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This study aims to explore university students' push and pull motivational factors towards their study tour destination choices and to investigate the differences between experienced and non-experienced students concerning their push and pull motivational factors.

The study collected surveys from Hong Kong university students. In total, 248 usable responses were gathered. Among the 248 respondents, 148 university students from various universities did not have experience on a study tour in their university lives while 100 students did. The study also conducted interviews and collected qualitative data to supplement the survey findings.

Top push and pull motivational factors were highlighted in the study tour context. This study also indicated that non-experienced students relatively have more concerns about geographic location, political stability and financial budget as pull factors and education as the push factor than experienced students. Education, as a high-level human need and push motivational factor, becomes less important for experienced students.

A large number of Asian university students participated in study tour programmes each year. Nevertheless, there are few research papers relevant to exploring university students’ motivation to choose study tour destinations. This study provides useful insight for the universities to design and implement appropriate study tours according to students’ motivation.

This paper aims to investigate the impact of relationship quality among team members in the project team on knowledge transfer effectiveness and analyze the role of organizational structure in the influencing process.

The hypotheses are verified by the Structural Equation Modeling (SEM) analysis using Smart PLS 3 software with the data collected from 236 questionnaire samples in Chinese construction industry.

The results indicate that relationship quality has a direct impact on knowledge transfer in project teams and centralization has a negative impact on relationship quality. Moreover, relationship quality plays a mediating role between centralization and knowledge transfer effectiveness and formalization plays a negative moderating role in the effect of relationship quality on knowledge transfer effectiveness.

This paper studies intra-project knowledge transfer from the perspective of relationship quality of project teams and explores the antecedent and moderating role of organizational structure in the influence of relationship quality on knowledge transfer.

This study aims to provide a systematic review of the literature on destination competitiveness. It explores research themes and approaches, and outlines an agenda for future research.

One hundred and eighty-three journal articles on destination competitiveness published in English since 2010 were collected. Content analysis was performed.

The authors found that sustainable development and smart tourism were popular themes related to destination competitiveness. Recent studies still relied heavily on Ritchie and Crouch’s (2000) model or Dwyer and Kim’s (2003) model. The authors also offer constructive insights for future research, proposing that research seek more input from residents, take an advanced integrated approach between supply and demand, adopt more core theories, focus on less researched types of destinations, explore the further contribution of smart tourism and adopt a negative lens to study the antecedents and consequences of destination competitiveness. The adoption of a longitudinal study approach is also suggested.

This paper contributes to the literature because of the scope of its review and perspective of discussion. Previous review papers have only focused on the factors and indicators of tourism destination competitiveness in different settings. We extend our literature review to research themes and approaches, and make suggestions for future research directions.

本研究对目的地竞争力相关的文献进行了系统性回顾, 以探讨研究主题、方法和未来议程。

本研究收集了自2010年以来以英文发表的183 篇关于目的地竞争力的期刊文章, 并进行了内容分析。

我们发现可持续发展和智慧旅游是与目的地竞争力相关的热门主题。近期的研究仍然主要依赖Ritchie 和Crouch（2000）的模型或Dwyer和Kim（2003）的模型。我们为未来的研究提供了建设性的意见, 建议研究寻求更多居民的意见, 采取进阶的供给与需求的综合方法, 采用更多的核心理论, 关注较少研究过的目的地类型, 探索智慧旅游的进一步贡献, 并采用反向的视角来研究目的地竞争力的前因和后果。我们还建议采用纵向研究的方法。

本研究在评论的范围和讨论的角度对文献作出了贡献。以往的文献综述性文章只关注不同环境下的旅游目的地竞争力的因素和指标。我们在回顾研究主题、方法和对未来研究的建议等方面进行了扩展。

Se recopilaron ciento ochenta y tres artículos de revistas sobre la competitividad de los destinos publicados en inglés desde 2010. Se realizó un análisis de contenido.

