Search results

The coal reserves overlain by buildings, water bodies and railways are estimated to be about 14 billion tons in China. Based on the concept of green mining, in order to save the unit energy, Double pumps in parallel forms of pumping are adopted in 0the paste filling of the pumping system. The optimal solution of the objective function could be obtained by taking the unit flow power of the pumping system as the objective function, using the quadratic polynomial by the least square method curve fitting and by the application of MATLAB. Thereby it is possible to reduce power consumption and increase the efficiency of the operating economy in the paste filling station.

This study adopts the stimulus–organism–response model to examine relationships between the retail environment and customers’ emotions (i.e. pleasure and arousal), prestige sensitivity and word-of-mouth (WOM) intentions towards two luxury retailers: Luxury Brand A and Luxury Brand B.

Data were obtained from a sample of 135 Chinese customers who had purchased Luxury Brand A and 130 Chinese customers who had purchased Luxury Brand B directly from each retailer. The relationships between these two retailers were compared via partial least squares–Henseler’s multi-group analysis (MGA).

Findings indicated that pleasure and arousal did not play mediating roles between the retail environment and WOM intention for either customer group. Prestige sensitivity did not moderate customers’ emotions about Luxury Brand A or Luxury Brand B. Altruism served as a moderator between emotions (i.e. pleasure/arousal) and WOM intention regarding Luxury Brand B but was not a significant moderator for Luxury Brand A. Additionally, MGA suggested non-significant differences between Luxury Brands A and B. Implications for the luxury retail literature and luxury marketers are provided accordingly.

This study is one of the earliest to examine the moderating roles of price sensitivity and altruism on associations between the retail environment and customers’ emotions, prestige sensitivity, and WOM intentions in a luxury retail context. An MGA of customers for Luxury Brand A and Luxury Brand B was innovatively performed to evaluate the proposed framework.

The relationship between sex and tourism remains ambiguous in the tourism literature. Few studies have examined the underlying motivations behind sex-driven travel, and little is known about factors inhibiting tourists' procurement of commercial sex when traveling. Therefore, this study explored male Chinese tourists' perceived constraints during decision-making and developed a comprehensive scale to assess constraints to commercial sex consumption overseas.

Data were obtained from male Chinese tourists purchasing commercial sex while traveling overseas. This study involved a four-stage process as recommended by Churchill (1979) for scale development research. In Stage 1, preliminary items were generated through a comprehensive review of the constraints literature and in-depth interviews with 16 sex tourists, which generated an initial 26 items. During the second stage to purify the measurement items, six items were eliminated, resulting in 20 items. Stage 3 involved exploratory factor analysis (N = 275) to extract the scale's underlying factor structure. Results revealed a five-factor structure with sufficient evidence of internal reliability given Cronbach's alpha coefficients between 0.722 and 0.843. The final stage included confirmatory factor analysis (N = 259) to verify the scale's reliability and validity.

Ultimately, 20 items were developed to measure sex tourists' perceived constraints toward engaging in commercial sex services overseas based on five factors: structural constraints, intrapersonal constraints, interpersonal constraints, value conflicts and service supply–related constraints.

This study advances the scope of sex tourism research by verifying how these five constraints are independent, generalized and can influence the procurement of sexual services overseas. This study is the first in sex tourism research to explore the difficulties facing sex tourists. Results offer marketers important insight on how to better address these constraints while providing a safe and legal sex tourism experience.

The 2019 novel coronavirus (COVID-19) outbreak is projected to have adverse consequences on the global tourism and hospitality industry. This paper aims to examine how the outbreak may alter Chinese tourists’ lifestyle choices, travel behaviour and tourism preferences in the short and long term.

This paper is based on the synthesis of news broadcasted by several media outlets to be supported by an overview of the related literature on tourism marketing, tourism management and tourist behaviour. The authors’ experiences investigating trends in tourism and hospitality at the local and international level have also contributed to the study.

This paper predicts that COVID-19 will likely affect Chinese travellers’ consumption patterns, such as the growing popularity of free and independent travel, luxury trips and health and wellness tourism. New forms of tourism including slow tourism and smart tourism may also drive future tourism activities. Such changes are likely to force businesses to reconsider their service designs and distribution channels.

While Chinese and other potential visitors rethink how they travel, professionals, too, should reflect upon how to bring positive or negative changes to the tourism industry following this pandemic. Subsequent research should also consider how to mitigate the effects of similar public health crises in the future.

Recommendations for industry practitioners and policymakers focus on tailoring travel arrangements to tourists’ backgrounds. The suggestions may help to alleviate outbreak-related stress, offer travellers newly enriching experiences and partially mitigate the effects of COVID-19 on the tourism and hospitality industry. These recommendations can also apply more broadly to global tourist markets.

The COVID-19 outbreak has already brought significant impacts to nearly every society and industry. Tourism scholars and practitioners should carefully consider this tragedy and how it may inform industry and social practices. This and other public health crises represent sterling opportunities to view the industry holistically in terms of its effects on the environment, climate and travellers themselves.

