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The purpose of current study aims to provide a different perspective on customer-based brand equity (CBBE) and integrate this with previous brand equity theory to contribute to the brand equity literature.

Proposed hypotheses were verified using structural equation modelling (SEM) with multiple datasets. Study 1 collected data from 574 foreign tourists and 624 domestic tourists of culinary tourism. Study 2 used 1,020 customers from anti-epidemic restaurants, and Study 3 investigated 464 hotel customers’ perceptions of customer-based brand equity.

Building on the mediation-moderation model, the present study posits that perceived quality relates to brand loyalty through brand image and brand awareness of using 2,682 participants. Specifically, we argue that this indirect relationship exhibits a difference moderated pattern in which motivation and hedonic function are most likely to benefit from revisit destinations for tourists when they are moderate. We further explored the new anti-epidemic concepts of COVID-19 and identified restaurant operation as an important moderator that influences customer image of restaurant revisit.

Until now, no tourism and hospitality studies have addressed these unsolved problems in an integrated manner. This study was to investigate the brand equity development process.

Drought is the primary disaster that negatively impacts agricultural and animal husbandry production. It can lead to crop reduction and even pose a threat to human survival in environmentally sensitive areas of China (ESAC). However, the phases and periodicity of drought changes in the ESAC remain largely unknown. Thus, this paper aims to identify the periodic characteristics of meteorological drought changes.

The potential evapotranspiration was calculated using the Penman–Monteith formula recommended by the Food and Agriculture Organization of the United Nations, whereas the standardized precipitation evaporation index (SPEI) of drought was simulated by coupling precipitation data. Subsequently, the Bernaola-Galvan segmentation algorithm was proposed to divide the periods of drought change and the newly developed extreme-point symmetric mode decomposition to analyze the periodic drought patterns.

The findings reveal a significant increase in SPEI in the ESAC, with the rate of decline in drought events higher in the ESAC than in China, indicating a more pronounced wetting trend in the study area. Spatially, the northeast region showed an evident drying trend, whereas the southwest region showed a wetting trend. Two abrupt changes in the drought pattern were observed during the study period, namely, in 1965 and 1983. The spatial instability of moderate or severe drought frequency and intensity on a seasonal scale was more consistent during 1966–1983 and 1984–2018, compared to 1961–1965. Drought variation was predominantly influenced by interannual oscillations, with the periods of the components of intrinsic mode functions 1 (IMF1) and 2 (IMF2) being 3.1 and 7.3 years, respectively. Their cumulative variance contribution rate reached 70.22%.

The trend decomposition and periods of droughts in the study area were analyzed, which may provide an important scientific reference for water resource management and agricultural production activities in the ESAC. However, several problems remain unaddressed. First, the SPEI considers only precipitation and evapotranspiration, making it extremely sensitive to temperature increases. It also ignores the nonstationary nature of the hydrometeorological water process; therefore, it is prone to bias in drought detection and may overestimate the intensity and duration of droughts. Therefore, further studies on the application and comparison of various drought indices should be conducted to develop a more effective meteorological drought index. Second, the local water budget is mainly affected by surface evapotranspiration and precipitation. Evapotranspiration is calculated by various methods that provide different results. Therefore, future studies need to explore both the advantages and disadvantages of various evapotranspiration calculation methods (e.g. Hargreaves, Thornthwaite and Penman–Monteith) and their application scenarios. Third, this study focused on the temporal and spatial evolution and periodic characteristics of droughts, without considering the driving mechanisms behind them and their impact on the ecosystem. In future, it will be necessary to focus on a sensitivity analysis of drought indices with regard to climate change. Finally, although this study calculated the SPEI using meteorological data provided by China’s high-density observatory network, deviations and uncertainties were inevitable in the point-to-grid spatialization process. This shortcoming may be avoided by using satellite remote sensing data with high spatiotemporal resolution in the future, which can allow pixel-scale monitoring and simulation of meteorological drought evolution.

