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The purpose of this paper is to provide an updated and theory-driven meta-analysis of work–family conflict (WFC). The authors quantitatively review the relationships between WFC and three pairs of antecedents and several consequences.

A meta-analysis was conducted to investigate the research model. Specifically, the authors adopt a resource-based perspective (i.e. conservation of resources (COR) theory) to investigate the relationships between three pairs of antecedents (demand/control, autonomy/hours spent at both work and family domains and role overload/flexibility) and WFC. While COR theory argues that resource loss perceptions would generate much more influential impact on individuals comparing to that of resource gain, both favourable and unfavourable antecedents, representing resource gain and resource loss, respectively, are incorporated in each pair of antecedents. This inclusion of contrary antecedents allows the authors to investigate the comparison of the relationships between the favourable antecedents – WFC relationships and the unfavourable factors – WFC relationships. In addition, the authors analyse how and to what extent WFC influences employees’ attitudes (i.e. commitment), behaviours (i.e. performance) towards both work and family, and their career consequences.

The meta-analytical findings generally support the hypotheses. Work and family demands are found positively related to WFC, while having a control at either work or family would be negatively related to WFC. Perceiving a high level of autonomy at work is negatively related to WFC, and hours spend at work has a positive relation with WFC. Role overload at both work and family are associated with WFC, while having flexibility from work schedule would be negatively related to WFC. In addition, WFC is negatively related to employee career development outcomes.

First, the authors adopt a resource-based view to organise both favourable and unfavourable antecedents of WFC. Second, this paper aims at extending the investigation on WFC consequences to performance at both work and family, commitment to both work and family, and employee career outcomes, because all of them are critical consequences but not fully explored in previous meta-analyses. Third, this paper has incorporated newly explored correlates of WFC (e.g. employee career development-related outcomes) and quantitatively reviewed their relationships with WFC.

This study aims to investigate the metaverse’s capability to foster sustainable tourism through word-of-mouth (WoM), by integrating embodied social presence theory with social identity theory. It aims to unveil how the interplay between metaverse technology and user attributes enhances tourists’ experiences and satisfaction, thereby promoting WoM for sustainable tourism practices.

A scenario-based survey research design was used, comprising a survey of 528 respondents. This study used structural equation modelling to analyse the data, focusing on the relationships between technological features, user attributes, social presence and their combined effect on promoting sustainable tourism through WoM.

Results indicate that the metaverse significantly enhances social presence and tourist satisfaction, which in turn, fosters WoM for sustainable tourism. Key factors include technological attributes (individuality, empathy, naturalness and immersion) and user attributes (prior experience and interest in sustainable practices), which collectively influence the propensity for sustainable WoM, also impacted by prosocial identity and subcultural identification.

This research contributes to the literature by demonstrating the metaverse’s potential in enhancing sustainable tourism promotion through innovative technological engagement. It offers practical insights for destination marketers and service providers on leveraging metaverse technology to engage a wider audience in sustainable tourism practices, marking a significant step towards integrating digital innovations with ecological sustainability efforts.

本研究旨在探讨元宇宙促进可持续旅游的能力, 通过融合具身社会存在理论与社会认同理论, 分析元宇宙技术与用户属性之间的相互作用如何增强游客的体验和满意度, 从而推动可持续旅游实践的口碑（WoM）传播。

采用基于情境的调查研究设计, 对528名受访者进行了问卷调查。本研究运用结构方程模型对数据进行分析, 重点关注技术特性、用户属性、社交存在感及其对通过WoM促进可持续旅游的联合效应。

研究结果表明, 元宇宙显著增强了社交存在感、游客满意度和体验感, 进而促进了可持续旅游的WoM。关键因素包括技术属性（个性化、共情、自然性和沉浸感）和用户属性（先前经验和对可持续性的兴趣）, 这些因素共同影响了可持续性WoM的倾向, 同时也受到亲社会身份和亚文化认同的影响。

本研究通过展示元宇宙在通过创新技术参与中增强可持续旅游推广的潜力, 为文献做出了贡献。它为目的地营销人员和政策制定者提供了实际洞见, 关于如何利用元宇宙技术吸引更广泛的受众参与可持续旅游实践, 标志着将数字创新与生态可持续性努力相结合的重要一步。

Este estudio investiga la capacidad del metaverso para fomentar el turismo sostenible a través del boca a boca (WoM), integrando la teoría de la presencia social corporal con la teoría de la identidad social. Su objetivo es desvelar cómo la interacción entre la tecnología del metaverso y los atributos de los usuarios mejora las experiencias y la satisfacción de los turistas, promoviendo así el WoM para prácticas de turismo sostenible.

