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Due to its fast growth, cross-border e-commerce (CBEC) is becoming a popular internationalization model, especially in those destination markets with impressive e-commerce development like China. However, CBEC also brings new logistics challenges and uncertainty. This paper aims to understand how companies cope with logistics uncertainty in this field and whether the different types of uncertainty influence the risk management strategies adopted to face them.

A survey targeting online exporters to China and third-party forwarding logistics service providers (3PFLs) is conducted. A structural equation model (SEM) analysis is performed to test the possible relationship between the adopted risk management strategies and the types of uncertainty. The type, industry and size of the company, as well as the distance between the company's home country and China, are used as control variables in the study. Survey results are enriched via interviews with some of the respondents.

The risk management strategies adopted are dependent on the type of logistics uncertainty that the companies face and, to a minor extent, on the industry the company operates in. Conversely, no significant influence is exerted by other types of control factors, i.e. home country, company size or company type.

The paper investigates logistics uncertainty and risk management approaches in the novel context of CBEC. A systematic review of relevant sources of uncertainty is offered to help both scholars and practitioners understand the current complexities of CBEC. From a theoretical perspective, the paper models the investigated concepts in light of the contingency approach. From a practical perspective, results can be of interest since the list of proposed items can support risk identification and evaluation while the interviews with managers can provide insights on risk management practices.

In the 21^st Century, a region 's growth and prosperity will depend upon its intermodal transportation infrastructure and its ability to efficiently move goods, materials, and people within the system whether it be from origin to destination; from supplier to customer through the various levels of the supply-chain; or from point to point within the system. Planning for the future focuses on improving a region 's intermodal transportation system efficiencies and infrastructure, its connection to other economies, and on the development of logistics institutions and facilities.

With China 's rapidly developing economy and society, record numbers of new modern facilities such as airports, ports, highways, logistics parks and warehouses are being built. Along with this, companies have made extensive investments in information technologies and software to support the tremendous growth that has taken place in the logistics industry. The development and improvement of China's historic inland water transport system is essential to their continued future growth and prosperity. In Korea, past and present National Governments have emphasized the importance of developing a North East Asian Logistics and Business Hub in their region and have worked on strategies, which include water transport, as part of an important national agenda to that end.

This article looks at how trade flows in the Yangtze and Yellow Sea Regions and between China and South Korea might be enhanced by application of improved shipping methods in marine commerce that will promote economic growth in the region. The application of logistics practices and use of barges is explored for the movement of containers on inland and coastal waterways as well as in short sea shipping which could greatly facilitate the region 's situation with respect to future economic growth.

The Incheon Region has numerous assets that fall within a Pentaport model.' These include the Incheon International Airport, the Port of Incheon, a coastal industrial park, free economic zones, a leisure port, and Songdo new town designed to be the future Silicon Valley of Korea. This paper looks at how Northeast Asia trade flows between China and Korea might be enhanced by application of the Pentaport model in making the Incheon region a North East Asian Hub. It looks also at their trade and logistics systems as well as their water borne commerce. It proposes an integrated transportation system for the Yellow Sea Region being beneficial to the economies of the Northeast Asia. It also stresses that innovative technologies for ships, terminals and cargo handling systems should be introduced to develop a competitive short sea shipping system in the region and cooperation among the regional countries will be essential to achieve the final goal. The potential of methods of container shipping is discussed as it might apply to short sea shipping in the Yellow Sea Region that could greatly facilitate Incheon's situation with respect to the broader region in application of the Pentaport model.

This paper investigates the consequences of job insecurity among hotel employees during the COVID-19 pandemic.

Data were obtained from the employees of two five-star chain hotels in Turkey. The study hypotheses were tested via structural equation modeling.

The research findings demonstrate that job insecurity exacerbates job tension. Job tension erodes employees’ trust in organization and aggravates their propensity to leave work early and be late for work. As hypothesized, job tension mediates the effect of job insecurity on organizational trust and the abovementioned outcomes.

This study adds to the hospitality literature by assessing the interrelationships of job insecurity, job tension, organizational trust and nonattendance intentions.

