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This study aims to expand tourism knowledge by analysing literature review articles published in English Web of Science (WOS) and Chinese China National Knowledge Infrastructure (CNKI) language journals and reviewing their influence, interconnection and trends.

A three-stage method was designed to understand the tourism research progress. Performance analysis identified the publication timeline, high-yielding journals and authors that published tourism literature reviews and frequently cited papers. Science mapping visualisation examined the intrinsic connections between co-authorship and co-institution. Finally, emerging trend analysis explored the topic modelling and evolution through Latent Dirichlet allocation (LDA) and regression.

The key statistics and collaborations relationships of tourism literature reviews were traced. LDA identified 45 and 22 topics, which narrowed the barriers in tourism studies. The regression analysis divided these topics into “hot”, “fresh”, “bell-shaped” and “stable” patterns. These modes represent the progress of tourism studies. The topic “new emerging technologies and the internet” is the focus of tourism literature reviews published in both databases. Future research could pay more attention to the topics in the “hot” and “fresh” patterns. The results enrich the progress of tourism literature reviews and provide a direction for future research.

To the best of the authors’ knowledge, this study is the first literature analysis for tourism literature reviews published in WOS versus CNKI journals. The proposed three-stage systematic method is used for the first time for the literature review and can guide future research.

本研究旨在通过分析英文WOS和中文CNKI语言期刊上发表的文献综述文章, 回顾其影响、相互联系和趋势, 来扩大旅游知识体系。

本研究设计了一个三阶段方法来了解旅游研究进展。绩效分析确定了出版时间线、发表的旅游文献综述的高产期刊和作者以及经常被引用的文章。科学地图可视化审视了合作作者和合作机构之间的内在联系。最后, 新兴趋势分析通过潜在狄利克雷分配和回归探讨了主题建模和演变。

本文追踪了旅游文献综述的关键统计数据和合作情况。潜在狄利克雷分配确定了45个和22个主题, 这缩小了旅游研究中的研究缺口。回归分析将这些主题分为“热门”、“新鲜”、“钟形”和“稳定”模式。这些模式代表了旅游研究的进展。主题“新兴技术和互联网”是不同数据库中发表的旅游文献综述的焦点。未来的研究可以更多地关注“热门”和“新鲜”模式中的主题。研究结果丰富了旅游文献综述的进展, 为今后的研究提供了方向。

这项研究是首次对WOS与CNKI期刊上发表的旅游文献评论进行文献分析。所提出的三阶段系统方法首次用于文献综述, 可以指导未来的研究。

El objetivo de este estudio es ampliar el conocimiento turístico analizando los artículos de revisión documental publicados en revistas, tanto en la versión WOS en inglés cómo en CNKI China, y revisando sus efectos, interconexiones y tendencias.

Se ha diseñado el método de tres etapas para comprender el progreso de la investigación turística. El análisis del desempeño determinó la línea de tiempo de publicación, las revistas de alto rendimiento y los comentarios de la literatura turística publicados por los autores, así como los artículos citados con frecuencia. La visualización de los mapas científicos, examina los vínculos intrínsecos entre los autores colaboradores y las instituciones colaboradoras. Finalmente, el análisis de tendencias emergentes explora el modelado temático y la evolución a través de posibles asignaciones y regresiones de dilick-ray.

Se han analizado las estadísticas clave y las relaciones de cooperación de la revisión de la literatura turística. La asignación potencial de dilich-ray identifica 45 y 22 temas, lo que reduce las barreras en la investigación turística. El análisis de regresión divide estos temas en patrones “populares”, “novedosos”, “en forma de campana” y “estables”. Estos modelos representan el avance de la investigación turística. El tema “tecnologías emergentes e internet” es el foco de la revisión de la literatura turística publicada en diferentes bases de datos. La investigación futura puede centrarse más en temas en modelos “populares” y “novedosos”. Los resultados de la investigación enriquecen el progreso de la revisión de la literatura turística y proporcionan una dirección para futuras investigaciones.

El estudio es el primer análisis documental de los comentarios de la literatura turística publicados en las revistas WOS y CNKI. El método sistemático de tres etapas propuesto se utiliza por primera vez en la revisión documental y puede guiar futuras investigaciones.

The purpose of this study is to explore mitigation measures for cash flow interruption during the epidemic and provide decision support to ensure the regular operation and robustness of the supply chain (SC).

Considering the scenarios of production capacity and demand disruption during the epidemic, the authors adopt system dynamics (SD) to construct a three-echelon SC financial system consisting of a core manufacturer, a capital-constrained retailer and the customer. In different interruption scenarios, through the decision adjustments of stakeholders, the differences in performance are compared to explore solutions for SC robust optimization.

The results show that partial credit guarantee (PCG) could solve cash flow interruption and maintain the regular operation of the SC. During epidemic, with the product price increases, the revenue of stakeholders and the robustness are generally negatively correlated. But when the manufacturer's production capacity is fully interrupted, increasing product price is the right decision for the retailer and could simultaneously promote performance and robustness.

