behavioral Intentions and Learning Effects of VR System for Sustainable Tourism Development

Macao is a tourist city. It is home to the Ruins of Saint Paul's, a unique 100-year-old landmark, which is still standing with manual maintenance, even after three fires and reconstruction events. Therefore, the continuous preservation of its culture, heritage education, and construction are important issues for Macao. With the development of digital technology in recent years, users can quickly search historical sites and save two-dimensional and three-dimensional images and videos through smartphones. These methods also enhance the communication power of culture. Virtual browsing on a smartphone requires computing power and storage space;yet, virtual reality devices are not widely used. Therefore, augmented reality and virtual reality are rarely used simultaneously for three-dimensional interactive guided tours and operation experiences on the same theme. However, by quickly creating virtual reality scenarios and preserving historical sites on mobile devices, 4DAGE's 4DKanKan technology can provide augmented reality and metaverse virtual reality experiences. 4DKanKan can also integrate mobile guides and navigation software to connect mobile devices and assist in cultural inheritance and conduct sustainable education. This research linked this technology to the web by incorporating augmented reality and virtual reality technology to make designs and discussed the influences among service design, behavioral intentions, and learning effects. We collated and analyzed relevant data and text materials through systematic testing, observation, operation processes, and semi-structured interviews. The PLS multigroup structural model was used to explore and analyze the degree of influence and explanatory power of system quality, information quality, behavioral intention, and learning effects among themselves. The results of this study show that most users accepted the proposed innovative mode of operation and found it to be interesting and fun. Augmented reality is not limited by space or time;however, virtual reality devices taking too long to operate, switching too frequently, and having too many functional interfaces can cause operational problems. This study identified and modified the influencing factors and problems of the proposed system, with the aim of continuing to expand the applications of 4DKanKan to other cultural attractions or museums in the future. In addition, the research results can provide a reference for the sustainable development of related cultural sites.

Estimating the number of undetected COVID-19 cases among travellers from mainland China [version 1, peer review: awaiting peer review]

Background: Since the start of the COVID-19 epidemic in late 2019, there have been more than 152 affected regions and countries with over 110,000 confirmed cases outside mainland China. Methods: We analysed COVID-19 cases among travellers from mainland China to different regions and countries, comparing the region- and country-specific rates of detected and confirmed cases per flight volume to estimate the relative sensitivity of surveillance in different regions and countries. Results: Although travel restrictions from Wuhan City and other cities across China may have reduced the absolute number of travellers to and from China, we estimated that more than two thirds (70%, 95% CI: 54% - 80%, compared to Singapore;75%, 95% CI: 66% - 82%, compared to multiple countries) of cases exported from mainland China have remained undetected. Conclusions: These undetected cases potentially resulted in multiple chains of human-to-human transmission outside mainland China.

Just-in-time CSR for urgent needs during the COVID-19 outbreak: the case of casinos. (Special Issue: Tourism recovery under COVID-19: Experiences from China.)

The casino industry may have been stigmatized by its notorious image due to the negative consequences that gambling brings. Yet, they are at the forefront in combating the pandemic, taking a proactive stand to expedite corporate social responsibility (CSR) through a constellation of means in a timely manner. Moreover, the majority of research focuses on the long-term strategic CSR, leaving ad-hoc CSR initiatives that are responsive without previous planning underexplored. Proactive and prompt CSR efforts exerted by casino conglomerates hence offer researchers a case in better understanding this rarely researched area pertaining to just-in-time CSR amid a mega turbulence. Based on data collected from casino websites, social media, and other public media, we have organized their initiatives into themes germane to safeguarding their personnel and guests, giving encouragement to the society, contributing to financial charities as well as daily necessities and protective supplies, promoting safety and better quality of life during the pandemic, and more. These endeavors do make a real difference in saving lives as well as uniting the community to build up resilience to mitigate the aftermath of the crisis. These expedited CSR efforts render a new phenomenon that we refer as just-in-time CSR.

