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This paper aims to explore the possible forms and characteristics of an artificial intelligence (AI) leader and discuss the potential applications of AI in political leadership and governance.

A categorization system consisting of three categories – the level of responsibility, the voting system and the bindingness of the AI’s decisions – was developed to better understand the various types of AI leaders. Additionally, to identify the main characteristics of an AI leader, a comprehensive literature review was conducted. The themes from the literature were then categorized and supplemented with additional discussions.

This paper identifies several potential AI leaders, including the AI President, the AI Dictator, the AI Minister and the AI Consultant. The key characteristics of an AI leader were also discussed. The primary strengths of AI lie in their intelligence and rationality, which could potentially lead our societies toward a peaceful and prosperous future. However, a significant drawback of AI is that it will always be limited by the capabilities and intentions of its programmer, whether human or AI.

Understanding the forms and characteristics of AI leaders may help policymakers and decision-makers explore the possibilities of integrating AI into political leadership and governance.

This paper contributes to the emerging field of AI in governance by exploring the forms and characteristics of AI leaders and discussing their potential applications in political leadership.

This study aims to explore the influence of green participative leadership on hotel employees’ pro-environmental behavior. Additionally, we seek to analyze the mediating role of green self-efficacy in this relationship while examining how environmental awareness moderates the connection between green participative leadership and green self-efficacy.

In this study, we distributed questionnaires to 546 employees working in the Chinese hotel industry. We used partial least squares structural equation modeling (PLS-SEM) to analyze the data and test the hypothesized relationships in our model.

The present study shows that green participative leadership positively influences employees’ pro-environmental behavior, with this relationship being partially mediated by green self-efficacy. Furthermore, environmental awareness significantly moderates the connection between green participative leadership and green self-efficacy.

The findings of this study offer valuable insights for hotel industry managers and policymakers in developing effective strategies for fostering a sustainable work environment. By embracing green participative leadership, hotels can inspire and engage employees to adopt environmentally friendly practices, ultimately contributing to the hotel’s overall sustainability.

This research expands the existing literature by proposing an integrative model that connects green participative leadership, green self-efficacy, environmental awareness and pro-environmental behavior. As a pioneering study within the Chinese hotel industry, it offers unique contextual insights that can help advance environmental sustainability in this sector.

On the basis of demand survey feedback from individuals with disabilities and caregivers, this study designed two sets of functional garments for long-term bedridden patients, with the primary objective of increasing convenience and reducing the physical workload of caregivers.

Wear trials were conducted by employing 24 subjects to perform 11 different tasks to compare the performance of the two newly developed garments with that of conventional hospital patient apparel. Task operation time, heart rate (HR), electromyography (EMG) signals, and subjective perceptions were evaluated.

The new functional garments reduced the time required to perform tasks by 29–79%, maintained the average HR of caregivers at approximately the resting threshold and resulted in a 37–74% reduction in the root mean square (RMS) of the EMG at the arm muscles in the private and thigh nursing tasks. All the subjective and objective evaluation results of the caregivers demonstrated varying degrees of correlation.

This study has practical implications for the design of functional clothing for long-term bedridden patients and provides guidance for evaluating the ergonomics of garments that can be utilized only with caregiver support.

In contrast to previous studies that focused primarily on individuals with disabilities while overlooking the indispensable role of caregivers in the nursing process, this study shifted its emphasis to long-term bedridden patients who relied exclusively on caregivers for daily activities. Additionally, this study attempted to analyze the correlations between the evaluation parameters to explore the relationships between the evaluation methods.

This study aims to explore the roles of Zhongyong and political efficacy on citizens’ intention to use digital government platforms for e-participation (i.e. e-participation intention). Zhongyong is a dialectical way of thinking that influences Chinese behavioral intentions and approaches. Political efficacy is a predictor of traditional political participation. Both of them have not been adequately investigated in this digital era, particularly regarding e-participation in digital government platforms. Therefore, this study investigates their relationships.

