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The dent is one of typical surface defects on the surfaces of the machine elements and it is not in fact inerratic. This work aims to investigate the effect of a single dent with a marginal bump on the film shape in elastohydrodynamic lubrication (EHL) point contacts.

The experimental investigations of a single dent with marginal bump were carried out using multi-beam interferometry in EHL point contacts. In the meantime, its numerical simulation was also finished using multi-level method and multilevel multi-integration method. The effects of the entrainment velocity and the applied load as well as the slide-roll ratio on the film were chiefly discussed. Meanwhile, the comparison of films between smooth and dented surfaces was conducted under simple sliding conditions.

Under pure sliding conditions, the minimum film thickness presents itself near the marginal bump at lower entrainment velocity. The inlet dimple before the marginal bump is subjected to the operating conditions. Under pure rolling conditions, the shape of the dent is almost unchanged when it is passing through the contact region at lower entrainment velocity. The dent depth hardly depends on the applied load under static conditions. However, larger load enhances the inlet dimple and the elastic deformation of the dent with the marginal bump under pure sliding conditions.

This work is helpful to understanding the effect of the marginal bump before the single dent on point contact EHL films.

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.

Abnormal behaviors such as rework, backlog, changes and claims generated by project organizations are unavoidable in complex projects. When abnormal behaviors emerge, the previously normal state of interactions between organizations will be altered to some extent. However, previous studies have ignored the associations and interactions between organizations in the context of abnormal organizational behaviors (AOBs), making this challenging to cope with AOBs. As a result, the objective of this paper is to explore how to reduce AOBs in complex projects at the organizational level from a network perspective.

To overcome the inherent limitations of a single case study, this research integrated two data collection methods: questionnaire survey and expert scoring method. The questionnaire survey captured the universal data on the influence possibility of AOBs between complex project organizations and the expert scoring method got the influence probability scores of AOBs between organizations in the case. Using these data, four organizational influence network models of AOBs based on a case were developed to demonstrate how to destroy AOBs networks in complex projects using network attack theory (NAT).

First, the findings show that controlling AOBs generated by key organizations preferentially and improving the ability of key organizations can weaken AOBs network, enabling more effective coping strategies. Second, the owners, government, material suppliers and designers are identified as key organizations across all four influence networks of AOBs. Third, change and claim behaviors are more manageable from the organizational level.

Project managers can target specific organizations for intervention, weaken the AOBs network by applying NAT and achieve better project outcomes through coping strategies. Additionally, by taking a network perspective, this research provides a novel approach to comprehending the associations and interactions between organizations in the context of complex projects.

This paper proposes a new approach to investigating AOBs in complex projects by simultaneously examining rework, backlog, change and claim. Leveraging NAT as a novel tool for managing the harmful effects of influence networks, this study extends the knowledge body in the field of organizational behavior (OB) management and complex project management.

The operational framework of external financing in the correlation between the gender of entrepreneurs and firm performance remains to be resolved. This study aims to investigate the mediating effect of external financing on gender-based disparities in private firm performance and to explore its heterogeneity within the Chinese context.

Based on national data from the 10th to 13th Chinese Private Enterprise Survey, this study used a bootstrap-based mediation effect model to analyze the role of external financing as a mediator in the relationship between entrepreneur gender and firm performance.

This study found that external financing is a constructive mediator between entrepreneur gender and firm performance. Heterogeneity analysis revealed that external financing plays a complementary mediation role in the impact of entrepreneur gender on performance in West China. In the tertiary industry, external financing acts as the sole mediator for the impact of gender on firm performance. Notably, this mediating effect is present in non-startups but not in startups.

The findings suggest that external financing can improve the firm performance of female entrepreneurs. Governments and policymakers should strengthen financial support for female entrepreneurs in West China, tertiary industry and non-startup enterprises.

This paper contributes to the literature on gender and corporate governance by shedding light on the mediating role of external financing in the relationship between the gender of business owners and firm performance.

This study aims to establish a comprehensive model integrating variables from the updated unified theory of acceptance and use of technology (UTAUT), expectation-confirmation model (ECM) and trust to determine what factors influence consumers’ decision to continue using food delivery apps (FDA) after the COVID-19 outbreak in Taiwan.