Talent management in hospitality during the COVID-19 pandemic in Macao: a contingency approach

Purpose: This study aims to examine talent management (TM) in the hospitality industry in Macao during COVID-19. It deploys a contingency theory perspective (Luthans and Stewart, 1977) to illuminate the heightened uncertainties and challenges talent managers faced during the pandemic and the urgent adaptations to TM practices they embraced in response. Design/methodology/approach: Adopting a phenomenological approach, this study analyzed data collected through semi-structured interviews conducted with a representative sample of 20 hotel managers in Macao. Findings: Managers reported four major categories of COVID-19-induced challenges and a corresponding set of contingent TM practices. The four contingent TM practices were found to contribute to the shaping of the next new normal in TM in hospitality and included the following: Contingent TM planning;contingent TM deployment and replacement;talent training and development under contingent arrangements;and changed "talent” attitude and practices in recruitment and retention. Research limitations/implications: The findings are limited to the geographical and industry context of the study. This study should be refined with larger samples. Practical implications: This study provides a useful framework for guiding professionals on how to manage talent during turmoil periods. It also contributes toward understanding the shifting meaning of talent and TM in hospitality. Originality/value: This study demonstrates the applicability of contingency theory in managing hospitality talent during turbulent times, which extends TM knowledge and enriches the contingency theory. The findings also facilitate our understanding on how contingent TM practices create processes that lead in setting the new normal. © 2023, Emerald Publishing Limited.

Decoding domestic tourism customers' emotional responses to COVID-19: a segmentation approach. (Special Issue: Tourism recovery under COVID-19: Experiences from China.)

Tourists' emotional responses to crises have been conceived from a unitary perspective despite the potential existence of different segments of emotional reactions. Using data from 412 residents drawn from Macau, this study segments their emotional responses toward the COVID-19 pandemic, characterizes the segments by their perceived travel risk and future travel intentions. The findings reveal that there are three segments of residents' emotional responses to the COVID-19 pandemic, namely deeply depressed, depressed, and phlegmatic. The deeply depressed have strong negative sentiments toward the pandemic with the highest perceived travel risk and least desire to travel in the future. The depressed have moderate negative emotions toward the pandemic with moderate perceived travel risk and desire to travel in the future while the phlegmatic have indifferent positive and negative emotions toward the pandemic with the least perceived travel risk and highest desire to travel in the future. The implications of these findings with regard to how to restart tourism with the domestic tourism market are discussed.

Predicting pharmacist intention to contributing to COVID-19 management: A cross-sectional survey study

Background: Pharmacists have a key role to play in responding to public health emergencies such as the COVID-19 pandemic. However, few studies have sought to evaluate their intention to contributing to the outbreak management. Purpose(s): This study used the theory of planned behaviour (TPB) to investigate pharmacists' intention to practice the FIP COVID-19 recommendations and to explore possible enablers that support such practice. Method(s): A cross-sectional, self-administered survey was distributed to pharmacists in Macau in May 2020. Cronbach's alpha was used to test the reliability for the four TPB constructs (attitude, subjective norm (SN), perceived behavioral control (PBC), and intention). Multiple linear regressions were conducted to predict intention using the other three TPB constructs Results: Pharmacists (n=110) had a positive intention to contributing to COVID-19 management (mean=4.21+/-0.60). Attitude (beta=0.547, p=0.000), SN (beta=0.177, p=0.050) and PBC (beta=0.158, p=0.027) were significant predictors of intention, accounting for 60.2% of the variance in their intention to practice. Scale reliability ranged from 0.838 to 0.948 for the four constructs. The difference between past behaviours and intentions was statistically significant (p=0.000). Important enablers to support the practice included training (mean= 4.26+/-0.57), better communication with stakeholders (mean=4.17+/-0.61) and improved pharmacy management (mean=4.18+/-0.60). Conclusion(s): Pharmacists showed favourable attitude, SN, PBC and intention to contributing to COVID19 management. Actions to enhance training, stakeholder communication and pharmacy management are important to increasing their willingness to take part in public health emergency alike in the future.

The "City-Suburb" Tourist Flow Network Structure Characteristics in the Guangdong-Hong Kong-Macao Greater Bay Area in the Post-Pandemic Era: Analysis Based on the Network Digital Footprint

