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Motivated by the significant role of uncertainty in affecting investment decisions and China's economic leadership in Asia, this paper investigates the predictive role of exposure to Chinese economic policy uncertainty at the individual stock level in large Asian markets.

We estimate the monthly uncertainty exposure (beta) for each stock and then employ the portfolio-level sorting analysis to investigate the relationship between the China’s uncertainty exposure and the future returns of major Asian markets over multiple trading horizons. The raw returns of the high-minus-low portfolios are then adjusted using conventional asset pricing models to investigate whether the relationship is explained by common risk factors. Finally, we check the robustness of the portfolio-level results through firm-level Fama and MacBeth (1973) regressions.

Applying portfolio-level sorting analysis, we reveal that exposure to Chinese uncertainty is negatively related to the future returns of large stocks over multiple trading horizons in Japan, Hong Kong and India. We discover this is unexplained by common risk factors, including market, size, value, profitability, investment and momentum, and is robust to the specification of stock-level Fama and MacBeth (1973) regressions.

Our analysis demonstrates the spillover effects of Chinese economic policy uncertainty across the region, provides evidence of China's emerging economic leadership, and offers trading strategies for managing uncertainty risks.

The findings of the study significantly improve our understanding of stock return predictability in Asian markets. Unlike previous studies, our results challenge the leading role of the US by providing a new intra-regional return predictor, namely, China’s uncertainty exposure. These results also evidence the continuing integration of the Asian economy and financial markets. However, contrary findings for some Asian markets point toward certain market-specific features. Compared with market-level research, our analysis provides deeper insights into the performance of individual stocks and is of particular importance to investors and other market participants.

This paper reviews the literature on disability inclusion (DI) in supply and demand chains of hospitality and tourism (H&T) organisations. The purpose of this study is to assess disability support and interventions within H&T organisations. Through the assessment, we identified gaps to recommend H&T scholars’ and practitioners’ knowledge of DI from new perspectives.

An integrative review was conducted to examine the published evidence on DI in H&T organisations. This study used high-ranking H&T journals from the Scopus and Web of Science databases between 2001 and 2023. In total, 101 empirical papers met the criteria for the review analysis.

DI focuses heavily on customer disabilities, with scant research on DI in H&T employment. The review emphasises the critical need for empirical research into the varied disability employment ecosystem within H&T organisations, focusing on social integration for inclusive workplaces.

This study contributes to the H&T literature, which previously overlooked the disability context in diversity. The research offers strategies for creating inclusive environments in the H&T industry for disabled consumers and producers.

This paper aims to explain the factors shaping collective action within low-cost housing communities, focusing on parcel holders, through the utilisation of an expanded institutional analysis development (IAD) framework, which extends upon Ostrom’s foundational framework. Additionally, the paper explores four different property management approaches accessible to these communities.

The research employed a mixed-method approach comprising four sequential steps. Firstly, a quantitative inquiry entailed a questionnaire survey administered to 633 parcel holders across four low-cost housing schemes, aimed at discerning factors influencing collective action. Subsequently, a qualitative investigation involved face-to-face interviews with key stakeholders to elucidate the contributing factors of collective action, with a specific focus on Nursa Kurnia (a successful low-cost housing scheme comprising 200 units), accessible via Kuala Lumpur Middle Ring Road II. Thirdly, the study explored the social practice of “commoning the governance”. Lastly, the paper advocated for housing policy interventions, specifically proposing government subsidies for lower-income parcel holders.

Exemplified by the success of Nursa Kurnia, the research findings emphasised the importance of shifting local management’s mindset from a zero-sum approach to a win-win perspective. It highlighted the pivotal role of four factors (resource system, governance system, context and historical development) in shaping collective action and fostering improved property management practices. Moreover, the study highlighted the potential of “commoning the governance” as a new approach capable of addressing collective action challenges in low-cost housing management, presenting a promising avenue for future endeavours.

As more studies utilising the expanded IAD framework become available in the future, there is potential for further refinement and enhancement of the framework.

This study offers valuable insights for policymakers, property developers, local management and local communities, shedding light on challenges associated with the self-organisation of shared resources. Moreover, it highlights the potential of “commoning the governance” as a new property management approach to mitigate the impact of collective action problems.

The well-being of society’s most vulnerable segment is indicative of the overall societal health. This underscores the significance of addressing the interests and needs of these lower-income groups within the broader social context.

Exploring collective action within the context of self-organising low-cost housing, the study delves into an area marked by persistent challenges like free-riding tendencies and vandalism. Despite significant attention given to collective action issues in the past, the novel approach of “commoning the governance” remains unexamined in the realm of low-cost housing maintenance and management.

This chapter reviews the Metaverse’s inception and digitalization’s impact on the fashion and apparel retail industry. This review demonstrates how digital clothing rooted in the Metaverse assists industry environmental sustainability, the planet, and consumers, providing business strategies for growth through research in theory and an analysis of practices. Virtual checkout uses digital tools to help marketers and designers better understand their target audience. In the foreseeable future, the Metaverse of our works will be a well-known and safe space for budding designers. Designers will find it much simpler to bring their concepts to life thanks to the immediate relationship that Metaverse technology creates with humans.