This paper aims to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services sector.

The authors have conducted a panel data regression analysis using data from 50 banking, insurance and finance companies listed in Vietnam's two biggest stock exchanges (HNX and HOSE) within the period from January 30th, 2020 to May 15th, 2021.

The regression results indicate that the daily growth in the total number of confirmed cases caused by COVID-19 has significant negative effects on the stock market returns and liquidity. Nevertheless, the Government's imposition of lockdown yields significant and positive outcomes on stock performance. In addition, the study reveals remarkable differences in returns of large-cap and small-cap stocks under the impact of the COVID-19 pandemic.

The study indicates government and regulators should act more actively to limit the outbreak of the virus, improve investor confidence as well to support the financial services industry and deal with the outbreak of the pandemic later.

This is the first study to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services industry.

The e-freight program launched by the International Air Transport Association (IATA) has gradually become a standard specification for international air freight operations. This study examined critical factors affecting air freight forwarders’ decision to adopt the IATA e-freight using a technology-organization-environment model with air freight forwarders in Taiwan as the base. Our findings show that ‘information technology (IT) competence’, ‘trading partner pressure’, ‘government policy’ and ‘competitive pressure’ all have significant positive effects on air freight forwarders’ decision to adopt the e-freight and the top three factors among these are ‘government funding’, ‘government’s active promotion’ and ‘government’s requirement of electronic air waybill (e-AWB)’. Finally, this study proposes strategies that can encourage air freight forwarders to decide on e-freight adoption for the information of relevant oK regyawniozradtison International Air Transport Association (IATA); IATA e-freight; Technology organization environment model; Air freight forwarder

This paper aims to analyse the most significant disruptive events affecting tourism during the twenty-first century, particularly the 2020 COVID-19 pandemic.

Based on a thorough literature review, this study takes a complexity science approach to the field of tourism to shed light on the challenges of disruptive events in tourism systems.

Focusing on the COVID-19 pandemic, in particular, this study acknowledges that disruptive events are complex and have tremendous impacts on several areas of society: people’s psychological well-being and the health-care system, as well as social, economic, cultural, technological, environmental and political dimensions. Whether they occur alone or interact, these dimensions add varying levels of complexity to the tourism system. In response, the tourism industry can adopt a resilience model as a crisis management tool to address disruptive events affecting this field.

As this paper is mainly theoretical, future empirical research will contribute to refining the findings and testing the usefulness of the proposed model.

The paper looks at examples of successful and unsuccessful of COVID-19 outbreak management in various countries to analyse issues such as crisis management, resilience and tools for coping with the impacts of disruptive events.

This theoretical paper proposes a first taxonomy of the multidimensional impacts of twenty-first-century disruptive events on tourism and dissects the phases of crisis management, with a corresponding conceptual model.

本文分析了21世纪影响旅游业的最为重要的破坏性事件, 尤其关注2020年新型冠状病毒肺炎大流行

本文将复杂性科学方法应用于旅游领域, 通过全面的文献综述, 揭示破坏性事件给旅游系统带来的挑战。

本文承认破坏性事件, 特别是新型冠状病毒肺炎大流行, 复杂且影响巨大, 涉及心理、医疗、社会、经济、文化、技术、环境和政治等诸多方面。这些影响不管是单一的还是相互作用的, 都在不同程度上增加了旅游系统的复杂性。旅游业可以将弹性模型作为危机管理工具, 以应对其领域内的破坏性事件。

本文首次提出了21世纪破坏性事件对旅游业的多维影响的分类法, 并对危机管理的各个阶段进行了剖析。本文还提出了一个综合模型。

由于本文以理论为主, 未来的实证研究将有助于完善研究结果和验证所提出模型的实用性。

本文着眼于不同国家新冠疫情管理的成功和失败案例, 分析危机管理、复原力以及应对破坏性事件影响的方法等问题。

Identificar los eventos disruptivos mundiales más importantes que han afectado el turismo en el siglo XXI poniendo especial atención en la pandemia causada por el COVID-19 en el 2020.