To explore the movement of "city-suburb" tourism flow in the post-pandemic period, this study examines the tourist flow network of the Guangdong-Hong Kong-Macao Greater Bay Area from 2018 to 2021 based on online travel data. After screening and deduplication, 4882 valid travelogues were chosen and divided into pre-pandemic data (3, 967 articles) and post-pandemic data (915 articles) using November 2019 as the dividing line. A total of 4, 461 attractions on Ctrip. com were selected to build a scenic spot database of the Guangdong-Hong Kong-Macao Greater Bay Area, including the full names, aliases (common names), and city names of scenic spots. After matching the travelogues with the scenic spots in the attraction database, it was found that 1848 attractions appeared in the travel notes, and the top 300 attractions were chosen for the generation of tourism routes according to the number of matches. After converting travel routes to a directed connectivity matrix and the following dichotomization procedure, a social network analysis (SNA) was conducted to investigate the distribution of tourism flows and preferences in the Greater Bay Area. Using the SNA software Ucinet 6.0, the network density, centrality, and relevant metrics of the structural holes and cohesive subgroups were calculated. The node characteristics and network structure were analyzed, and the distribution characteristics of attractions and tourist intention trends in the Greater Bay Area were obtained. The study results indicate the following: 1) The tourism network density of the Greater Bay Area has decreased substantially since the COVID-19 outbreak. Megacities, especially overseas cities, were more affected by the pandemic. Tourism network connectivity and aggregation effects were severely weakened, and the network structure was more scattered and fragmented. 2) After the pandemic, the "core-periphery" structure of tourism networks weakened, and the boundaries between core and periphery areas blurred. Some suburban and rural scenic spots have become new core areas and their importance in the network has been significantly enhanced. 3) After the pandemic, the connectivity and control power of traditional core urban nodes, such as Hong Kong, Zhuhai, Macao, and Guangzhou, weakened. The cohesive subgroups of scenic points show a high cohesion of Guangzhou with cities on the west side of the Pearl River Estuary, such as Foshan, Zhuhai, and Macao, before the pandemic. After the pandemic, the cohesive subgroup of rural attractions was strengthened and tourism showed a development trend of multi-point and ruralization. 5) The tourism network has changed from the three-core development mode of Guangzhou-Hong Kong-Macao before the pandemic to the "four-wheel drive" mode of Guangzhou-Macao-Shenzhen-Foshan after the outbreak with the declined linkage of the Hong Kong-Zhuhai-Macao Bridge in the network. It is believed that travel mobility restrictions and tourism drivers are two-way driving forces for the structural change in tourism in the post-pandemic period. The Greater Bay Area's tourist flow network presents a two-loop structure with two-way dynamics owing to some pandemic factors, and may gradually show a decentralized and scattered development trend. Based on network analysis, it is proposed that more efforts be made to integrate city-suburb-countryside resources in the post-pandemic period. © 2022 Editorial Committee of Tropical Geography. All rights reserved.

A Qualitative Study on the Model of Factors Influencing Online Interactivity and Student Learning Engagement in the Post-Pandemic Era

In the post-pandemic era, online education model has become the new standard in the field of higher education, the interactivity and student learning engagement in online classrooms in higher education has become a major concern for scholars. Using thematic analysis in qualitative research, this study conducted in-depth interviews with respondents to understand the status of interactive strategies used by instructors and students ' learning engagement during online learning in higher education institutions in Macao, and to explore other factors that influence interactivity and students ' online classroom engagement. Through coding and analysis of interview data, this study found that information technology factors in online classroom instruction in the post-pandemic era affect students' online learning motivation, self-control ability, and formative assessment in the online classroom. Also, online formative assessment, students ' online learning motivation, and their self-control ability could influence students' online learning engagement. Based on the findings of the study, this paper proposes recommendations for improving classroom interactivity and student learning engagement in online higher education in the post-pandemic era.

A study on the evolution of economic patterns and urban network system in Guangdong-Hong Kong-Macao greater bay area.

The COVID-19 pandemic has seriously affected China's macroeconomy, industrial transformation, and high-quality development. Research on economic patterns and urban network systems can provide a reference for healthy development of the regional economic system. The evolution of the economic pattern and urban network system of Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2010 to 2020 is investigated using methods (e.g., the gravity center model, the gravitational force model, social network analysis, and geographic information system). (1) The gravity center of gross domestic product (GDP) of the GBA is located in Nansha district, Guangzhou, with a skewing direction northwest-east-northwest and a movement rate of "large-small-large." The center of import and export and the center of consumption show a "zigzagging migration" in which the center of investment shows an "irregular (random) migration". (2) The economic connection degree of cities in the GBA exhibits a high ascending velocity, and the whole area tends to be mature, with a significant effect of spatial proximity. With the steady increase in network density, there is significant polarization of network centrality in the region. The four major cohesive subgroups have been relatively stable and consistent with the degree of geographic proximity of the cities. The center-periphery structure is more significant, in which the core area is extended to the cities on the east coast of the Pearl River Estuary, thus forming the core cluster of "Hong Kong-Shenzhen-Guangzhou-Dongguan." In this study, the evolution of economic patterns and urban network systems in the GBA over the past decade is analyzed using multiple methods (i.e., gravity model, urban network system analysis, and geographic information system) based on urban socioeconomic data by starting from various spatial elements (e.g., "points, lines, and networks") to gain insights into and optimize research on regional economic development after the COVID-19 pandemic.