Under the background of continuous global warming, the climate in arid and semiarid areas of China has shown a trend of warming and wetting. It means that the plant environment in this region is getting better. In the future, the project of afforestation and returning farmland to forest and grassland in this region can increase the planting proportion of water-loving tree species to obtain better ecological benefits. Meanwhile, this study found that in the relatively water-scarce regions of China, drought duration was dominated by interannual oscillations (3.1a and 7.3a). This suggests that governments and nongovernmental organizations in the region should pay attention to the short drought period in the ESAC when they carry out ecological restoration and protection projects such as the construction of forest reserves and high-quality farmland.

The findings enhance the understanding of the phasic and periodic characteristics of drought changes in the ESAC. Future studies on the stress effects of drought on crop yield may consider these effects to better reflect the agricultural response to meteorological drought and thus effectively improve the tolerance of agricultural activities to drought events.

Aluminum foam-filled thin-walled unit structures have received much attention for their excellent energy absorption properties. To improve the energy absorption effect of car energy absorption box under axial compression, this paper optimizes the fiber lay-up sequence, fiber angle and aluminum foam density of aluminum foam filled carbon fiber reinforced plastic (CFRP) thin-walled square tubes.

Design of sample points required to construct the proxy model using design of experiments (DOE) method, and the data sample points of different models are obtained through Abaqus simulation and test. A double high-precision proxy model with the maximum specific energy absorption (SEA) and the minimum initial peak crash force (PCF) as the evaluation index is constructed based on the response surface function method. The NSGA-II multi-objective genetic algorithm was used to optimize the design parameters and obtain the optimal solution for the Pareto front, and the results were verified by using the multi-objective optimization toolbox in design-expert.

The results show that the optimal solution to the multi-objective optimization problem with the inclusion of the lay-up sequence is ρ = 0.5g/cm3 for a fiber lay-up angle varying in the range ±15–90° and an aluminum foam density varying in the range 0.2g/cm3-0.5g/cm3, with a lay-up method of [±87°/±16°/±15°/±89°]. The two optimization methods correspond to SEA and PCF errors of 2.109% and 4.1828%, respectively. The optimized SEA value is 18.2 J/g and the PCF value is 18,230 N. The optimized design reduces the peak impact force and increases the specific energy absorption, which improves the energy absorption effect of thin-walled energy-absorbing boxes for automobiles.

In this paper, the impact resistance of CFRP thin-walled square tubes filled with aluminum foam is optimized. Based on numerical simulations and experiments to obtain the sample point data for constructing the dual-agent model, we investigate the effect of filling with different densities of aluminum foam under the simultaneous change of fiber lay-up angle and order on its mechanical properties in this process, and carry out the multi-objective optimization design with NSGA-II algorithm.

With the advent of transformational and digital technologies, companies are striving to integrate digital transformation strategy (DTS) into their business models to stay competitive. However, in many cases, the implementation of DTS fails because managers lack knowledge about the opportunities and challenges associated with this strategy.

First, a bibliometric analysis was conducted with data related to DTS from the Scopus database for the period 2011–2023 to identify scientific trends in the field of DTS. Subsequently, 2,363 documents were collected and analyzed using Vosviewer software. Finally, the opportunities and challenges within the field of DTS were identified as one of the latest trends through a meta-synthesis method.

The findings of this research highlight the current scientific trends in the field of DTS. Also, the challenges of implementing the DTS are lack of instructions and rules, financial weakness, lack of alignment, inappropriate organizational structure, lack of digital organizational culture, challenges related to employees, lack of a digital leader and cyber threats. In addition, DTS implementation opportunities can be divided into three groups: improving customer experience, improving business processes and strategic renewal and creation of new business models.

The present research introduces two key innovations. The first is to offer a summary of prior research in the field of DTS. The second is identifying the opportunities and challenges associated with adopting this strategy, which is one of the latest trends.

Enhancing sustainable construction supply chain performance is crucial and can be achieved through supply chain integration, eco-design and digital transformation. This study aims to evaluate the impacts of supply chain integration, eco-design and digital transformation on the performance of construction supply chains.

This study uses the PLS-SEM model to analyze the data collected by survey. Experts’ evaluation also validated the results of the structural model.

