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This paper aims to establish and empirically test a theoretical framework to explain the impacts of health quick response (QR) technology trust and acceptance on responsible pandemic travel.

The study integrates trust, confidence and cooperation theory and the technology acceptance model (TAM) to address the research aim. Adopting a quota sampling approach, a national online survey of 1,089 respondents was conducted across mainland China. Structural equation modelling is applied to evaluate the proposed hypotheses.

Results indicate that health QR code technology trust can improve travel confidence and mitigate travel fear, which influences travel intention and social distancing practices among tourists. However, tourists’ acceptance of health QR codes encourages social distancing behaviours rather than travel intentions.

The study illustrates the role of health information technology in improving tourist confidence and responsible travel behaviours in a pandemic context. Furthermore, the research supports and adds to the TAM by investigating the relationships between acceptance of health-related technology and pandemic travel behaviour.

This research helps the local government and tourism managers to evaluate the effectiveness of health QR codes in pandemic travel in China. Strategies for improving tourists’ trust, technology adoption and responsible behaviours are provided.

This study differs from existing literature by investigating the innovative technology (i.e., health QR codes) in pandemic travel. Given the prevalence of health QR codes after the COVID-19 outbreak, it fills a knowledge gap and provides advice to improve pandemic travel safety.

本文旨在建立并实证检验一个理论框架, 以解释健康快速反应 (QR) 技术信任和接受对负责任的大流行旅行的影响。

该研究整合了信任、信心和合作理论以及技术接受模型来解决研究目标。 采用配额抽样的方法, 在中国大陆对 1089 名受访者进行了全国在线调查。 应用结构方程模型来评估提出的假设。

结果表明, 健康二维码技术信任可以提高旅行信心并减轻旅行恐惧, 这会影响游客的旅行意愿和社会疏远做法。 然而, 游客对健康二维码的接受鼓励了社会疏远行为, 而不是旅游意图。

该研究说明了健康信息技术在大流行背景下提高游客信心和负责任的旅行行为方面的作用。 此外, 该研究通过调查健康相关技术的接受度与流行病旅行行为之间的关系, 支持并补充了技术接受度模型。

这项研究帮助当地政府和旅游管理者评估健康二维码在中国大流行旅游中的有效性。 提供了提高游客信任度、技术采用和负责任行为的策略。

这项研究与现有文献的不同之处在于调查了大流行旅行中的创新技术（即健康二维码）。 鉴于 COVID-19 爆发后健康二维码的流行, 它填补了知识空白并提供了改善大流行旅行安全的建议。

Social entrepreneurship has played a significant role in reducing unemployment and poverty, fixing other social issues and environmental concerns. Although there is an increasing concern on social entrepreneurship by the public sector, practitioner and scholars, there are still limited studies on predicting the intention to become a social entrepreneur. Thus, investigating social entrepreneurship intention using a systematic literature review (SLR) approach is crucial due to the lack of systematisation and categorisation in this field. Therefore, this study aims to conduct a SLR to identify the antecedents of social entrepreneurial intention (SEI) used by the previous research. In this sense, this chapter carries out a systematic review of the literature on social entrepreneurship intentions. The review is guided by the PRISMA Statement (Preferred Reporting Items for Systematic reviews and Meta-Analyses). After the identification and screening process, only 56 articles were qualified for further analysis. This SLR focused on articles that are using quantitative research and in the English language published in Scopus. Although there is no limitation in the timeline, the search string results found that the related articles were published between 2010 and 2020. From the thematic analysis, nine main themes were found. The themes are categorised based on the antecedents of SEI used by previous research. There are nine antecedents found: (1) perceived desirability and feasibility, (2) attitude, subjective norms and perceived behavioural control, (3) prior experience, (4) emotional factors, (5) self-efficacy, (6) personality, (7) support systems, (8) skills and competencies and (9) motivational factors. Further analysis of the themes has resulted in ten sub-themes. This chapter's contribution includes offering a clearer picture of the antecedents of social entrepreneurial intention that is still at its infancy stage. Additionally, this chapter managed to identify the research gaps and proposed future research agenda.

The cable inspection robot is essential in maintaining bridge cables. The purpose of this paper is to summarize the maintenance methods of bridge cables. It summarizes the advantages and disadvantages of the critical structures of the external overall frame, intermediate adhesion device, attachment mechanism and driving method of the cable inspection robot. Finally, it discusses the challenges the cable inspection robot faces and the direction of future research.

This paper summarizes the research progress of the cable inspection robot and details the advantages and disadvantages of critical structures such as the external frame, intermediate adhesion device, attachment mechanism, driving method and safe return device of the robot. Finally, it points out the future direction of cable inspection robots, including lightweight design, hybrid design, multi-robot cooperative work, multi-technology integration and intelligent cable inspection digital twin model.

