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The purpose of this study is to systematically identify, assess, and categorize the barriers to digital transformation (DT) in the engineering and construction sectors, and thus to better understand the impact and how these sectors might be overcome.

This study adopted a sequential mixed qualitative and quantitative data collection and analysis approach. DT barriers were first identified from relevant literature and verified by an expert panel. Then, a questionnaire survey assessing the impacts of the identified DT barriers was distributed to construction professionals in China, and 192 valid responses were retrieved. Further, the data obtained were analyzed using ranking analysis, exploratory factor analysis (EFA), and partial least squares-structural equation modeling (PLS-SEM).

Based on the ranking analysis, the top three barriers are “lack of industry-specific standards and laws,” “lack of clear vision, strategy and direction for DT,” and “lack of support from top management for DT.” EFA enabled the grouping of the 26 barriers into 3 categories: (1) lack of laws and regulations (LLR), (2) lack of support and leadership (LSL), and (3) lack of resources and professionals (LRP). The PLS-SEM analysis revealed that LLR, LSL, and LRP were found to have significant negative impacts on DT.

These findings contribute to the body of knowledge on DT in the construction industry and help construction firms and government bodies improve the understanding of these barriers to DT and put forward relevant policies and incentives, thus seizing the DT benefits as a way to enhance construction project management.

The safety and reliability of high-speed trains rely on the structural integrity of their components and the dynamic performance of the entire vehicle system. This paper aims to define and substantiate the assessment of the structural integrity and dynamical integrity of high-speed trains in both theory and practice. The key principles and approaches will be proposed, and their applications to high-speed trains in China will be presented.

First, the structural integrity and dynamical integrity of high-speed trains are defined, and their relationship is introduced. Then, the principles for assessing the structural integrity of structural and dynamical components are presented and practical examples of gearboxes and dampers are provided. Finally, the principles and approaches for assessing the dynamical integrity of high-speed trains are presented and a novel operational assessment method is further presented.

Vehicle system dynamics is the core of the proposed framework that provides the loads and vibrations on train components and the dynamic performance of the entire vehicle system. For assessing the structural integrity of structural components, an open-loop analysis considering both normal and abnormal vehicle conditions is needed. For assessing the structural integrity of dynamical components, a closed-loop analysis involving the influence of wear and degradation on vehicle system dynamics is needed. The analysis of vehicle system dynamics should follow the principles of complete objects, conditions and indices. Numerical, experimental and operational approaches should be combined to achieve effective assessments.

The practical applications demonstrate that assessing the structural integrity and dynamical integrity of high-speed trains can support better control of critical defects, better lifespan management of train components and better maintenance decision-making for high-speed trains.

Promoting electric vehicles (EVs) is an effective way to achieve carbon neutrality. If EVs are widely adopted, this will undoubtedly be good for the environment. The purpose of this study is to analyze the impact of network externalities and subsidy on the strategies of manufacturer under a carbon neutrality constraint.

In this paper, the authors propose a game-theoretic framework in an EVs supply chain consisting of a government, a manufacturer and a group of consumers. The authors examine two subsidy options and explain the choice of optimal strategies for government and manufacturer.

First, the authors find that the both network externalities of charging stations and government subsidy can promote the EV market. Second, under a relaxed carbon neutrality constraint, even if the government’s purchase subsidy investment is larger than the carbon emission reduction technology subsidy investment, the purchase subsidy policy is still optimal. Third, under a strict carbon neutrality constraint, when the cost coefficient of carbon emission reduction and the effectiveness of carbon emission reduction technology are larger, social welfare will instead decrease with the increase of the effectiveness of emission reduction technology and then, the manufacturer’s investment in carbon emission reduction technology is lower. In the extended model, the authors find the effectiveness of carbon emission reduction technology can also promote the EV market and social welfare (or consumer surplus) is the same whatever the subsidy strategy.