This paper primarily focuses on the PCG under the cash flow interruption caused by epidemics. The authors adopt the supply chain finance (SCF) theory and SD method to supplement and expand existing research on interruption management of SC. It is a pioneering study to explore the robustness of the SC financial system under disruptions.

This paper aims to focus on corporate social responsibility in relation to economic policy uncertainty in mergers and acquisitions (M&A). The following questions are addressed: How does policy uncertainty impact corporate M&A? Does social responsibility play a mediating role in this process? How does policy uncertainty affect corporate M&A through social responsibility?

This paper selects the major M&A events in China as the research object, and uses the Probit model to analyze the impact of policy uncertainty on M&A behavior and the business performance after the event, and further analyzes the internal mechanisms that cause these phenomena.

This paper shows that the higher the policy uncertainty, the lower the probability of a successful M&A, and the worse the business performance of the business after the event.

This paper provides useful reference for the study of M&A and social responsibility in different policy environments. At the same time, it provides direct empirical evidence to enhance the success rate of M&A.

Lean and Six Sigma are the two most powerful methodologies for process improvement. They have been widely employed in manufacturing and healthcare industries to achieve substantial cost savings and quality improvement. The purpose of this paper is to investigate the implementation of Lean and Six Sigma for improving logistics operations.

A survey was conducted among 410 companies registered under the Singapore Logistics Association and returned 32 usable responses. χ²-tests were used to identify factors affecting the implementation of Lean and Six Sigma.

It was found that 37.5 per cent of respondents had implemented Lean and the majority of them had implemented Six Sigma together. All implementing companies reported varying degrees of cost savings and productivity improvements. Large logistics companies are more likely to implement Lean and Six Sigma. Companies with a higher service standard are more likely to implement Six Sigma.

The survey was limited to Singapore. Future studies should explore a broader geographical coverage and improve the response rate.

Lean and Six Sigma are applicable for improving logistics operations. Senior management must be committed to support an implementation. Effective training and communications are required for overcoming resistance to change and helping employees to understand improvement methodologies and initiatives.

This research is the very first survey study of Lean and Six Sigma in the logistics industry. It reveals similarities and differences in comparison with the implementation of these methodologies in the manufacturing industry. The findings offer valuable insights for improving logistics operations.

This study explores how establishing an agile supply chain ecosystem (ASCE) during the COVID-19 pandemic impacts three listed auto firms’ financial and customer performance in China. Drawing on the theory of supply chain resilience, responsiveness and restoration (3R capabilities), we collect, mine and analyze unstructured social media data from Dongfeng Motor Corporation (DFM), BYD Company Limited (BYD) and SAIC Motor Corporation Limited (SAIC), all of which have production plants in Wuhan.

Data mining was conducted on 3,528 comments involving DFM, BYD and SAIC from 190 uploaders in the stages of “Early COVID-19 Period (January 23-May 31, 2020)” and “Enhanced Preparedness and Vaccine Launch Period (September 8, 2020–January 15, 2021)”. Our conceptual model of an ASCE was tested by adopting structural equation modelling and verified by the DFM case study.

The study finds that the 3R capabilities of the supply chain have a positive effect on establishing an automotive agile supply chain ecosystem. Establishing the automotive agile supply chain ecosystem has promoted corporate financial performance and customer performance, but the mechanism of action presents a delayed feature.

This study refines the definitions and application of the 3Rs concerning an ASCE in the automotive industry. Through text mining technology and statistical analysis methods, we uncover and discuss the impact of COVID-19 on the performance of three auto companies in China and examine how ASCE establishment plays a role. Constructing an ASCE provides a theoretical basis and realistic approach for the long-term and healthy development of the automotive supply chain.

This study aims to solve the problem that both the speed and the required driving power of electric vehicles (EVs) will change during the dynamic wireless charging (DWC) process, making it difficult to charge EVs with a constant power considering the overall efficiency of DWC system, the numbers of EVs and the power supply capacity. Therefore, this paper proposes the power control and efficiency optimization strategies for multiple EVs.

The wireless power charging system for multiple loads with a structure of double-sided LCC compensation topology is established. The expressions of optimal transmission efficiency and optimal equivalent impedance are derived. Taking the Tesla Model 3 as an example, a method to determine the number of EVs allowed by one transmitter coil and the overall charging power is proposed considering EV speed, power supply capacity, safe braking distance and overall efficiency. Then, the power control strategy, which can adapt to the changes of EV speed and the efficiency optimization strategy under different numbers of EVs are proposed.

In this paper, a method to determine the numbers of EVs allowed by one transmitter coil and the overall charging power is proposed considering EVs speed, power supply capacity, safe braking distance and overall efficiency. The accuracy of the charging power is good enough and the overall efficiency reaches a maximum of 91.79% when the load resistance changes from 5Ω to 20Ω.