Parents' intention for their children to receive COVID-19 vaccine: Implications for vaccination program in Macao.

Introduction: The decision about vaccinating children is subject to their parents' decision. To inform strategies that support full vaccination coverage, it is important to understand the parents' vaccination attitude and tendency to act. This study aims to investigate the intention and the factors affecting parents' decision-making about vaccinating their children. Methods: A cross-sectional, self-administered online questionnaire was completed by parents of children aged 3-12 yeas in Macao between 7 March and 17 April 2022. The survey tool was informed by the Theory of Planned Behavior (TPB) which composes of the variable "intention" and three TPB constructs (Attitude, Subjective Norm, and Perceived Behavioral Control). Respondents rated their level of agreement on the construct statements using a 5-point Likert scale. Multiple linear regression analysis was used to determine if the TPB constructs were predictors of parents' intention. Results: A total of 1,217 parents completed the questionnaire. The majority of participants were mothers (83.2%), aged 31-40 years (62.7%), having two or more children (74.1%), had at least one dose of COVID-19 vaccine (84.4%) and considered themselves knowledgeable about the vaccine (62.1%), all of which were significantly associated with the intention to vaccinate their children (all p < 0.05). Their intention varied from negative (19.1%), neutral (38.4%) to positive (42.5%). Respondents were mostly concerned about the serious side effects that the COVID-19 vaccine (mean = 3.96 ± 1.23), highly acknowledged the expectation by the school (mean = 3.94 ± 1.15) and the community (mean = 3.90 ± 1.19) of children vaccination, and rated highly the ease of making necessary arrangement (mean = 3.93 ± 1.25). In the multiple linear regression model which explained 63.5% of the variance in the intention-to-vaccinate their children, only Attitude (B = 0.52, p < 0.001) and Subjective Norm (B = 0.39, p < 0.001) were identified as strong predictors. The major reasons for not having intention were safety concerns (n = 646/699, 92.4%). Participants' most trusted local information sources were doctors (n = 682), government (n = 426) and healthcare professional organizations (n = 416). Conclusions: Vaccinating children with COVID-19 vaccine is a complex decision-making for parents. A key to a successful COVID-19 vaccination program is effective communication about the safety profile and the usage experiences warranting the integration of reliable information sources across different healthcare sectors.

The backbone symptoms of depression: a network analysis after the initial wave of the COVID-19 pandemic in Macao.

Background: The coronavirus disease 2019 (COVID-19) pandemic disrupted the working lives of Macau residents, possibly leading to mental health issues such as depression. The pandemic served as the context for this investigation of the network structure of depressive symptoms in a community sample. This study aimed to identify the backbone symptoms of depression and to propose an intervention target. Methods: This study recruited a convenience sample of 975 Macao residents between 20th August and 9th November 2020. In an electronic survey, depressive symptoms were assessed with the Patient Health Questionnaire-9 (PHQ-9). Symptom relationships and centrality indices were identified using directed and undirected network estimation methods. The undirected network was constructed using the extended Bayesian information criterion (EBIC) model, and the directed network was constructed using the Triangulated Maximally Filtered Graph (TMFG) method. The stability of the centrality indices was evaluated by a case-dropping bootstrap procedure. Wilcoxon signed rank tests of the centrality indices were used to assess whether the network structure was invariant between age and gender groups. Results: Loss of energy, psychomotor problems, and guilt feelings were the symptoms with the highest centrality indices, indicating that these three symptoms were backbone symptoms of depression. The directed graph showed that loss of energy had the highest number of outward projections to other symptoms. The network structure remained stable after randomly dropping 50% of the study sample, and the network structure was invariant by age and gender groups. Conclusion: Loss of energy, psychomotor problems and guilt feelings constituted the three backbone symptoms during the pandemic. Based on centrality and relative influence, loss of energy could be targeted by increasing opportunities for physical activity.

Job Stress during the COVID-19 Pandemic amongst Social Workers: A Comparison between Chinese Mainland and Macao

The COVID-19 pandemic may have resulted in front line social workers experiencing job stress, burnout and other psychological distress. Little is known about the work-related stress experienced by Chinese social workers during the pandemic. This study focused on the job stress of social workers from Mainland and Macao. The research aims of this study included: (1) testing whether there is a difference in job stress between social workers from Mainland and Macao during the pandemic and (2) identifying mediating factors that helped explain such regional differences. An online survey collected data from 292 social workers in Mainland China and 108 from Macao in 2020. Mainland participants reported significantly higher job stress than Macao participants. Regional differences in job stress amongst Mainland and Macao social workers were partially attributed to their age and professional role identity. More attention needs to be paid to social workers in Mainland China as they experience higher job stress than their counterparts from Macao. Future research is needed to examine other factors (e.g. job demand and financial compensation) that may contribute to such regional differences. This article studied the job stress of social workers, during COVID-19, in two different Chinese regions. A survey collected data from 292 social workers in Mainland China and 108 social workers in Macao in 2020. The findings showed that the Mainland social workers reported higher job stress than their Macao counterparts. Regional differences in job stress were partially attributed to their age and professional role identity. Future research is needed to examine other factors (e.g. job demand and financial compensation) that may contribute to such regional differences.