Este estudio presenta una revisión sistemática de la bibliografía sobre la competitividad de los destinos. Se analizan temas y enfoques de investigación y se presenta una agenda para futuras investigaciones.

Se constató que el desarrollo sostenible y el turismo inteligente eran temas populares relacionados con la competitividad de los destinos. Los estudios recientes siguen basándose en gran medida en el modelo de Ritchie y Crouch (2000) o en el de Dwyer y Kim (2003). Se presentan ideas constructivas para futuras investigaciones, proponiendo que las investigaciones se centren en más aportaciones de los residentes, adopten un enfoque integrado avanzado entre la oferta y la demanda, se basen en mayor medida en las teorías fundamentales, se centren en tipos de destinos menos investigados, exploren la contribución adicional del turismo inteligente y adopten una óptica negativa para estudiar los antecedentes y las consecuencias de la competitividad de los destinos. También se sugiere la adopción de un enfoque de estudio longitudinal.

Este trabajo contribuye a la literatura por el alcance de su revisión y la perspectiva de la discusión. Los trabajos de revisión anteriores sólo se han centrado en los factores e indicadores de la competitividad de los destinos turísticos en diferentes entornos. Se amplía la revisión de la literatura a temas y enfoques de investigación, y se plantean sugerencias para futuras direcciones de investigación.

Restaurants’ outdoor signage plays an irreplaceable role in attracting potential diners, as it conveys important functional and symbolic meanings of the businesses. The purpose of this study is to investigate the effect of typographic design elements of outdoor signage on consumers’ perceptions of authenticity. This study also tests the linkage between authenticity and willingness to dine, as well as the moderating effect of frequency of dining in ethnic restaurants on the relationship.

Using a 2 (simplified vs traditional Chinese characters) × 2 (calligraphy vs computer font) × 2 (vertical vs horizontal text flow) between-subject design, the authors did two experiments with 786 Chinese diners. Restaurant authenticity and willingness to dine are dependent variables, and openness to ethnic cuisine is the control variable.

Display characters and text flow significantly affect restaurant authenticity. Furthermore, the results of this study demonstrate that display characters interact with typeface to influence restaurant authenticity. Consumers’ perceived authenticity significantly increases their willingness to dine. The frequency of dining in ethnic restaurants moderates the relationship between restaurant authenticity and willingness to dine.

Ethnic restaurateurs should pay attention to the outdoor signage design, as it affects potential consumers’ authenticity perceptions. Specifically, in Mainland China, traditional Chinese characters and vertical text direction increase potential consumers’ authenticity perceptions.

This study extends the semiotic theory and applies the cue–judgment–behavior model in the hospitality literature. This study also provides new understanding of authenticity by identifying the influence of typographic design on authenticity, which confirms the semiotic theory that certain semiotic cues affect consumers’ judgments.

A novel semiconducting macromolecule-polyperylene tetraamide (PPTI) was first synthesized with a simple method using 3, 4, 9, 10-perylene tetracarboxylic acid (PTCA) and hydrazine hydrate (N2H4).

The Ag nanoparticle was doped on the surface or inside of the PPTI film to obtain a highly sensitive hydrazine sensor-Ag/PPTI, which was synthesized within one step. The structure of Ag/PPTI was characterized through various techniques such as Fourier transform infrared (FT-IR), thermogravimetric analyzer (TGA), X-ray diffraction (XRD), X-ray photoelectron spectroscopy measurements (XPS) and scanning electronic microscopy (SEM).

According to cyclic voltammetry results, Ag/PPTI/GCE indicated good electrocatalytic activity toward the oxidation of hydrazine. The amperometric detection of hydrazine was then applied on Ag/PPTI/GCE. It exhibited a wide linear range from 0.05 to 50 µM, a low detection limit (S/N = 3) of 0.05 µM and high sensitivity of 0.45 µA/(µM•cm2).

In authors’ perception, this approach emerges as an effective technique for developing efficient chemical sensors for environmental pollutants.