In this paper, the power control and efficiency optimization strategy of DWC system for multiple EVs are proposed. Specifically, a method of designing the number of EVs and charging power allowed by one transmitter coil considering the factors of EV speed, power supply capacity, safe braking distance and overall efficiency is designed. The overall efficiency of the experiment reaches a maximum of 91.79% after adopting the optimization strategy.

As live streaming becomes a widely used online sales mode, previously content-centred anchors are attempting to switch to e-commerce live streaming. The purpose of this research was to explore the mechanisms that prompt consumers to stay or leave after content anchors transfer to live e-commerce broadcasts. In addition, we explored the factors affecting consumption from the perspectives of anchors, consumers and the external environment.

We distributed questionnaires to a group of fans who had experienced the transition of content anchors to live streaming and received back 375 valid questionnaires. Using psychological contract theory, we constructed a theoretical model for the scenario in which content anchors transition to live e-commerce broadcasting and analysed the data using partial least squares structural equation modelling (PLS-SEM).

The results show that circle culture, mainstream culture, initial trust and live streaming content all positively influenced consumers’ attitudes, whilst consumers’ past shopping experiences negatively influenced consumers’ attitudes. The personal charm of the content anchors did not have a significant effect on consumers’ attitudes. Additionally, we found that only anchors with a significant circle culture and good trust levels amongst fans were able to transition to live e-commerce streaming successfully.

This study extends the application of psychological contract theory to the field of e-commerce and describes the transformation of different types of psychological contracts. The paper’s conclusions provide a reference for decision-making and the implementation of transformation by content-based anchors to live streaming, helping them to coordinate their relationships with fans more effectively.

The issue of empty truck trips is largely ignored in the current literature. In order to cover this important research gap, the purpose of this paper is to explore, describe, categorize and rank the potential truck-sharing constraints for container trucks traveling empty around the port gates.

In order to contribute empirically to the current body of knowledge and understandings of truck-sharing constraints, this paper adopts a multi-method empirical approach involving both qualitative interviews and quantitative questionnaire surveys.

Among many key constraints that influence the future of truck-sharing opportunities, the authors determine, for example, that a carrier’s ability to earn the trust of its competitors is one of the top most important factors of success for a fruitful truck-sharing event. The problem is, perhaps, further complicated because of the increasing competitive environment in the container transport industry, as well as the lack of effective coordination between the key parties involved.

None of the earlier studies has provided a broad understanding and ranking of the truck-sharing constraints that should be considered in truck-sharing events, although the empty trips issue has been limitedly mentioned in the recent academic literature.

Empty truck trips are wasted miles. Wasted empty miles decrease transport capacity in the container distribution chain along with causing an increase in carbon emission, traffic congestion, fuel consumption and environmental pollution. The research results can be used by policy makers to underpin effective measures to prevent the low utilization of trucks.

This study addresses an important gap. To the authors’ knowledge, this is the first study in the area that ranks truck-sharing constraints to reduce empty trucks trips.

This paper aims to investigate the conditional indirect effect of innovativeness on performance via supply chain agility (SCA) in the service industry at higher and lower collaborative relationships.

The hypothesised model is operationalised with survey data from 245 Australian service firms collected via LinkedIn and analysed using structural equation modelling and fuzzy set qualitative comparative analysis (fsQCA).

The analysis found that SCA significantly mediates the relationship between innovativeness and performance. Further, the conditional indirect effect of innovativeness on performance via SCA was significant when the collaborative relationship was high. Results also revealed that a configuration of both innovativeness and agility better predicts performance.

This study is an early attempt to investigate SCA in service industries by scrutinizing SCA from an innovative point of view. While previous studies have demonstrated the role of innovativeness in enhancing a firm's performance, this study explores this link further by investigating the conditional indirect effect of innovativeness on performance via SCA at different levels of collaborative relationships.

Truck-sharing stands out as an impactful strategy for minimizing emissions and optimizing the streamlined transport of goods. This study seeks to address a gap in understanding by investigating the barriers shippers face in adopting truck-sharing services.

This study employs the innovation resistance theory to examine a range of potential barriers. A total of seven potential barriers are included in the investigation. Survey data from Bangladeshis are analyzed using an artificial neural network.

The barriers, ranked in importance, include image, tradition, value, usage, risk, psychological ownership and privacy concerns. Thus, psychological barriers (image and tradition) mostly underpin resistance to change, showing that the issue is more rooted in shippers' perceptions than operations. Also, they often do not find a financial cause to use truck-sharing services. Usage barriers, explicitly addressing the practical application of truck-sharing services, have now assumed the third position, underscoring their significance in overcoming the barriers.

The findings provide valuable insights for policymakers to reconsider their approaches in addressing the most formidable truck-sharing barriers.

This insight holds implications for shippers and transport companies, offering strategic guidance to optimize their engagement with and support for such services.

To the best of our knowledge, this study examines shippers' reluctance to adopt truck-sharing services in a developing country.