Data was collected from 350 respondents living in Taiwan via Line using a Google Forms link. A total of 333 valid responses were analyzed after 17 invalid questionnaires were eliminated. To test the suggested study paradigm, partial least squares-structural equation modeling was used as the data analysis approach.

The results indicate FDA users’ continuance intention (CI) is directly significantly affected by performance expectancy, satisfaction and habit. All the constructs of the updated UTAUT theory, confirmation and trust significantly influence the satisfaction of FDA, and users’ satisfaction significantly positively impacts users’ CI.

Although consumers’ intentions toward FDA have previously been the topic of research, there is a paucity of literature that discusses the connections between the variables that influence FDA users’ CI after the COVID-19 pandemic in Taiwan. By focusing on the relationships between the multiple antecedents of FDA users’ CI, this study contributes to reducing the existing literature gap. Explanation surrounding the elements influencing FDA users’ CI is provided by examining several aspects of FDA usage, including technological and psychological postadoption issues.

本研究试图建立一个综合模型, 整合了来自统一接受和使用科技理论（UTAUT）、期望-确认模型（ECM）和信任等变量, 以确定影响消费者在COVID-19疫情爆发后继续使用食品外卖应用(FDA)的因素。

本研究针对台湾的居民通过Line平台使用Google Forms链接收集了350份问卷数据, 经过筛选后得到333份有效回复。为了验证所提出的研究范式, 本研究采用了PLS-SEM作为数据分析方法。

结果表明, FDA用户的继续使用意图受到性能预期、满意度和习惯的直接显著影响。UTAUT理论、期望确认和信任显著影响FDA用户的满意度, 而用户的满意度对用户的继续使用意图产生积极影响。

尽管消费者对FDA的意向不是新的研究的主题, 但在讨论COVID-19疫情后影响FDA用户继续使用意图的变量之间的关系方面, 文献中存在不足。通过探索FDA用户继续使用意图的多个前因关系, 本研究有助于弥补现有文献的空白。通过考察FDA使用的技术和心理因素等多个方面, 本研究提供了解释影响FDA用户继续使用意图的论述。

Based on self-consistency theory and conservation of resource theory, this study aims to discuss the impact of career calling congruence on employees’ innovation performance (IP) and analyzes the mediating effect of work passion [harmonious passion (HP) and obsessive passion (OP)].

To avoid serious common method biases, data in this paper were collected at three-wave. This paper investigated 381 employees to assess their career calling in time 1, measured their work passion in time 2 and assessed the IP of these employees in time 3. This paper also conducts confirmatory factor analysis, polynomial regression, response surface analysis, bootstrapping test and simple slope test to verify the research hypothesis in this paper.

In the career calling congruence case, employees’ HP, OP and IP are higher when both levels of serving oneself career calling and helping others career calling are high than when both are low; In the career calling incongruence case, employees’ HP, OP and IP are higher in the “low serving oneself and high helping others” case than in the “high serving oneself and low helping others” case; The more congruent the “serving oneself” and “helping others” career calling are, the higher the employees’ HP, OP and IP will be; and HP and OP mediate the relationship between career calling congruence and IP.

This study further clarifies the structure of career calling and find the positive effects of career calling on IP. The results present a deeper understanding of career calling and are universal applicable to the eastern culture context.

The aim of this study is to examine the motive of China's and India's engagement in African countries particularly in Ethiopia and to address the land grabbing and debt-trap diplomacy between Ethiopia and the Asian drivers, which creates challenges across the diverse social, political, economic and ecological contexts.

This study utilises both primary and secondary data. The available literature is also reviewed. The primary data were gathered through semi-structured interviews and discussions from (1) several authority offices in Ethiopia, sources close to authorities, information-rich informants, employees and (2) perspectives, perceptions and prospects from individual members of society.

The study unmasks the win-win cooperation strategy from the perspective of the members of society in Ethiopia, evaluates whether China and India have strings attached or land grabbing motives. The study also shows that whether China's and India's move was deliberate, the implications of debt-trap diplomacy and exploitation in Ethiopia are apparent. Additionally, this study investigated several considerable potential threats to Ethiopia that will persist unless significant measures are taken to control the relations with Asian drivers.

