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The aims of the study are to analyze the features of a socially self‐contained society; to analyze the features of an environmentally sustainable society; and to generate a discussion on an indigenous approach towards the sustainable design of communities, particularly through the study of the round village for its unique form and performance in terms of sustainable construction.

Researchers from an international group undertook a field study of a number of specimen round and square shape Hakka villages in December 2004. They discussed their preliminary findings with local academics regarding significant attributes for sustainable design principles, and summarized lessons by means of spatial and construction studies that inform contemporary urban designers' knowledge and practice of sustainability through indigenous architecture.

Through reinterpretation of Feng‐shui theory, various observations made were easily and naturally correlated to basic laws of sustainability. The biggest message that comes from Fujian round architecture is that a genuine practitioner of environmental and social sustainability relies on a simplicity of approach – a respect for nature.

The study is confined primarily to observations by a team of architects and engineers.

Field study of vernacular architecture provides useful information and first‐hand data for researchers on rammed earth structures.

The study of rammed earth structures in remote areas of China, in both coastal and earthquake active zones, offers fresh insight into the integrity and ingenuity of early settlers in sustainable construction. The research provides preliminary findings regarding environmental and construction practice in age‐old Hakka round houses.

This study aims to provide a timely review of hospitality and tourism live streaming (HTLS) research, aiming to understand the intellectual foundation in the past and identify opportunities for future research.

This study collected 56 papers from journals in the Social Science Citation Index database or the Australian Business Deans Council journal quality list and adopted a hybrid systematic literature review combining bibliometric analysis and the theory-context-characteristics-method framework-based approach. Additionally, a cross-tabulation analysis was conducted to compare the research on two specific forms of HTLS – tourism e-commerce live streaming (TEcLS) and travel live streaming.

The study found that the current research lacks in-depth theoretical insights, focuses on China as the national context and viewers as the research subject, mainly uses online surveys and lacks first-order knowledge. Moreover, it identified five research themes, including the impact of HTLS on viewer behavior, purchase behavior in HTLS and introduction of HTLS, within which eight categories of research constructs, such as viewer-related, streamer-related and relationship-related, are applied.

In terms of research, the study reveals various gaps in the existing literature and provides potential research directions to advance the field. As for practice, it offers valuable strategies for practitioners to optimize their marketing efforts using HTLS.

This study provides an up-to-date review of the HTLS field through a systematic and reproducible method. It offers critical discussions and suggestions for academic research and industry practices.

This paper aims to explore the effects of normative and hedonic motivations on continuous knowledge contribution, and how past contribution experience moderates the effects of the motivations on continuous knowledge contribution.

Based on goal-framing theory, the present study proposes a comprehensive theoretical model by integrating normative and hedonic motivations, past contribution experience and continuous knowledge contribution. The data for virtual community members' activities were collected using the Python Scrapy crawler. Logit regression was used to validate the integrative model.

The results show that both normative motivation (reflected by generalized reciprocity and social learning) and hedonic motivation (reflected by peer recognition and online attractiveness) are positively associated with continuous knowledge contribution. Moreover, these effects are found to be significantly influenced by members' past knowledge contribution experience. Specifically, the results suggest that past knowledge contribution experience undermines the influence of generalized reciprocity on continuous knowledge contribution but strengthens the effect of peer recognition and online attractiveness.

Although the emerging literature on continuous knowledge contribution mainly focuses on motivations as antecedents that promote continuous knowledge contribution, most of these studies assume that the relationship between motivating mechanisms and continuous knowledge contribution does not change over time. The study is one of the initial studies to examine whether and how the influence of multiple motivations evolves relative to levels of past contribution experience.

This paper aims to study whether the upstream foundry in the original design manufacturer (ODM) supply chain will violate the commission contract and engage in the production of pirated products. Based on the conclusion, this study hopes to explain the phenomenon of pirated products in reality and provide management enlightenment for related companies.

To understand when will foundry violates the processing contract, this paper constructs a five-stage decision-making model, this study derives a model to get three situations and draw data images to describe the characteristics of decision-making by the foundry. Finally, this paper also considers some external supervision.

The results show that processing fee and other parameters (special cost, common cost, weakening factor and product difference) jointly determine the possibility of piracy by the foundry. Moreover, the external supervision mechanism has a significant effect on the piracy behavior of the foundry.

The research provides some support for real business activities, which actually involve many participants and mechanisms. Thus, it could be interesting to explore more multi-stage and complex business methods in reality.

The analysis highlights less-concerned moral hazard behaviors in the ODM supply chain. By recreating the complex interactions of participants, the conclusion shed light on how should different roles deal with their risks and take actions in a real business environment.

The biggest contribution of this study is to discuss the issue of moral hazard in the ODM supply chain. Piracy initiated by foundries may be a new type of supply chain risk and should be paid attention to.

The current literature lacks discussion on the effects of synergy among multiple factors at different levels on foreign subsidiary performance. The purpose of this paper is to explore the configuration of factors affecting foreign subsidiary performance.

The methodology adopted in this paper is the fuzzy-set qualitative comparative analysis (fsQCA). The data are obtained from 125 foreign subsidiaries of Chinese MNCs through questionnaire surveys and secondary data.