Se utilizó un diseño de investigación con encuestas basadas en escenarios, con 528 participantes. El estudio empleó modelos de ecuaciones estructurales para analizar los datos, centrándose en las relaciones entre las características tecnológicas, los atributos de los usuarios, la presencia social y su efecto combinado en la promoción del turismo sostenible a través del WoM.

Los resultados indican que el metaverso mejora significativamente la presencia social y la satisfacción del turista, lo que a su vez fomenta el WoM del turismo sostenible. Los factores clave incluyen atributos tecnológicos (individualidad, empatía, naturalidad e inmersión) y atributos de los usuarios (experiencia previa e interés por las prácticas sostenibles), que influyen colectivamente en la propensión al WoM sostenible, también afectado por la identidad prosocial y la identificación subcultural.

Esta investigación contribuye a la literatura al demostrar el potencial del metaverso para mejorar la promoción del turismo sostenible a través de un compromiso tecnológico innovador. Ofrece perspectivas prácticas para los comercializadores de destinos y los proveedores de servicios para aprovechar la tecnología del metaverso para involucrar a un público más amplio en prácticas de turismo sostenible, marcando un paso significativo hacia la integración de las innovaciones digitales con los esfuerzos de sostenibilidad ecológica.

Although real estate investment decisions are among the most important managerial decisions, such decisions are usually made in an ad hoc fashion in Southeast Asia. The purpose of this study is to present a two-tier multi-criteria decision-making model for real estate investment decisions across three rapidly growing but significantly understudied Southeast Asian countries: Cambodia, Myanmar and Vietnam.

Using three data sources (secondary data, two surveys and nearly 100 experts and senior executives), the authors applied a combination of the Analytic Hierarchy Process and the Simple Additive Weighting (or weighted sum) methods as two special cases of multi-criteria decision-making to assess nine real estate investment projects across Cambodia, Myanmar and Vietnam.

The results of this study indicated that Vietnam, Cambodia and Myanmar were the first, second and third most preferred countries for real estate investments, respectively. Moreover, the results clearly show a trade-off between perceived country risk and financial returns, indicating that a higher perceived country risk can be compensated for with higher financial returns.

Real estate investment decisions are usually made in an ad hoc manner in Southeast Asia. This study helps investors make more informed decisions when investing in real estate projects across three rapidly growing but significantly understudied Southeast Asian countries: Cambodia, Myanmar and Vietnam.

This study aims to chart the impact of technological advancements on tourism from the post–Second World War era to the present and forecast their influence until 2050. It assesses how technologies have reshaped travel experiences and operations, with a focus on upcoming innovations such as the metaverse, Web 3.0 and AI, and their implications for sustainable and ethical tourism.

This study uses a hybrid approach, combining historical analysis and future projections. It analyzes archival data, industry reports and academic literature.

This study identifies crucial technological milestones that have significantly impacted tourism, including the rise of commercial aviation, the internet and AI. Future trends suggest emerging technologies will further transform the sector. Challenges in sustainability, ethics and inclusivity are highlighted as critical considerations for future development.

This paper offers a unique longitudinal perspective on technology’s influence on tourism, bridging past trends with future projections.

本研究采取混合方法, 融合历史分析与未来趋势预测。研究分析了丰富的档案数据、行业报告以及学术文献。

旨在勾勒从二战后至今技术进步对旅游业的影响, 并展望至2050年的潜在影响。本研究着重评估技术如何重塑旅游体验和运作, 特别是对元宇宙、网络3.0和人工智能等即将到来的创新技术及其对可持续和伦理旅游的意义。

识别了旅游业中关键的技术里程碑, 包括商业航空、互联网和人工智能的崛起。研究指出, 未来趋势显示新兴技术将继续深刻改变旅游业。同时强调, 可持续性、伦理和包容性是未来发展中不可忽视的关键要素。

本文从独特的纵向视角出发, 深入探讨了技术对旅游业的历史与未来影响, 将过去发展趋势与未来展望紧密结合。

Este estudio emplea un enfoque híbrido que combina el análisis histórico y las proyecciones de futuro. Analiza datos de archivo, informes del sector y bibliografía académica.

La investigación pretende trazar el impacto de los avances tecnológicos en el turismo desde la era posterior a la Segunda Guerra Mundial hasta la actualidad y prever su influencia hasta 2050. Evalúa cómo las tecnologías han reconfigurado las experiencias y las operaciones de viaje, centrándose en las próximas innovaciones como el Metaverso, la Web 3.0 y la IA, y sus implicaciones para un turismo sostenible y ético.