The network externalities of charging stations and the subsidy effect of the government have a superimposition effect on the promotion of EVs. When the network effect of charging stations is relatively strong, government can withdraw from the subsidized market. When the network effect of charging stations is relatively weak, government can intervene appropriately.

Comparing previous studies, this study reveals the impact of government intervention, network effects and carbon neutrality constraints on the EV supply chain. From a sustainability perspective, these insights are compelling for both EV manufacturers and policymakers.

This study aims to track and integrate past research concerning how tourism might improve natural disaster management, detect thematic research areas and develop an agenda for future research.

Using a systematic literature review methodology, this research synthesises academic papers indexed in the Scopus, Web of Science and EBSCOhost (Hospitality & Tourism Complete) databases. A total of 34 articles published in peer-reviewed English journals were systematically selected for review and analysed using a thematic approach.

This review highlights a growing interest in the potential and value of tourism for disaster management. Eight key themes emerged in the review, including education and information communication about disasters; tourism facilities for disaster preparation; tourism resources in emergency conditions; livelihoods and economic recovery; disaster-related tourism attractions for recovery; destination re-branding and re-framing; community reinvigoration in tourism-driven disaster recovery; and special-interest tourism for recovery. A natural disaster management schematic empowered by tourism highlights tourism industry opportunities to positively impact the entire disaster management process.

To the best of the authors’ knowledge, this work offers the first systematic review of the research on how tourism might support multiple stages of natural disaster management. This study thus complements and enriches extant literature reviews on the nexus between tourism and disaster management. The framework presents timely guidelines for planners, developers and other key stakeholders to leverage tourism initiatives to improve disaster management outcomes.

本研究旨在追溯和整合以往研究中关于旅游业如何提升自然灾害管理的实践和发现, 明确主要研究领域并提出未来研究议程。

通过系统文献综述方法, 本研究综合了Scopus, Web of Science和EBSCOhost（Hospitality & Tourism Complete）数据库中索引的学术论文。共有34篇发表在同行评审的英文期刊上的文章被系统地筛选出来, 随后使用主题分析方法进行分析。

文献综述发现, 学者和行业实践者对旅游业在灾害管理方面的潜力和价值越来越感兴趣。综述分析发现了八个关键领域：灾害的教育和信息交流; 旅游设施用于备灾; 旅游资源用于紧急情况; 生计和经济复苏; 灾难相关的旅游吸引物; 灾难地品牌重塑和重构; 旅游业驱动的社区灾后重振; 灾后重建中的特殊兴趣旅游。本文设计了由旅游业赋权的自然灾害管理示意图, 突出了旅游业对整个灾害管理进程产生的积极影响和潜在机会。

本文首次系统地回顾了旅游业如何支持多个自然灾害管理阶段的相关研究。此项研究补充和丰富了关于旅游业与灾害管理之间关系的现有文献综述。该框架为规划者、开发商和其他主要利益相关者在利用旅游举措来改善灾害管理方面提供了及时的指导方针。

Este estudio identifica e integra las investigaciones anteriores sobre cómo el turismo podría mejorar la gestión de desastres naturales, detecta áreas temáticas de investigación y elabora una agenda para la investigación futura.

Usando una metodología de revisión sistemática de la literatura, esta investigación sintetiza artículos académicos indexados en las bases de datos Scopus, Web of Science y EBSCOhost (Hospitality & Tourism Complete). Se seleccionaron sistemáticamente un total de 34 artículos publicados en revistas inglesas con revisión por pares para su revisión y análisis mediante un enfoque temático.

Esta revisión pone de relieve el creciente interés por el potencial y el valor del turismo en la gestión de desastres. En la revisión surgieron ocho temas clave: la educación y la comunicación de información sobre desastres; instalaciones turísticas para la preparación ante desastres; recursos turísticos en condiciones de emergencia; medios de subsistencia y recuperación económica; atracciones turísticas relacionadas con los desastres para la recuperación; cambio de marca y replanteamiento del destino; revitalización de la comunidad en la recuperación de desastres impulsada por el turismo; y el turismo de interés especial para la recuperación. Un esquema de gestión de desastres naturales potenciado por el turismo pone de relieve las oportunidades de la industria turística para influir positivamente en todo el proceso de gestión de desastres.