Some of the limitations of this paper pertain to the primary data collection process from the Ethiopian Investment Commission (EIC) and other authorities, which was very challenging because people can be punished for talking to journalists or researchers. Furthermore, some investors were not willing to participate in discussions because they were engaged in areas that are not related to their licenses. Many interviewees were also not willing to disclose their names, and the data are not exhaustive in the number of investment projects covered.

This study provides new evidence on the influence of Chinese and Indian investment, aid and trade on Ethiopia's social, political and economic spheres. Additionally, this study contributes to the ongoing debate on land grabbing and debt-trap diplomacy in Ethiopia.

In large-scale group decision-making (LSGDM) situations, existing TODIM group decision-making methods often fail to account for the influence of social network relationships and the bounded rationality of decision-makers (DMs). To address this issue, a new TODIM-based group decision-making method is proposed that considers the current trust relationships among DMs in a large-scale trust relationship network.

This method consists of two main stages. In the first stage, the large-scale group is partitioned into several sub-clusters based on trust relationships among DMs. The dominance degree matrix of each sub-cluster is then aggregated into the large-scale group dominance degree. In the second stage, after aggregating the large-scale group dominance degree, the consensus index is calculated to identify any inconsistent sub-clusters. Feedback adjustments are made based on trust relationships until a consensus is reached. The TODIM method is then applied to calculate the corresponding ranking results. Finally, an illustrative example is applied to show the feasibility of the proposed model.

The proposed method is practical and effective which is verified by the real case study. By taking into account the trust relationships among DMs in the core process of LSGDM, it indeed has an impact on the decision outcomes. We also specifically address this issue in Chapter Five. The proposed method fully incorporates the bounded rationality of DMs, namely their tendency to accept the opinions of trusted experts, which aligns more with their psychology. The two-stage consensus model proposed in this paper effectively addresses the limitations of traditional assessment-based methods.

This study establishes a two-stage consensus model based on trust relationships among DMs, which can assist DMs in better understanding trust issues in complex decision-making, enhancing the accuracy and efficiency of decisions, and providing more scientific decision support for organizations such as businesses and governments.

The purpose of this paper is to propose a grey clustering evaluation model based on analytic hierarchy process (AHP) and interval grey number (IGN) to solve the clustering evaluation problem with IGNs.

First, the centre-point triangular whitenisation weight function with real numbers is built, and then by using interval mean function, the whitenisation weight function is extended to IGNs. The weights of evaluation indexes are determined by AHP. Finally, this model is used to evaluate the flight safety of a Chinese airline. The results indicate that the model is effective and reasonable.

When IGN meets certain conditions, the centre-point triangular whitenisation weight function based on IGN is not multiple-cross and it is normative. It provides a certain standard and basis for obtaining the effective evaluation indexes and determining the scientific evaluation of the grey class.

The traditional grey clustering model is extended to the field of IGN. It can make full use of all the information of the IGN, so the result of the evaluation is more objective and reasonable, which provides supports for solving practical problems.

When recommending products to consumers, it is important to be able to accurately predict how consumers will rate them. However, existing collaborative filtering models are difficult to achieve a balance between rating prediction accuracy and complexity. Therefore, the purpose of this paper is to propose an accurate and effective model to predict users’ ratings of products for the accurate recommendation of products to users.

First, we introduce an attention mechanism that dynamically assigns weights to user preferences, highlighting key interaction information and enhancing the model’s understanding of user behavior. Second, a fold embedding strategy is employed to segment user interaction data, increasing the information density of each subset while reducing the complexity of the attention mechanism. Finally, a masking strategy is integrated to mitigate overfitting by concealing portions of user-item interactions, thereby improving the model’s generalization ability.

The experimental results demonstrate that the proposed model significantly minimizes prediction error across five real-world datasets. On average, the evaluation metrics root mean square error (RMSE) and mean absolute error (MAE) are reduced by 9.11 and 13.3%, respectively. Additionally, the Friedman test results confirm that these improvements are statistically significant. Consequently, the proposed model more accurately captures the intrinsic correlation between users and products, leading to a substantial reduction in prediction error.

We propose a novel collaborative filtering model to learn the user-item interaction matrix effectively. Additionally, we introduce a fold embedding strategy to reduce the computational resource consumption of the attention mechanism. Finally, we implement a masking strategy to encourage the model to focus on key features and patterns, thereby mitigating overfitting.