El estudio identifica hitos tecnológicos cruciales que han tenido un impacto significativo en el turismo, como el auge de la aviación comercial, Internet y la IA. Las tendencias futuras sugieren que las tecnologías emergentes transformarán aún más el sector. Los retos en sostenibilidad, ética e inclusividad se destacan como consideraciones críticas para el desarrollo futuro.

Este artículo ofrece una perspectiva longitudinal única sobre la influencia de la tecnología en el turismo, tendiendo un puente entre las tendencias pasadas y las proyecciones futuras.

Public housing in Hong Kong plays an essential role in accommodation supply to people of low income. Access to social resources and rent levels of nearby private residential housing are two critical issues impacting the well-being of residents living in public housing estates. However, previous research has rarely focused on the spatial distribution of public housing estates through exploring these two critical issues. On the other hand, Hong Kong is currently experiencing an urban renewal process. It would be beneficial to consider these critical issues for spatial allocation of public housing in urban renewal decision making. The purpose of this paper is to investigate these two critical issues in relation to the spatial distribution of public housing estates in Kowloon, Hong Kong.

Seven spatial variables were selected to reflect these critical issues. Spatial analysis in Geographic Information System was conducted to process the data required. Multiple logistic regression was employed to analyse the relationships between the spatial location of public housing estates and the seven selected variables.

Based on the analysis results, several problems as well as geographical advantages of the current location of public housing estates were discovered, which can be valuable references for decision making by government authorities for public housing development in the future.

This research is a pilot study on the spatial distribution of public housing estates and the critical influencing factors in Hong Kong, undertaken by applying both spatial analysis and statistical methods. It can help relevant decision makers deal with current problems of public housing location and make informed decisions on where to locate new housing projects in an urban renewal process, which can increase the equal distribution of social resources and improve the well-being of people living in public housing.

Urban renewal projects provide an effective channel for adjusting land-use allocation and improving land-use efficiency, which effectively increases land supply. The purpose of this paper is to support the decision-making process of sustainable land use in urban renewal projects. A GIS-based framework, consisting of a planning support model and a land information database, has been developed in a typical high-density city – Hong Kong.

A qualitative and quantitative combined methodology is designed for this research. Several research methods such as expert interviews, focus group meetings, and case studies and technical approaches such as GIS, MCA, and AHP are adopted in this research.

General and sustainability criteria for land-use decision making in urban renewal along with associated data are identified, and an integrated approach to quantitatively assessing land-use suitability is developed.

The framework was developed in a loosely coupled form rather than a software package installed on a computer, and the development of the land information database was a time-consuming process as a large amount of data were collected, processed, and analyzed.

Application of the proposed framework is reported by showing analyzed results of land-use suitability. The framework proves a useful tool for both practitioners and researchers involved in sustainable land use for urban renewal.

The purpose of this paper is to present a fuzzy‐analysis‐based scoring (F‐EPS) method for measuring contractors' environmental performance during project construction in order to assist contractors in improving their environmental performance during project construction.

To review relevant literature and conduct practical investigations for establishing the indicators which measure the environmental performance made by contractors. This will be followed by establishing the performance benchmarks for measuring the performance level of the environmental indicators, and presenting a fuzzy‐analysis‐based scoring method for measuring a contractor's environmental performance. A practical case was adopted to demonstrate the procedures of applying the F‐EPS model.

This paper provides an alternative method, fuzzy‐analysis‐based scoring (F‐EPS) method for assessing contractors' environmental performance. Whilst there are existing methods developed in previous studies for assessing the environmental performance of construction projects, it appears that little study has been conducted to investigate measuring the environmental performance by contractors during the construction process. Shen et al. (2005) suggested measuring contractors' environmental performance by using an environmental performance score (EPS). However, the major weakness of using the EPS model is that the model does not take into consideration the characteristics of the subjective and fuzzy assessment process. The F‐EPS method is thus developed to help mitigate these weaknesses.

F‐EPS model provides a simple and easy‐to‐apply tool to assist contractors in identifying the poor environmental performance areas; thus corrective methods can be used to make improvement. It provides an effective method for contractors' environmental performance to be communicated to involved stakeholders.

There are many variables affecting contractors' environmental performance, which present difficulties for measuring the performance efficiently and effectively. This paper has presented a new approach, a fuzzy‐analysis‐based method, for measuring the environmental performance used by contractors through applying the fuzzy analysis principles.