Building a smart city is a necessary path to achieve sustainable urban development. Smart city public–private partnership (PPP) project is a necessary measure to build a smart city. Since there are many participants in smart city PPP projects, there are problems such as uneven distribution of risks; therefore, in order to ensure the normal construction and operation of the project, the reasonable sharing of risks among the participants becomes an urgent problem to be solved. In order to make each participant clearly understand the risk sharing of smart city PPP projects, this paper aims to establish a scientific and practical risk sharing model.

This paper uses the literature review method and the Delphi method to construct a risk index system for smart city PPP projects and then calculates the objective and subjective weights of each risk index through the Entropy Weight (EW) and G1 methods, respectively, and uses the combined assignment method to find the comprehensive weights. Considering the nature of the risk sharing problem, this paper constructs a risk sharing model for smart city PPP projects by initially sharing the risks of smart city PPP projects through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the independently borne risks and the jointly borne risks and then determines the sharing ratio of the jointly borne risks based on utility theory.

Finally, this paper verifies the applicability and feasibility of the risk-sharing model through empirical analysis, using the smart city of Suzhou Industrial Park as a research case. It is hoped that this study can provide a useful reference for the risk sharing of PPP projects in smart cities.

In this paper, the authors calculate the portfolio assignment by EW-G1 and construct a risk-sharing model by TOPSIS-Utility Theory (UT), which is applied for the first time in the study of risk sharing in smart cities.

This paper analyzes the advance selling and pricing strategies of fresh products supply chain where the e-retailer provides wholesale contract or agency contract to the fresh products supplier.

This paper constructed a two-period sequential-move game of fresh products supply chain members.

This analysis showed that the supply chain members had different preferences for contracts under different market conditions. The advance selling of fresh products was not a decision of the seller, but also required the support of other supply chain members. And the advance selling strategy was not always beneficial to all supply chain parties. Under the two contracts, there were market conditions in which the profits of supply chain members were Pareto-improved through the implementation of advance selling.

The model presented in this study focuses solely on the context of monopoly, overlooking the competition from alternative suppliers or retailers. Consequently, exploring the competitive landscape within the fresh products supply chain, particularly in relation to pre-sale pricing, emerges as a crucial avenue for further investigation. By employing empirical research methods, valuable insights are gleaned, thereby significantly augmenting the existing body of relevant theories.

The decision to pre-sell fresh products should be based on market conditions. Supply chain members can control production costs and fresh products circulation losses to maximize profits.

From the perspective of game theory, this study analyzed the optimal advance selling and pricing strategies of fresh products supply chain members under two kinds of contracts. These results can provide practical implications for fresh products suppliers and e-retailers.

The aim of this study is to analyze the influence mechanism of real estate enterprises' status on debt default risk and explore the heterogeneity effect of the characteristics of enterprises.

Against the background of the “three red lines” regulation of the financing of real estate enterprises and the COVID-19 pandemic, the authors select 123 real estate enterprises listed on China's Shanghai and Shenzhen A-shares markets from the first quarter of 2021 to the second quarter of 2022 as a research sample. The social network analysis method and Z-score financial risk early warning model are used to measure real estate enterprises' status and debt default risk. The authors construct a panel regression model to analyze how the status of real estate enterprises influences their debt default risk.

The results show that the status of real estate enterprises negatively and significantly affects their debt default risk. Economic policy uncertainty and financing constraints play negative moderating and mediating roles, respectively. Further research has found that the effect of real estate enterprises' status on debt default risk is characterized by heterogeneity in equity characteristics, i.e. it is significant in the sample of nonstate-owned enterprises but not in the sample of state-owned enterprises.

It is helpful for real estate enterprises to attach importance to the value of social networks, and the authors provide policy suggestions for real estate enterprises to constantly improve their risk management systems.

Using economic policy uncertainty as the moderating variable and financing constraints as the mediating variable, the authors analyze how the status of real estate enterprises influences debt default risk, which contributes to a better understanding of the formation of the debt default risk of real estate enterprises.