Sustainable supply chain performance in construction projects is significantly impacted by supply chain integration, eco-design and digital transformation. The results also suggest that supply chain integration and eco-design can be enhanced by focusing on digital transformation.

Construction managers can enhance the performance of sustainable construction supply chains. This study contributes to the understanding of sustainable supply chain management in the construction sector, which is consistent with dynamic capacities theory.

Current research has not examined the roles of supply chain integration, eco-design and digital transformation in enhancing sustainable supply chain performance in the construction industry. These roles have been superficially considered in prior studies.

This research examines how universities enhance the virality of their social media messages among students. Specifically, we explore whether and how positive affective content in universities’ social media posts can influence sharing behavior. We also investigate the mediating roles of perceived effort and positive emotional reaction, as well as the moderating effect of visual content (i.e. photos).

Drawing upon the emotions as social information model, we conducted (1) an online experiment (N = 222) and (2) text analysis of 1,269,798 Twitter posts extracted from the accounts of 94 UK universities over 11 years (2010–2020) to test our hypotheses.

The findings show that social media posts containing positive affective content encourage sharing behavior and the relationship is mediated by both perceived effort and positive emotional reaction. An additional finding suggests that the use of visual content (photos) strengthens the relationship between positive affective content and sharing behaviors through an interaction effect.

This study contributes to the scant research focusing on positive affective content in the higher education context. The findings shed light on how universities could create social media communications that engage current and prospective students.

This study aims to investigate the relationship between corporate tax avoidance and stock price crash risk and the moderating effects of corporate governance.

This study investigates the relationship between corporate tax avoidance and stock price crash risk using the sample consisting of listed firms in Vietnam for the period of 2011–2020 using panel regressions.

The authors find that there is a positive relationship between tax avoidance and stock price crash risk. Foreign ownership weakens the impacts of tax avoidance on stock price crash risk, while managerial ownership strengthens the impacts. Female Chief Executive Officers (CEOs) and female chairpersons weaken this relationship. Board gender diversity and state ownership have insignificant moderating impacts.

These findings could help the stock market build better internal monitoring mechanisms to reduce the impacts of tax avoidance on future stock price crash risk. Investors can recognize the characteristics of corporate governance, especially foreign ownership, managerial ownership, female CEOs and female chairpersons when making investment decisions. The policy makers should consider policies to attract foreign investment and support women entrepreneurship.

This paper contributes to the literature on the impacts of tax avoidance on stock price crash risk in emerging countries. This paper is the first to investigate the influence of corporate governance mechanisms including state ownership, foreign ownership, female CEOs and chairpersons and board gender diversity on this relationship.

Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.

This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.

Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.

The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.

The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.

The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.

The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.

This study explores the effects of gender and participation in agricultural cooperatives on biodiversity conservation farming practices in vegetable production.

This study used data collected from a survey of 627 vegetable farmers in Viet Nam and employed the Ordered Probit regression model to examine the effects of gender and participation in agricultural cooperatives on biodiversity conservation farming practices.

We find that female vegetable farmers are more likely to conduct biodiversity conservation farming practices than male farmers. This gender difference is, however, removed when participation in agricultural cooperatives is controlled, suggesting that agricultural cooperatives effectively facilitate biodiversity conservation farming practices.

It is noted that our study is not free from some limitations. First, we conducted our study on vegetable farmers only. The biodiversity conservation practices in vegetable cultivation might be different from other types of farming. Future studies should be conducted with other types of agricultural cultivation. Second, we do not have enough data to explain why female farmers are more likely to adopt biodiversity conservation practices than male farmers. Future studies should capture biological and social aspects of gender differences to address this limitation.

This study contributes to the literature on biodiversity conservation by presenting empirical evidence on the effects of gender and agricultural cooperatives. Participation in agricultural cooperatives is revealed to facilitate the adoption of biodiversity conservation practices. In addition, we find that the education of farmers, the number of years that farmers have been living in the local area and the quality of land and water are positively related to the adoption of biodiversity conservation practices in vegetable production.

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.