A waste charging policy had been implemented in major Asian cities like Taipei and Seoul years ago. Hong Kong is not yet to charge household rubbish, which is one of the major municipal solid waste sources. Landfill places will be exhausted in a year or two in the city. The purpose of this study is to investigate the effectiveness of waste charging policies by exploring relationships among social norms, lifestyles, attitudes towards waste charging policy and pro-environmental behaviour.

Purposeful sampling was used in this study to recruit university students to take part in the survey. Purposeful sampling helps to make a “highly credible sample” (Gall et al., 2006, p.185). This study distributed questionnaires to respondents aged over 18 years. Among them, there were 404 valid questionnaires (35.6% male; 64.4% female) that were returned with a response rate of 53.9%.

It is found that attitude towards waste charging policies affects pro-environmental behaviour through lifestyles and social norms. Female respondents’ pro-environmental behaviours are affected by their lifestyles and social norms. But male respondents’ lifestyle is affected by their attitude towards policy. Attitude towards charging policy does not have an impact on young people's pro-environmental behaviours.

Social acceptance towards any environmental policy is a must for its final outcome. It is because attitude towards any environmental policy is a starting point to affect pro-environmental behaviours. Female respondents are more engaged in pro-environmental behaviour compared to male. Almost all big cities encourage the re-use, re-cycle and reduce of waste. Before designing and implementing relevant policy, stakeholder participation is important. The new environmental policy usually has stricter measures, such as heavier charge on municipal waste. Policymakers are advised to obtain solid arguments and data support to convince stakeholders.

This chapter demonstrates the effectiveness of using Generative AI (GenAI) to develop AI literacy in the context of human–AI collaborative writing among secondary students. The study used Vygotsky’s Zone of Proximal Development to scaffold students’ understanding of AI concepts and their application of AI tools in the context of AI-assisted digital writing. Four courses were conducted to teach students four AI applications: POE, DeepAI, Sudowrite, and MidJourney. Ten students participated in the course learning, and three attended semi-structured interviews. The results showed that GenAI is beneficial in enhancing students’ writing inspiration, generating amazing images for their productions, improving their prompt literacy, enhancing meta-cognition, and strengthening emotional expression and creative thinking. However, the study also found that GenAI poses challenges for students due to high requirements for prompt skills, easy-to-distracted attention, and strict AI ethics. Future research can explore different learning outcomes of this relevant research in various educational levels, such as K-12 and higher education.

As the modern manufacturing twining seamlessly with logistics operations for value adding services, logistics service is becoming more and more significant. Under this research background, the purpose of this paper is to introduce an innovative evaluation model for customer satisfaction using fuzzy analytic hierarchy process (FAHP).

This model uses triangular fuzzy concept to determine the weight of each index so that subjective or objective weighting is addressed. A case study from two large express companies in China is used to demonstrate the feasibility and practicality of the proposed model for examining customer satisfaction.

One of the key findings is that Company B has higher customer satisfaction than Company A due to its quick response and flexible logistics strategy. This paper has several contributions. First, A FAHP-based customer satisfaction evaluation model is proposed for the logistics service. Second, the triangular fuzzy concept is introduced to determine the weight of each index so as to addresses the limitation of subjective or objective weighting method. Third, a case study demonstrates the implementation of the model.

First, this paper considers the fuzzy AHP for the customer satisfaction evaluation. Comparing with other multi-criteria decision-making methods like data envelopment analysis, evidential reasoning approach, and multi-attribute value theory will be carried out in the near future. Second, the manufacturing modes like make-to-order, make-to-stock, and mass-customized production may have different logistics support so that the final products may reach the final targets quickly. How to evaluate various mode-based logistics and their customer satisfactions have great significance. Finally, Big Data-enabled customer satisfaction evaluation approaches may be a possible solution.

Based on the data from questionnaire, it is found that, in practical applications, manufacturing enterprises should amend the index system according to the specific business scope and the production characteristics. Manufacturing enterprises need to collect large amounts of data through market research and conduct the measurement on the related coefficient between the measurement indicators and customer satisfaction degree. After that, they can make sorting and filtering on the measurement index according to the measurement results.

Customer satisfaction is very important to manufacturing and logistics enterprises due to its time constraints. The physical products with services like logistics are paid close attention to by the final customers.

The contribution of this paper is as follows: a FAHP-based customer satisfaction evaluation model is proposed for the logistics service; triangular fuzzy concept is introduced to determine the weight of each index so as to addresses the limitation of subjective or objective weighting method; a case study was used to demonstrate the implementation of the model. One of the key findings is that Company B has higher customer satisfaction than Company B due to its quick response and flexible logistics strategy.