Recently, autonomous vehicles (AV) acceptance has been studied intensively. This paper aims to map and analyze the bibliometric characteristics of AV acceptance literature. Furthermore, this research aims to identify research gaps and propose future research opportunities.

The bibliometric analysis was performed. Scopus database was used as the source of the literature. This study selected and analyzed 297 AV acceptance papers. The performance and science mapping analysis were performed.

The developed countries tended to dominate the topic. The publication outlet tended to be in transportation or technology journals. There were four research themes in existing literature. Technology acceptance model (TAM) and UTAUT2 tended to be used for explaining AV acceptance. AV acceptance studies tended to use two types of psychological concepts for understanding AV acceptance, namely risk related concepts and functional utilitarian benefit related concepts. In the context of research design, quantitative approach tended to be used. Self-driving feature was the most exploited feature of AV in the existing literature. Three research gaps were mapped and future research opportunities were proposed.

This paper provided a comprehensive information that allowed scientists to develop future research on AV acceptance.

There is lack of paper that discussed the bibliometric characteristics of AV acceptance literature. This paper fulfilled the gap.

This study aims to examine the impact of autonomous vehicles adoption motivations (i.e. technological, ecological and intrinsic motivation) on tourists’ pro-environmental behavior and verify the mediating role of tourists’ green self-image between the relationship of eco-friendly attitudes and autonomous vehicles adoption motivations.

The data from 586 national and international tourists were analyzed using the partial least squares method.

The findings revealed that eco-friendly attitude is a significant predictor of tourists’ green self-image; tourists’ green self-image is a significant predictor of autonomous vehicles adoption motivations; and autonomous vehicles adoption motivations are significant predictors of tourists’ pro-environmental behavior. In addition, tourists’ green self-image mediated the relationship between eco-friendly attitudes and autonomous vehicles adoption motivations.

These outcomes provide valuable guidance for the future development of green destination tourism and allow interesting implications for the tourism industry and autonomous vehicles adoption.

本研究探讨自动驾驶汽车采纳动机（即技术、生态和内在动机）对游客环保行为的影响, 并验证游客绿色自我形象在环保态度和自动驾驶汽车采纳动机之间的中介作用。

收集586份来自中国国内外游客的数据, 采用偏最小二乘法进行分析。

研究结果表明, 环保态度显著影响游客绿色自我形象, 进而影响自动驾驶汽车采纳动机, 带来游客的环保行为。此外, 游客的绿色自我形象在环保态度与自动驾驶汽车采纳动机之间起到中介作用。

本研究提出了游客绿色自我形象的概念, 将游客与环保人士的日常行为进行区分。研究结果为绿色目的地旅游业的未来发展提供了方向, 对旅游业和自动驾驶汽车的采纳产生影响。

Este estudio tiene como objetivo examinar el impacto de las motivaciones para la adopción de vehículos autónomos (es decir, motivaciones tecnológicas, ecológicas e intrínsecas) en el comportamiento proambiental de los turistas y verificar el papel mediador de la autoimagen ecológica de los turistas en la relación entre las actitudes ecológicas. y las motivaciones para la adopción de vehículos autónomos.

Se analizaron los datos de 586 turistas nacionales e internacionales mediante el método de mínimos cuadrados parciales.

Los hallazgos revelaron que la actitud ecológica es un predictor importante de la autoimagen ecológica de los turistas; la autoimagen ecológica de los turistas es un predictor importante de las motivaciones para la adopción de vehículos autónomos; y las motivaciones para la adopción de vehículos autónomos son predictores importantes del comportamiento proambiental de los turistas. Además, la autoimagen ecológica de los turistas medió la relación entre las actitudes ecológicas y las motivaciones para la adopción de vehículos autónomos.

Estos resultados proporcionan una orientación valiosa para el desarrollo futuro del turismo de destino ecológico y permiten implicaciones interesantes para la industria turística y la adopción de vehículos autónomos.