Eco-friendly methods and technology found in the Metaverse will transform the industry. Expanding acceptance of Metaverse could lead to a 97% decrease in the amount of carbon dioxide in approximately per item 4,000 L of water, reducing its carbon footprint by around thirty percent during the company’s design and development phases.

Digital apparel may be extremely helpful leading up to the real physical manufacturing of a garment, applied to sampling, marketing and modeling prior the actual variants are put into manufacturing, significantly lowering the environmental impact of a clothing item’s entire lifecycle. Computer-generated representations of clothing cannot replace real garments entirely, and they can help reduce waste and help address overproduction-related difficulties.

This chapter clarifies how digital fashion based on the Metaverse assists business environmental sustainability, users, and acts as a resource to improve approaches.

This study aims to explore the role of sustainable fashion knowledge in shaping individual sustainable responsibility within the dynamic landscape of the fashion industry from a novel perspective, by exploring the intricate interplay between sustainable fashion knowledge, emotional and spiritual sustainable capacities.

A quantitative study was used, and a causal model with partial least squares structural equation modeling was developed. A total of 211 valid responses were obtained, and data were analysed to confirm the proposed hypotheses.

The findings confirm the positive impact of sustainable fashion knowledge on individual sustainable responsibility, mediated by both spiritual and emotional sustainable capacities. This study underscores the significance of individuals in influencing societal norms, prompting fashion companies to adopt sustainable practices.

The proposed conceptual framework integrates insights from the emotional and spiritual knowledge dynamics. This study uncovers the pathways through which individuals contribute to a more sustainable society.

The study not only advances the understanding of sustainable fashion practices but also provides actionable insights for policymakers, businesses and individuals seeking to foster a culture of sustainability in the fashion ecosystem.

The presence of green spaces plays a vital role in promoting urban sustainability. Urban green parks (UGPs) help create sustainable cities while providing fundamental ecological functions. However, rapid urbanization has destroyed crucial green areas in Ranchi City, endangering inhabitants’ health. This study aims to locate current UGPs and predict future UGP sites in Ranchi City, Jharkhand.

It uses geographic information system (GIS) and analytical hierarchical process (AHP) to evaluate potential UGP sites. It involves the active participation of urban communities to ensure that the UGPs are designed to meet dweller’s needs. The site suitability assessment is based on several parameters, including the normalized difference vegetation index (NDVI), land use and land cover (LULC), population distribution, PM 2.5 levels and the Urban Heat Island (UHI) effect. The integration of these factors enables an evaluation of potential UGP’s sites.

The findings of this research reveal that 54.39% of the evaluated areas are unsuitable, 15.55% are less suitable, 12.76% are moderately suitable, 11.52% are highly suitable and 5.78% are very highly suitable for UGPs site selection. These results emphasize that the middle and outer regions of Ranchi City are the most favorable locations for establishing UGPs. The NDVI is the most important element in UGP site appropriateness, followed by LULC, population distribution, PM 2.5 levels and the UHI effect.

This study improves the process of integrating AHP and GIS, and UGPs site selection maps help urban planners and decision-makers make better choices for Ranchi City’s sustainability and greenness.

Organizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical investigation aims to introduce and validate a novel conceptual framework that seeks to uncover the latent relationships among the selected constructs of this study. Organizational TMC could enhance green production (GP) and reinforce the green competitive advantage (GCA) among manufacturing firms. Therefore, this research investigates the role of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA.

The Partial Least Squares-Structural Equation Modeling was proposed to test and validate this research’s conceptual model using 463 valid responses from manufacturing under the China–Pakistan Economic Corridor (CPEC) umbrella.

Our statistical findings confirmed that TMCs such as AIC, BDAC and IOTC supported the GP and CGA. ED and RGI positively correlated to GP. The hypotheses testing results also confirmed the mediating role of ED, RGI and GP and the moderating role of green firm innovativeness capability (GFIC) in the underdeveloped context of the manufacturing industry under the CPEC.

Moreover, the statistical findings of this study extend the existing literature by validating the possible direct, indirect/mediation and indirect/moderation relationship between TMC and GCA.

The unethical use of natural resources is contributing to the increasing environmental degradation. The depleting environment poses a threat to the sustainability of present and future generations. This paper aims to investigate the impact of social media on the green purchase intention of consumers. The research adopts the theory of reciprocal determinism to integrate the variables of social media, green product knowledge, green consumption values and drive for environmental responsibility, assessing their collective impact on green purchase intention.

Data were gathered from a sample of 310 young consumers using a structured close-ended questionnaire. The proposed hypothesis was tested by employing PLS-SEM.

The study validates that social media (SM) has the ability to shape consumers' intention to choose more eco-friendly products. In addition to social media, green consumption values and the drive for environmental responsibility exert a significant influence on green purchase intention. However, green product knowledge did not have a significant impact on green purchase intention nor did mediate the relationship between social media and green purchase intention.