This paper presumably represents a frontier study, critically examining the possible impacts of COVID-19 on Chinese travellers’ consumption patterns and how the tourism and hospitality industry may respond to such changes in the future.

预计2019年新型冠状病毒（COVID-19）爆发将对全球旅游和酒店业产生不利影响。本文预测, COVID-19可能会影响中国旅客的消费方式, 例如自由行, 豪华旅行以及健康与养生旅游的普及。包括慢速旅游和智能旅游在内的新型旅游形式也可能推动未来的旅游活动。这种变化可能促使企业重新考虑其服务设计和分销渠道。针对行业从业者和政策制定者的建议着重于根据游客的背景和需求量身定制旅行安排。我们的建议可能有助于减轻与疫情暴发导致的压力, 为旅行者提供全新的丰富体验, 并从一定程度减轻COVID-19对旅游业和酒店业的影响。这些建议还可以更广泛地应用于全球旅游市场。

COVID-19, 生活方式 旅游行为 灾后 集体主义倾向 中国

El impacto del COVID-19 se prevé importante en la actividad turística global y en la industria de la hostelería. Este artículo predice que el COVID-19 afectará con probabilidad alta los patrones de consumo de los viajeros chinos, incluyendo los cada vez más populares viajes comprados directamente por los consumidores chinos, en el segmento del lujo, y el turismo de salud y belleza. Nuevas formas de turismo, incluyendo el slow tourism, y el turismo responsable pueden convertirse en importantes tendencias de futuro igualmente. Dichos cambios llevarán con cierta seguridad a la industria a reconsiderar y adaptar su oferta de servicios en este sector, en particular su diseño y los canales de distribución utilizados. Las recomendaciones para la industria y los responsables de la política turística se alinean con una mayor proximidad de la oferta a los gustos cambiantes del consumidor. Dichas acciones ayudarán a reducir fricciones y fallos en la definición del negocio turístico, ofreciendo a los viajeros nuevas y enriquecedoras experiencias, así como podrán mitigar en parte los efectos adversos estimados del COVID-19, los cuales son relevantes a día de hoy. Así mismo, dichas recomendaciones son aplicables de una manera más global a la industria del turismo y la hospitalidad en el mercado mundial.

COVID-19, Estilo de vida, Conducta del viajero, Post-desastre, Orientacion collectivista, China

This paper introduces a novel method to improve building safety management by leveraging building information modeling (BIM) and adaptive information retrieval techniques. The integration aims to overcome the limitations of traditional safety management methods in connecting construction processes with risk management efficiently.

The proposed method involves developing industry foundation classes (IFC) ontologies and integrating them with a safety document ontology to form a comprehensive BIM-based safety context framework. Custom reasoning rules and an inference engine are constructed to enable automatic context-aware safety information retrieval. The methodology is demonstrated through an adaptive information retrieval system using job hazard analysis (JHA) documents.

The implementation of the BIM-based adaptive information retrieval system shows significant improvements in identifying and managing construction risks. By mapping job-specific risks to corresponding safety measures, the system enhances risk detection and management tailored to particular construction tasks. The results indicate a marked improvement in the precision and accuracy of safety assessments and recommendations, aligning them closely with planned construction activities and conditions.

This paper offers an innovative approach to construction safety management through the development of a BIM-facilitated context-aware information retrieval system. This approach provides a more intelligent and automated framework for identifying and managing risks in construction projects. By focusing on specific job steps and related risks, the system enhances the effectiveness and accuracy of safety measures, contributing to better overall building safety management.

The purpose of this paper is to identify risk factors in building information modeling (BIM) technology application, analyze the correlation between risk factors, and find the most influential risk factors using interpretative structural model (ISM), put forward a response to targeted suggestions, and provide a reference for widespread BIM technology application.

Literature reviews, ISM, a questionnaire survey and expert interviews were used in this paper. First, the risk factors of BIM technology application and their relationships were determined by consulting the relevant BIM literature. Second, to more intuitively reflect the relationships between risk factors, an ISM model based on expert interviews was established to structure the explanatory relationships and hierarchical relationships between factors. Finally, a questionnaire survey was conducted for relevant practitioners, and a scale was designed to evaluate the risk factors of BIM technology application to determine the risk factors that have a greater impact on implementing BIM technology.

The root risk factors of BIM technology consist of unclear data ownership, incomplete standard BIM systems, lack of industry insurance, lack of BIM technicians, lack of BIM project practice experience, BIM infrastructure preparation, inconsistent thinking about BIM from project participants, changes in delivery mode and software function problems.

The risk-sharing of BIM technology and the analysis of responsibilities, rights and benefits of all parties in a BIM project can be used as future research directions to solve higher management problems.

This paper describes the risks of BIM technology application for related researchers and provides another research train of thought for the follow-up studies.