A quantitative model is constructed to examine the relationship between Zhongyong and citizens’ e-participation intention (internal and external) political efficacy serves as a mediator. An online questionnaire gathered 345 responses from three representative provinces of China (i.e. Guangdong, Jiangxi and Shanxi). Partial least square structural equation modeling (PLS-SEM) was adopted and executed with Smart PLS 4.0 to analyze the data.

Zhongyong and (internal and external) political efficacy can positively influence citizens’ e-participation intention. Moreover, (internal and external) political efficacy mediates the relationship between Zhongyong and citizens’ e-participation intention.

This research focuses on Chinese culture Zhongyong and surveyed Chinese citizens, thus is limited to the Chinese context. Second, this study used cross-sectional data. Third, this study only investigated two factors’ effects on e-participation, i.e. Zhongyong and political efficacy.

The findings provide multifaceted strategies for improving citizens’ adoption of digital government platforms for e-participation. Incentive policies to boost citizens’ (internal and external) political efficacy can be launched. To achieve broader citizen participation, a participative culture can be cultivated based on Zhongyong.

This study constructs a novel model that innovatively links Zhongyong thinking, political efficacy and e-participation intention. The results underscore the importance of Zhongyong culture and political efficacy in increasing citizens’ e-participation intention.

The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).

Leveraging a novel methodological approach, the study curates a corpus of 364 documents from Scopus spanning 2022 to 2024. Using the term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects the thematic essence of the ethical discourse in generative AI across diverse domains, including education, healthcare, businesses and scientific research.

The results reveal a diverse range of ethical concerns across various sectors impacted by generative AI. In academia, the primary focus is on issues of authenticity and intellectual property, highlighting the challenges of AI-generated content in maintaining academic integrity. In the healthcare sector, the emphasis shifts to the ethical implications of AI in medical decision-making and patient privacy, reflecting concerns about the reliability and security of AI-generated medical advice. The study also uncovers significant ethical discussions in educational and financial settings, demonstrating the broad impact of generative AI on societal and professional practices.

This study provides a foundation for crafting targeted ethical guidelines and regulations for generative AI, informed by a systematic analysis using STM. It highlights the need for dynamic governance and continual monitoring of AI’s evolving ethical landscape, offering a model for future research and policymaking in diverse fields.

The study introduces a unique methodological combination of TF-IDF and STM to analyze a large academic corpus, offering new insights into the ethical implications of generative AI across multiple domains.

Sustainability is considered a core trend in the development of the fashion industry. Clarifying the driving factors of consumers’ sharing willingness regarding sustainable image from the perspective of psychology can help fashion brands implement sustainable management and deepen industrial sustainable development.

Based on commitment theory, this paper proposes a conceptual model that includes three antecedents: perception of greenwashing, environmental, social and governance (ESG) and social media content quality. These affect consumers’ sharing willingness regarding sustainable image through affective commitment, continuance commitment and normative commitment. Furthermore, 310 participants reported their tendencies in a formal empirical study.

The results show that unlike green perception, which has a significant negative effect, consumers have a significant positive commitment to high perceived levels of ESG and social media content quality. Besides, all three dimensions under the commitment theory play a partial mediating role between consumer perception and sharing willingness.

This study not only extends the research on the commitment theory to the field of fashion marketing and management but also enriches the research context of brand image sharing willingness, which explains the differential effects of different consumer commitments on their information sharing willingness. Moreover, several management implications applicable to the fashion industry have also been proposed based on the conclusion.

Considering that when endorsing the same product, virtual influencers with different identity types (self-created, collaborative) can have different impacts on consumers' purchasing behaviors, this paper aims to explore how to maximize the impact effects of the VIs' respective identities. It provides companies with new perspectives on endorsement strategies.