The cables are the main load-bearing components of a bridge, and their safety is crucial. However, subjected to varying loads and environmental influences over a long period, cables are prone to damage, threatening the bridge’s stability. Cable inspection robots can comprehensively detect and repair cable damage, significantly improving efficiency and safety.

This paper provides a comprehensive review of the current research on cable inspection robots, enabling readers to have a comprehensive and systematic understanding of the critical structures and key technologies of cable inspection robots and providing scientific references for researchers working on cable inspection robots.

This chapter explores how the recognition of opportunities regarding developing technology and entering a new market is influenced by the systemic effect of social forces. These include institutions, social networks and the entrepreneur’s cognitive frames. This study adopts a longitudinal perspective by capturing and analysing the phenomenon in two moments: first, when the businesses started to operate domestically and second, when they began to internationalise. The cases of five Brazilian technology firms are analysed. The findings reveal the systemic and mutually reinforcing effect of these social forces on the recognition of opportunities. The entrepreneurs’ cognitive frames were particularly vital in recognising opportunities to enter the Brazilian market. The institutional support provided by universities along with government mechanisms and entrepreneurs’ social networks were essential to accrue experiential and non-experiential knowledge of international markets, therefore contributing to the recognition of international opportunities. The temporal perspective employed in this research assists the understanding of how historical events shape entrepreneurs’ capabilities to recognise and change company discourse to pursue the recognition of international opportunities. The results provide guidelines for researchers, practitioners and policy-makers, particularly in the emerging economies in Latin America, to support the growth and flourishing of entrepreneurial ventures through pursuing international opportunities.

College student’s mental health issues have emerged as a significant public health concern. The urban campus environment, being the primary habitat for college students, plays a crucial role in influencing their mental health.

Based on survey data from 34 Chinese universities and 1173 college students in 2021, this study utilized deep learning and street view images to explore the relationship between various urban campus landscapes, college students' exercise participation, and mental health.

The study revealed substantial variations in campus landscape features, particularly in terms of spatial openness. While green campus landscapes (measured by the Green View Index and Normalized Difference Vegetation Index) showed no significant impact on exercise participation or mental health, the Sky View Factor did. Higher levels of campus openness and exercise frequency were associated with better mental health. The study also underscored that the influence of urban campus landscapes on college students' mental health was mediated by their exercise participation. Notably, spatial openness emerged as the most prominent differentiating factor among urban campus landscape attributes, significantly affecting students' exercise participation and mental health.

Thus, fostering open campus environments and reducing spatial constraints are vital steps in creating a sustainable urban landscape that can help alleviate potential negative effects on college students' mental health issues.

For robots to more actively interact with the surrounding environment in object manipulation tasks or walking, they must understand the physical attributes of objects and surface materials they encounter. Dynamic tactile sensing can effectively capture rich information about material properties. Hence, methods that convey and interpret this tactile information to the user can improve the quality of human–machine interaction. This paper aims to propose a visual-tactile cross-modal retrieval framework to convey tactile information of surface material for perceptual estimation.

The tactile information of a new unknown surface material can be used to retrieve perceptually similar surface from an available surface visual sample set by associating tactile information to visual information of material surfaces. For the proposed framework, the authors propose an online low-rank similarity learning method, which can effectively and efficiently capture the cross-modal relative similarity between visual and tactile modalities.

Experimental results conducted on the Technischen Universität München Haptic Texture Database demonstrate the effectiveness of the proposed framework and the method.

This paper provides a visual-tactile cross-modal perception method for recognizing material surface. By the method, a robot can communicate and interpret the conveyed information about the surface material properties to the user; it will further improve the quality of robot interaction.

Health-related online fake news (HOFN) has become a major social problem. HOFN can lead to the spread of ineffective and even harmful remedies. The study aims to understand Internet users' responses to HOFN during the coronavirus (COVID-19) pandemic using the protective action decision model (PADM).

The authors collected pandemic severity data (regional number of confirmed cases) from government websites of the USA and China (Studies 1 and 2), search behavior from Google and Baidu search engines (Studies 1 and 2) and data regarding trust in two online fake news stories from two national surveys (Studies 2 and 3). All data were analyzed using a multi-level linear model.

The research detected negative time-lagged relationships between pandemic severity and regional HOFN search behavior by three actual fake news stories from the USA and China (Study 1). Importantly, trust in HOFN served as a mediator in the time-lagged relationship between pandemic severity and search behavior (Study 2). Additionally, the relationship between pandemic severity and trust in HOFN varied according to individuals' perceived control (Study 3).

The authors' results underscore the important role of PADM in understanding Internet users' trust in and search for HOFN. When people trust HOFN, they may seek more information to implement further protective actions. Importantly, it appears that trust in HOFN varies with environmental cues (regional pandemic severity) and with individuals' perceived control, providing insight into developing coping strategies during a pandemic.

This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.

The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.

The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.

This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.