Este trabajo ofrece la primera revisión sistemática de la investigación sobre cómo el turismo podría apoyar las múltiples etapas de la gestión de desastres naturales. Este estudio complementa y enriquece la bibliografía existente sobre el nexo entre el turismo y la gestión de desastres. El marco presenta directrices oportunas para que los planificadores, los promotores y otras partes interesadas clave aprovechen las iniciativas turísticas para mejorar los resultados de la gestión de desastres.

Introduction: When people need to take decisions, being economic decisions or otherwise, their decisions tend to rely on information the brain has already processed, and this includes the resources that the person has already invested. This is called sunk cost bias in the behavioural economics literature. On the other hand, mental practices could lead to the mental accounting bias, where people allocate a different value to a fixed amount of money, depending on circumstances.

Purpose: In this chapter, both biases mental accounting and sunk cost are investigated for the tourism industry in Turkey.

Methodology: The topic is researched through scenario-based questions and the Chi-square Automatic Interaction Detector (CHAID) method is applied.

Findings: As a result, it could be reported that people, regardless of gender, fall into sunk cost and mental accounting biases in decisions relating to their vacations. Mental accounting biases can be primarily explained using the scenario questions posed rather than gender, education, and income while sunk cost bias is explained by status, ‘being s university student’ and ‘income level’.

Practical implications: Rapid price changes in the tourism industry can disturb consumers who are mental accounting and sunk cost biased. So, they can change their holiday preferences or be dissatisfied with it and give negative feedback.

The research analyzes the influence of three environmental triggers, i.e. awareness, concern and knowledge on environmental attachment and green motivation that affect tourists' pro-environmental behavior in the Pakistan’s tourism industry. Furthermore, this study has analyzed the moderating role of moral obligation concerning environmental attachment and green motivation on tourists' pro-environmental behavior.

Data were gathered via a structured questionnaire by 237 local (domestic) tourists of Pakistan. Furthermore, the data were examined by employing SmartPLS.

Findings demonstrate that all three environmental triggers have a positive and significant relationship with environmental attachment and green motivation. Accordingly, environmental attachment and green motivation promote tourists' pro-environmental behavior. Furthermore, the moderating role of moral obligations has also been incorporated in the study. The finding reveals a strong and positive relationship among environmental attachment and tourists' pro-environmental behaviors during high moral obligations. In contrast, moral obligations do not moderate association between green motivation and tourists' pro-environmental behavior. Therefore, competent authorities should facilitate tourists to adopt environmentally friendly practices; which will ultimately promote pro-environmental behavior.

This study provides useful insights regarding the role of tourism in fostering environmental attachment and green motivation that sequentially influence tourist pro-environmental behavior. Secondly, this research has employed moral obligations as a moderator to identify the changes in tourists’ pro-environmental behavior based on individuals' ethical considerations. Hence, the study provides an in-depth insight into tourists' behavior. Lastly, the present research offers effective strategies for the tourism sector and other competent authorities to increase green activities that can embed the importance of the environment among individuals.

This study aims to test the compensatory consumption theory with the explicit hypothesis that China's new-rich tend to waste relatively more food.

In this study, the authors use Heckman two-step probit model to empirically investigate the new-rich consumption behavior related to food waste.

The results show that new-rich is associated with restaurant leftovers and less likely to take them home, which supports the compensatory consumption hypothesis.

Understanding the empirical evidence supporting compensatory consumption theory may improve forecasts, which feed into early warning systems for food insecurity. And it also avoids unreasonable food policies.

This research is a first attempt to place food waste in a compensatory-consumption perspective, which sheds light on a new theory for explaining increasing food waste in developing countries.