The purpose of this paper is to apply the dynamic capability view to identify relationships between human capital (HC), supply chain integration (SCI) and firm’s performance. It also examines the moderating effect of product variety (PV) on these relationships in the context of omni-channel retailing (OCR).

An empirical study was conducted based on survey research. In total, 230 retailers in China’s market adopting omni-channel strategy were surveyed to examine the hypotheses proposed in our conceptual model using statistical techniques.

This study reveals that HC has a positive impact on SCI, and the impact of employees’ capital is greater on the success of SCI than that of managers’ capital. Moreover, the results confirm that SCI facilitates the achievement of superior performance. Organization integration contributes the most to performance improvement in OCR. Additionally, this study identifies the positive moderating effect of PV on the relationship between HC and SCI, while the moderating effect is insignificant to the influence of SCI on performance.

We obtained valuable insights for both academicians and practitioners. On the one hand, this could be an early attempt as an interdisciplinary study to empirically analyze supply chain management in OCR from human resource perspective. It reveals the importance of human resource management (HRM) and the contribution of SCI to OC retailers. Therefore, this study fills current research gaps. On the other hand, this study provides several practical insights to top management: the importance of improving an individual’s competency to sustain a retailer’s dynamic capability; and the importance of strengthening the organization’s integration to better achieve effective SCI in OCR. Additionally, this study proposes future research based on its limitations.

SCI is investigated in the context of OCR from the HRM perspective. Moreover, this study reveals the importance of HRM and discusses the moderator’s effect in OCR.

In the face of frequent supply chain disruptions, this study aims to identify the relationships between human capital (HC), digital supply chain practice (DSCP) and supply chain robustness and resilience (i.e. SCRO and SCRE).

To examine the proposed conceptual model based on the resource-based view and organizational information processing theory, an empirical study was conducted using a sample of Chinese manufacturers. Hierarchical regression is applied to understand the direct effect, mediating effect and moderating effect among HC, DSCP, SCRO, SCRE and digital culture.

The results reveal that HC positively influences digital maturity and supply chain resilience. DSCP positively affects both SCRO and SCRE. However, HC does not significantly influence the adoption of digital tools, and only employees’ capital has a positive relationship with SCRO. In addition, the moderating effect of digital culture on the relationship between HC and DSCP was examined.

As an early exploration of the relationships among HC, DSCP, SCRO and SCRE, this study enriches the literature by offering new insights and responding to the call for more empirical research and theoretical application. It emphasizes the importance of HC and DSCP as strategic resources and highlights the need for a digital culture to implement DSCP.

This study investigates the impact and role of digital twin technology in building automation (DTBA) from a sustainability viewpoint. It aims to enhance the understanding of how DTBA can boost efficiency, optimize quality and support sustainable practices in contemporary construction. By exploring the integration of DTBA with sustainable practices, the study seeks to demonstrate how DT can revolutionize building management and operations, leading to significant improvements in resource efficiency, environmental impact and overall operational excellence.

This research employs a bibliographic analysis and systematic review of 176 publications from the past five years (January 1, 2019 to December 31, 2023), focusing on the application and development of DTBA. The study methodically analyzes current trends, identifies research gaps and suggests future directions by synthesizing data from various studies, offering a comprehensive overview of the current state of DTBA research. The approach combines quantitative and qualitative analyses to provide robust insights into the advancements and challenges in the field.

The review identifies key development areas in DTBA, such as energy and environmental management, resource utilization within a circular economy and technology integration and interoperability. It highlights the necessity for further research to maximize DTBA’s potential in sustainable building automation. The findings suggest that while significant progress has been made, there is a critical need for innovations in data interoperability, predictive analytics and the integration of renewable energy sources to fully realize the benefits of DTBA in enhancing building sustainability.

This paper provides a thorough review of DTBA from a sustainability perspective, offering valuable insights into its current applications and future development potential. It serves as a crucial resource for researchers and practitioners looking to advance sustainable practices in the construction sector using DT technology. By bridging the gap between theoretical research and practical applications, the paper underscores the transformative potential of DTBA in driving sustainable development and provides a roadmap for future research and innovation in the field.

The purpose of this paper is to conduct a comprehensive study on building, fire and evacuation, so as to effectively improve the efficiency of building fire evacuation and the management level of fire evacuation site. Make up for the difficulties of BIM technology in effectively connecting building information and fire data.

First, this paper establishes a fire model and an evacuation model based on BIM information. Then, the safety index (SI) is introduced as a comprehensive index, and the IRI is established by integrating the SI function to evaluate the safety of evacuation routes. Based on these two indices, the IRI-based fire evacuation model is established.

This study offers an Improved Risk Index (IRI)-based fire evacuation model, which may achieve effective evacuation in fire scenes. And the model is verified by taking the fire evacuation of a shopping center building as an example.

This paper proposes a fire evacuation principle based on IRI, so that the relevant personnel can comprehensively consider the fire factors and evacuation factors to achieve the optimization of building design, thereby improving the fire safety of buildings.