Convergence Evaluation of Sports and Tourism Industries in Urban Agglomeration of Guangdong–Hong Kong–Macao Greater Bay Area and Its Spatial-Temporal Evolution

The convergence of sports and tourism industries is a vital direction for the coordinated development of industries, and a vital means to build a quality life circle suitable for living, working and traveling in the urban agglomeration of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). By using the coupling coordination degree model and exploratory spatial data analysis and establishing an evaluating indicator system for the converged development of sports and tourism industries, this paper measures and analyzes the convergence development level, spatial-temporal evolution, and spatial correlation of the two industries in 11 cities of GBA from 2011 to 2020. The results showed that the synthetical development level of the two industries in urban agglomeration of GBA was steadily rising, with significant differences in regional development, showing the east coast of GBA > the north coast of GBA > the west coast of GBA. The growth trend of industrial convergence degree is obvious, but the overall coupling coordination degree is not high, basically in the late maladjustment stage and transition stage. The convergence of the two industries shows a positive aggregation distribution in space, and the degree of agglomeration is rising. Cities around the Pearl River Estuary mostly belong to the “high-high” spatial association type, with obvious spillover effect, and become a significant growth pole for the converged development of the two industries in GBA. Cities in the periphery of GBA and the west coast of GBA mostly belong to the “low-low” and “low-high” spatial association types. Finally, sustainable development strategies are put forward from four aspects: spatial layout coordination, industrial division coordination, exchange platform coordination, and regional policy coordination, so as to promote the highly converged and coordinated development of the sports and tourism industries in the urban agglomeration of GBA.

Evaluation and Influencing Factors of Network Resilience in Guangdong-Hong Kong-Macao Greater Bay Area: A Structural Perspective

Currently, urban crises are spreading, even tending to be magnified along the urban networks. Improving urban network resilience can effectively reduce the loss and cope with sudden disasters. Based on the dimensions of regional resilience and the framework of urban network, a new evaluation system of network resilience, including economic, social, and engineering networks, was established to assess the network resilience of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from a structural perspective. We analyzed the spatial characteristics and influencing factors of network resilience using social network analysis and quadratic assignment procedure. The results were as follows: (1) regional difference was biggest in GBA's economic network strength while smallest in its transportation network strength, and the east bank of the Pearl River represented an extremely resilient connection axis;(2) the structures of network resilience and its subsystems were heterogeneous, and the connection paths of network resilience were more heterogeneous and diversified than those of the subsystems;(3) network resilience presented an obvious core-edge structure, and the spatial correlation and spillover effect between blocks were substantial;and (4) geographical proximity, as well as differences in economic development, urban agglomeration, and market development, had a significant impact on network resilience. This study provides a more systematic approach to evaluate the regional network resilience, and the results provide references for the construction of bay areas in developing countries.

Big Data and Sustainability in the Tourism Industry

A vital goal of this SI is to improve our understanding of how big data analyses can create social and environmental values, as well as economic and financial sustainability in line with the principles of the Sustainable Development Goals (SDGs). [...]this SI features original and relevant conceptual and empirical papers on how big data analysis provides tourism actors, organizations, territories, and ecosystems with new opportunities for creating economic, social, and environmental values. [...]their results indicate that consumers’ perceived risk plays a moderating role (1) between desire and use intentions, and (2) between desire and willingness to pay. [...]the authors extended the existing literature by finding the moderating role of perceived risk in the context of a robotic restaurant for the first time. After the COVID-19 pandemic started, “taste”, “corona”, and “weekend” were the new words that frequently appeared. [...]consistent with the previous study, in which some scholars pointed out that new eating habits centered on food delivery or digital consumers emerged, this study suggested that changing the perception of dining-out may be due to negative emotions. According to this effect, five types of smart work effectiveness have come to light: (1) self-development and energy saving, (2) quality of life, (3) job satisfaction, (4) work engagement, and (5) work–life balance.