Mediante un enfoque a las ciencias de la complejidad aplicado al turismo y una exhaustiva revisión bibliográfica, este artículo esclarece el reto que significa un evento disruptivo en el turismo.

Los eventos disruptivos, en particular el COVID-19, son complejos y generan un alto impacto tanto en el aspecto psicológico, sanitario, social, económico, cultural, tecnológico, medioambiental y político. En su interacción, todos ellos añaden un diferente grado de complejidad al sistema del turismo. Este artículo propone adoptar un modelo de resiliencia como herramienta de gestión de crisis para afrontar eventos disruptivos en el campo del turismo.

Proponer una primera clasificación de los impactos multidimensionales de los eventos disruptivos del siglo XXI en el turismo y un desglose de las fases de gestión de crisis, como así también proponer un modelo integrador de ambos aspectos propios de un evento disruptivo.

Debido al carácter teórico de este artículo, el modelo integrador sugerido representa un marco prometedor para futuras investigaciones en el plano empírico.

Este artículo presta atención a aquellos países que han gestionado la pandemia de forma exitosa o no, para así tener una mejor noción de gestión de crisis y herramientas para hacer frente a futuros eventos disruptivos.

This review aims to give a critical view of the wheel/rail high frequency vibration-induced vibration fatigue in railway bogie.

Vibration fatigue of railway bogie arising from the wheel/rail high frequency vibration has become the main concern of railway operators. Previous reviews usually focused on the formation mechanism of wheel/rail high frequency vibration. This paper thus gives a critical review of the vibration fatigue of railway bogie owing to the short-pitch irregularities-induced high frequency vibration, including a brief introduction of short-pitch irregularities, associated high frequency vibration in railway bogie, typical vibration fatigue failure cases of railway bogie and methodologies used for the assessment of vibration fatigue and research gaps.

The results showed that the resulting excitation frequencies of short-pitch irregularity vary substantially due to different track types and formation mechanisms. The axle box-mounted components are much more vulnerable to vibration fatigue compared with other components. The wheel polygonal wear and rail corrugation-induced high frequency vibration is the main driving force of fatigue failure, and the fatigue crack usually initiates from the defect of the weld seam. Vibration spectrum for attachments of railway bogie defined in the standard underestimates the vibration level arising from the short-pitch irregularities. The current investigations on vibration fatigue mainly focus on the methods to improve the accuracy of fatigue damage assessment, and a systematical design method for vibration fatigue remains a huge gap to improve the survival probability when the rail vehicle is subjected to vibration fatigue.

The research can facilitate the development of a new methodology to improve the fatigue life of railway vehicles when subjected to wheel/rail high frequency vibration.

In recent years, with the gradual differentiation of economic and financial cycles, it has been increasingly difficult for monetary policies to remain balanced in stabilizing both economy and finance. Taking the period of 1999–2017 as a sample, the purpose of this paper is to find whether the synergy between the growth cycle and the price cycle is constantly improving in the economic cycle is more appropriate.

The key to stabilizing the economic cycle lies in the monetary policy and it should abandon the goal of boosting growth in a timely manner and turn into the goal of maintaining steady growth. At present, quantitative monetary policy is still more effective than price-oriented monetary policy in smoothing the economic cycle.

The impact of quantitative regulation on the financial cycle is more neutral, whereas price regulation will increase the volatility of price and financial cycles in the course of smoothing the growth cycle. In view of the continuous differentiation between the economic and financial cycles, it is realistic and reasonable to accelerate the establishment of a sound dual-pillar regulatory framework of “monetary policy and macro-prudential policy.”

The macro-prudential policy is specially used to smooth the financial cycle, so as to reduce the burden and increase the efficiency of the monetary policy on regulating economic cycle. Moreover, the transformation of monetary policy to price-oriented regulation must keep pace with the construction of the dual-pillar regulation framework and complement each other to prevent undesirable consequences in the financial sector. On the other hand, monetary policy still needs to rely on quantitative regulation in the future. The research in this paper also provides a new perspective for understanding the internal and external reform of China’s monetary policy in recent years.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.