The interaction between VI identity type and post type (informational, storytelling) on purchase intention was analyzed in four experiments (N = 1,007), considering informational and normative social influence as intermediate mechanisms and consumer self-construal as moderators.

The findings show that self-created VI is suited to informational posts and collaborative VI to storytelling posts. This identity-content match effectively triggers the social influence mechanism: informational posts of self-created VI significantly enhance informational social influence. In contrast, storytelling posts of collaborative VI primarily stimulate normative social influence. Consumer self-construal also moderates the process of influencing mechanisms.

Based on social influence theory and matching theory, this paper confirms the existence of an interaction between VI identity types, which influences consumers' purchase intention through informational and normative social influence. This finding fills the research gap in the field of VI endorsement strategy. It also emphasizes the importance of consumer self-construal and contributes new insights into the related field.

This study aims to explore why Chinese consumers pay for digital content products by investigating the experiences of Chinese consumers living in first-tier and second-tier cities regarding paid digital knowledge products.

A total of 19 in-depth interviews were conducted to collect data, and the phenomenological reduction was adopted to analyze data.

This study reveals that Chinese consumers use paid digital knowledge products to alleviate stress and anxiety stemming from real-life competition and the fear of falling behind. While consumers acknowledge the limited assistance that paid knowledge products can offer, their acceptance and expectations of paid digital knowledge products remain positive.

Paid digital knowledge represents an innovative phenomenon, with few scholars outside China having studied it. This study contributes a conceptual framework to understand the motivations of Chinese consumers with high purchasing power residing in first-tier and second-tier cities to invest in digital content.

This paper aims to examine the dynamics between Hong Kong’s domestic sporting needs and its regional aspirations as a “hub” for sport and culture, which have created challenges and contradictions for the optimal provision of relevant infrastructure. These have become particularly evident during the COVID-19 pandemic, when local restrictions have undermined Hong Kong’s appeal as an event destination and hindered access and utilization of venues. In recent years, policies in this area have mainly focused on the development of a new sports park on the former airport runway in Kai Tak, which has acquired additional significance in the city’s quest for post-pandemic economic recovery. Simultaneously, any noncommercial land use in Hong Kong, one of the most densely populated cities in the world, faces intense scrutiny over a perceived scarcity of space.

By drawing upon concepts from urban studies and policy studies, the paper explores a presumed preference for commodified sporting landscapes and provides an interdisciplinary approach to enhance the author’s understanding of sport policy and infrastructure. This is achieved through direct comparisons of two case studies, and by building on and expanding a multidimensional evaluative framework of sustainability that can avoid economic reductionism.

This paper finds that Hong Kong’s sport policy framework exhibits unbalanced consideration when it comes to the planning and development of relevant infrastructure.

By acknowledging the interrelatedness and similarity between sports and culture, the paper may further test the adaptability of cultural policy concepts for the analysis of Hong Kong’s sports policy. As such, it aims to bring the usually separated study of cultural and sport policy within a comparable framework.

This paper aims to investigate the impact of perceived variety on consumers’ online shopping cart abandonment (OSCA). It also discerns how e-tail format (single- vs multi-brand), the cognitive processing styles of consumers (System 1 vs System 2) and device type (mobile vs laptop) influence shopping cart abandonment asymmetrically.

Three studies were conducted. Data were analysed using Hayes’ Process macro.

Perceived variety increases the likelihood of OSCA via the mediation of cognitive load. The consumer is likely to experience a greater (lesser) cognitive load for a multi-brand (single-brand) e-tailer. System 1–oriented thinkers tend to experience lesser cognitive load, thus diminishing the effect of cognitive load on OSCA compared to individuals who rely on System 2 processing. Furthermore, the impact of perceived variety on cognitive load decreases significantly when a laptop is used rather than a mobile phone.

This paper establishes linkages between OSCA and choice overload literature to demonstrate how an excess of choice may be detrimental to e-retailers’ prospects and the asymmetries of single-brand vs multi-brand e-tail formats for this effect.