The research results reveal that five configurations of antecedent conditions predict high foreign subsidiary performance, and the other two configurations predict not-high performance.

This paper’s main limitation is its only focus on foreign subsidiaries of Chinese MNCs, which means that the findings should be generalized with precaution. The most valuable implication is to identify the configurations that lead to high and not-high foreign subsidiary performance.

This paper addresses the question of how interdependent factors at the national and corporate level are beneficial to foreign subsidiaries’ performance.

This study makes the following contributions to current theories: It provides (1) new insights for understanding the complex causality between antecedent conditions and foreign subsidiary performance and (2) a practical reference for the multinational operations of foreign subsidiaries.

In smart cities striving for innovation, development, and prosperity, hydrogen offers a promising path for decarbonization. However, its effective integration into the evolving energy landscape requires understanding regional intricacies and identifying areas for improvement. This chapter examines hydrogen transport from production to utilization, evaluating technologies’ pros, cons, and process equations and using Analytic Hierarchy Process (AHP) as a Multi-Criteria Decision-Making (MCDM) tool to assess these technologies based on multiple criteria. It also explores barriers and opportunities in hydrogen transport within the 21st-century energy transition, providing insights for overcoming challenges. Evaluation criteria for hydrogen transport technologies were ranked by relative importance, with energy efficiency topping the list, followed by energy density, infrastructure requirements, cost, range, and flexibility. Safety, technological maturity, scalability, and compatibility with existing infrastructure received lower weights. Hydrogen transport technologies were categorized into three performance levels: low, medium, and high. Hydrogen tube trailers ranked lowest, while chemical hydrides, hydrail, liquid organic hydrogen carriers, hydrogen pipelines, and hydrogen blending exhibited moderate performance. Compressed hydrogen gas, liquid hydrogen, ammonia carriers, and hydrogen fueling stations demonstrated the highest performance. The proposed framework is crucial for next-gen smart cities, cutting emissions, boosting growth, and speeding up development with a strong hydrogen infrastructure. This makes the region a sustainable tech leader, improving air quality and well-being. Aligned with Gulf Region goals, it is key for smart cities. Policymakers, industries, and researchers can use these insights to overcome barriers and seize hydrogen transport tech opportunities.

Ni coating was electroplated on carbon steel substrate to protect carbon steel.

During electroplating, the ultrasonic irradiation (UI) (1 kHz) action was in situ used with different frequency. The influence of UI on the microstructure, mechanical and electrochemical performance of the coating was studied with scanning electron microscopy, X-ray diffraction, microhardness measurement, polarization curves and electrochemical impedance spectroscopy.

The results show that comparing that without UI imposition, UI during electroplating can refine the coating grain and decrease the micro-pores in the coating, resulting in improvement of the coating corrosion and hardness.

The imposition of UI action during electroplating Ni coating can remove intrinsic pores in the coating and compact the coating. The potential bimetallic cell between substrate and plating layer can be insulated to enhance the corrosion resistance of Ni coating. The imposition of UI action during electroplating Ni coating can refine Ni coating grain size and improve the coating haredness.

The purpose of this study is to investigate consumers' emotional responses to artificial intelligence (AI) defeating people. Meanwhile, the authors investigate the negative spillover effect of AI defeating people on consumers' attitudes toward AI companies. The authors also try to alleviate this spillover effect.

Using four studies to test the hypotheses. In Study 1, the authors use the fine-tuned Bidirectional Encoder Representations from the Transformers algorithm to run a sentiment analysis to investigate how AI defeating people influences consumers' emotions. In Studies 2 to 4, the authors test the effect of AI defeating people on consumers' attitudes, the mediating effect of negative emotions and the moderating effect of different intentions.

The authors find that AI defeating people increases consumers' negative emotions. In terms of downstream consequences, AI defeating people induces a spillover effect on consumers' unfavorable attitudes toward AI companies. Emphasizing the intention of helping people can effectively mitigate this negative spillover effect.

The authors' findings remind governments, policymakers and AI companies to pay attention to the negative effect of AI defeating people and take reasonable steps to alleviate this negative effect. The authors help consumers rationally understand this phenomenon and correctly control and reduce unnecessary negative emotions in the AI era.

This paper is the first study to examine the adverse effects of AI defeating humans. The authors contribute to research on the dark side of AI, the outcomes of competition matches and the method to analyze emotions in user-generated content (UGC).

The paper intends to examine mobile taxi (m-taxi) adoption, so as to close the gap in the current literature and clarify the behaviour of users by synthesising technological factors that are related to the characteristics of m-taxi applications with non-technological factors that are associated with the psychological characteristics of customers. The moderating effects of gender were also tested.

A self-administered questionnaire was adopted for data collection with 415 useable responses. The theoretical lens was tested via partial least squares-structural equation modelling. Additionally, state-of-the-art techniques such as permutation and multigroup analysis were applied.

Results indicate that social pressure, technology anxiety, effort expectancy, performance expectancy, and service and system quality are not significantly related to behavioural intention. Also, findings show no significant differences among gender in this study, which suggests that the model is invariant across gender groups.

This study provides a novel insight by taking a broader perspective of ride-hailing terminology by considering both taxis and private vehicles.