The existing scholarly literature indicates that researchers have employed a variety of theories as the basis for their studies aimed at predicting intentions and behaviors related to environmentally conscious purchases. To our knowledge, this is the first study to incorporate social media in the theory of reciprocal determinism. Notably, the paper represents the inaugural investigation in the context of an emerging economy to incorporate green product knowledge as a mediating variable.

Language barriers have always been obstacles to traveling abroad, making travelers less interested. This study aims to investigate how ChatGPT, as a translator, affects travelers’ behavioral intentions based on the perceived language barriers using the ChatGPT voice translation app.

A total of 531 responses were collected over a specific survey period using a cross-sectional time frame. This study proposed a research model based on technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT), and the proposed hypotheses were investigated using bootstrapping techniques and Smart-PLS analysis.

This study’s results are significant as they reveal that ChatGPT enables translated service to travelers and enhances their willingness to travel abroad. This finding indicates a considerable enhancement in the traveler’s confidence in communicating with residents, thereby emphasizing ChatGPT’s pivotal role in overcoming language barriers in the travel industry.

This research is novel in its approach as it delineates the influence of ChatGPT’s translation services on travelers’ willingness and behavioral intentions regarding international travel. By filling a significant gap in the existing literature, this study provides a fresh perspective on the role of technology in overcoming language barriers in the travel industry.

语言障碍一直是出国旅行的障碍, 使旅行者不太感兴趣。本研究调查了作为翻译工具的ChatGPT, 基于ChatGPT语音翻译应用程序感知到的语言障碍, 如何影响旅行者的行为意图。

使用横断面时间框架共收集了531份调查问卷。本研究提出了一个基于TAM和UTAUT的研究模型, 并使用bootstrapping技术和Smart-PLS分析对提出的假设进行了研究。

该研究结果具有重要意义, 因为它们揭示了ChatGPT可以为旅行者提供翻译服务, 并增强了他们出国旅游的意愿。这一发现表明旅行者与当地居民沟通的信心大大增强, 从而强调了ChatGPT在克服旅游行业语言障碍方面的关键作用。

本研究在方法上是新颖的, 讨论了ChatGPT翻译服务对旅行者国际旅行意愿和行为意图的影响。本研究为了解技术在克服旅行语言障碍方面的作用提供了一个新的视角, 填补了相关研究缺口。

Las barreras lingüísticas han sido siempre un obstáculo para viajar al extranjero, lo que ha restado interés a los viajeros. Este estudio investiga cómo ChatGPT, como traductor, afecta a las intenciones de comportamiento de los viajeros en función de las barreras lingüísticas percibidas utilizando la aplicación de traducción de voz ChatGPT.

Se recogieron un total de 531 respuestas a lo largo de un periodo de encuesta específico utilizando un marco temporal transversal. Este estudio propuso un modelo de investigación basado en Modelo de Aceptación de la Tecnología (TAM) y Modelo Unificado de Aceptación y Uso de Tecnología (UTAUT), y las hipótesis propuestas se investigaron mediante técnicas de bootstrapping y análisis Smart-PLS.

Los resultados de este estudio son significativos, ya que revelan que ChatGPT permite ofrecer un servicio traducido a los viajeros y aumenta su disposición a viajar al extranjero. Este hallazgo indica una mejora considerable de la confianza del viajero a la hora de comunicarse con los residentes, lo que subraya el papel fundamental de ChatGPT para superar las barreras lingüísticas en el sector de los viajes

Esta investigación es novedosa en su planteamiento, ya que describe la influencia de los servicios de traducción de ChatGPT en la disposición y las intenciones de comportamiento de los viajeros respecto a los viajes internacionales. Al llenar una laguna importante en la literatura existente, este estudio aporta una nueva perspectiva sobre el papel de la tecnología en la superación de las barreras lingüísticas en el sector de los viajes.

This study aims to deepen our understanding of how chatbots’ empathy influences humans–AI relationship in frontline service encounters. The authors investigate the underlying mechanisms, including perceived anthropomorphism, perceived intelligence and psychological empowerment, while also considering variations between different stages of the customer journey (before and after purchase).

Data collection was conducted through an online survey distributed among 301 customers who had experience using AI-based service chatbot in frontline service encounters in China. The hypotheses were examined through structural equation modeling and multi-group analysis.

The findings of this study revealed the positive impacts of emotional and cognitive empathy on humans–AI relationship through perceived anthropomorphism, perceived intelligence and psychological empowerment. Furthermore, this study verified the moderating effect of the customer journey stages, such that the impacts of anthropomorphism and intelligence on humans–AI relationship displayed more strength during the pre- and post-purchase phases, respectively.

This research offers practical implications for companies: recognize and enhance empathy dimensions in AI-based service chatbot to empower human–AI relationships; boost customer empowerment in human–AI interactions; and tailor anthropomorphic features in the pre-purchase stage and improve problem-solving capability in the post-purchase stage to enrich user experiences.

This study extends relationship marketing theory and human–AI interaction frameworks by investigating the underlying mechanisms of the effect of two-dimensional empathy on human–AI relationship. This study also enriches service design theories by revealing the moderating effect of customer journey stages.