This study was aimed at obtaining a micro understanding of corporate social responsibility (CSR) by investigating the effect of perceived CSR on job performance. Especially, an attempt is made to explore the mediating role of perceived organizational support and the moderating role of collectivism on the relationship between perceived CSR and job performance.

This study collected questionnaire data from 219 employees of Chinese manufacturing firms, then used hierarchical multiple regression analysis to test our theoretical model.

Our empirical results demonstrate that perceived internal and perceived external CSR are positively associated with job performance. In addition, perceived organizational support mediates the relationship between perceived CSR and job performance, and collectivism positively moderates the relationship between perceived external CSR and perceived organizational support.

This study highlights the importance of adopting various strategies to conduct CSR practices, enhancing perceived organizational support and leveraging employee collectivism, which would be beneficial to improve job performance.

This study reveals employees’ underlying attitudes and behaviors responses to perceived CSR, thereby deepening the micro understanding of CSR. In addition, it extends the literature on social exchange theory by dividing perceived CSR into perceived internal and perceived external CSR and exploring their separate effects on job performance. Moreover, the study reveals the mediating role of perceived organizational support and the moderating role of collectivism, enriching the knowledge based on social exchange theory.

By discussing the spatial spillover effect and regional heterogeneity of digital economy and green agricultural development level, this paper aims to provide countermeasures and suggestions for the better development of green agriculture in the contemporary era when digital economy is universally developed and at the same time provide development suggestions suitable for green agriculture's development characteristics and initial conditions for different regions.

This paper discusses the theoretical foundation of the digital economy and green agriculture development and utilizes panel data from 30 provinces in China from 2011 to 2018. By employing the Super-Efficiency Slack-based Measure and Malmquist-Luenberger (SBM-ML) model based on unexpected output to measure the total factor productivity of green agriculture and employing the spatial panel Durbin model to empirically test the spatiotemporal effects of the digital economy on green agriculture development from both temporal and spatial dimensions. Finally, the model is tested for robustness as well as heterogeneity.

The research findings are as follows: First, from the perspective of time effect, digital economy has a continuous driving effect on the development of green agriculture and with the passage of time, this effect becomes more and more prominent; second, from the perspective of spatial effect, digital economy has a significant positive impact on the development of local green agriculture, while digital economy has a significant negative impact on the development of surrounding green agriculture. Finally, the impact of digital economy on the development of green agriculture shows significant differences in different dimensions and regions.

As an important driver of economic growth, the digital economy has injected new impetus into agricultural and rural development. Along with the intensifying environmental pollution problems, how to influence the green development of agriculture through the digital economy is a proposition worthy of attention nowadays. This paper analyzes the relationship between the digital economy and agricultural green development in multiple dimensions by exploring the temporal and spatial spillover effects of the digital economy on agricultural green development, as well as the heterogeneity in different dimensions and in different regions and derives policy insights accordingly in order to improve relevant policies.

Tourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in product/service planning, marketing communication and attracting and retaining tourists. This research employs Hofstede's cultural dimensions theory to analyse the variations in destination image perceptions of Chinese-speaking and English-speaking tourists to Xiamen, a prominent tourist attraction in China.

The evaluation utilizes a two-stage approach, incorporating LDA and BERT-BILSTM models. By leveraging text mining, sentiment analysis and t-tests, this research investigates the variations in tourists' perceptions of Xiamen across different cultures.

The results reveal that cultural disparities significantly impact tourists' perceived image of Xiamen, particularly regarding their preferences for renowned tourist destinations and the factors influencing their travel experience.

This research pioneers applying natural language processing methods and machine learning techniques to affirm the substantial differences in the perceptions of tourist destinations among Chinese-speaking and English-speaking tourists based on Hofstede's cultural theory. The findings furnish theoretical insights for destination marketing organizations to target diverse cultural tourists through precise marketing strategies and illuminate the practical application of Hofstede's cultural theory in tourism and hospitality.