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This study aims to investigate the effects of single dent on the film thickness and pressure in elastohydrodynamically lubricated (EHL) point contacts by numerical analysis.

The governing equations of single dent were established and then the variations of the film thickness and pressure induced by the applied load, the entrainment velocity and the ball radius were investigated. Meanwhile, the film thickness and pressure under smooth and dented surfaces were compared with each other.

The dent enhances both the maximum pressure and the second pressure peak. The minimum film thickness arises before the dent under certain conditions. In the meantime, the pressure decreases at the inside of the dent and the film thickness is just the reverse. The entrainment velocity remarkably affects the overall film thickness, whereas the rest of the input parameters mainly decides the details of the film curve. All input parameters remarkably affect the overall pressure, especially the maximum pressure.

This work is helpful to understanding the effect of the single dent on the lubricating properties of EHL point contacts.

The purpose of this paper is to develop a bi-objective optimization framework to select prefabricated construction service composition. An improved algorithm-genetic simulated annealing algorithm (GSA) is employed to demonstrate the application of the framework.

The weighted aggregate multi-dimensional collaborative relationship is used to quantitatively evaluate the synergistic effect. The quality of service is measured using the same method. The research proposed a service combination selection framework of prefabricated construction that comprehensively considers the quality of service and synergistic effect. The framework is demonstrated by using a GSA that can accept poor solutions with a certain probability. Furthermore, GSA is compared with the genetic algorithm (GA), simulated annealing algorithm (SA) and particle swarm optimization algorithm (PSO) to validate the performance.

The results indicated that GSA has the largest optimal fitness value and synergistic effect compared with other algorithms, and the convergence time and convergence iteration of the improved algorithm are generally at a low level.

The contribution of this study is that the proposed framework enables project managers to clarify the interactions of the prefabricated construction process and provides guidance for project collaborative management. In addition, GSA helps to improve the probability of successful collaboration between potential partners, therefore enhancing client satisfaction.

The purpose of this paper is to develop a model considering synergy effect for prefabricated construction service combination selection.

This research defines prefabricated construction service as a service-led construction method that meets the specific requirements of clients. Based on network theory, the multi-dimensional collaborative relationships of the prefabricated construction inter-services are formulated. The synergy effect is quantitatively calculated through the linear weighting of the strengths of collaborative relationships. Further, a weighted synergy network (WSN) is developed, from which a service composition selection model considering the synergy effect is established. Then, a genetic algorithm is employed to implement the model.

The results showed that (1) when the number of prefabricated construction services is increased, the synergy effect of combination options is enhanced; (2) The finer-grained prefabricated construction services, the stronger the synergy effect of service combination; (3) Clients have heterogeneous preferences for collaborative relationships, and there are differences in the synergy effect of service combination.

The contribution of this research includes proposed a method to quantify the synergy effect from the perspective of collaborative relationships, explored the specific procedure for the prefabricated construction service combination selection under the service-led construction, and provided a reference for promoting the development in construction. Besides, the model proposed could be applied to prefabricated construction service composition selection with diverse research boundaries or client preferences by executing the same procedure.

The purpose of this paper is to provide an effective way to assess landslide risk quantitatively. Quantitative assessment plays an important role in mitigating the landslide risk and developing a landslide risk-based warning system. However, efficient risk assessment on the large deformation failure process of slope with spatially variable soils is a challenging problem.

Combining the Monte Carlo simulation (MCS) and the higher-order material point method – the B-spline Material Point Method (BSMPM) – the concept of MC-BSMPM to assess the landslide risk quantitatively is proposed in this paper. The overall dynamic evolution of soil slope failure has been simulated by the BSMPM, and the probability density function of the sliding duration, the sliding kinematic energy, the sliding mass and the sliding distance of the landslide are obtained based on the MCS. Through the four risk assessment parameters of the sliding duration, the sliding kinematic energy, the sliding mass and the sliding distance, the landslide risk could be assessed quantitatively.

It is found that the post-failure behavior of the landslide conforms well to a normal distribution as the soil physical parameter is in a normal distribution. The variation of soil’s shear strength affects the dynamic motion of the landslide greatly.

The result shows that the landslide hazard cannot be estimated comprehensively by the deterministic BSMPM, while the landslide risk could be more clearly understood and quantitatively assessed with more details by the proposed method, which demonstrates that the MC-BSMPM method is an effective way to assess the landslide risk quantitatively.

This study aims to investigate how a firm’s sustainable competitive advantage is influenced by the combination of entrepreneurial ecological orientation, digital transformation and dynamic capabilities.

Based on the qualitative comparative analysis method, this study systematically explores the significant key conditions and configuration effects that affect the growth of sustainable competitive advantage. This study uncovers the causal relationship and complex mechanisms underlying the sustainable and unsustainable competitive advantages for new ventures, by examining the grouping effects of the above three factors – entrepreneurial ecological orientation, digital transformation and dynamic capabilities on those advantages.

A single factor fails to constitute a necessary condition for sustainable competitive advantage. Three types of configurations are beneficial to sustainable competitive advantage, namely, flexible and responsive type, dynamically adjusted type and type of opportunity resource integration, whereas four types of configurations lead to the unsustainable competitive advantage of new ventures, namely, type of organizational rigidity, informal entrepreneurial type, information-blocking type and technology-deficient type.

According to this study, adopting an entrepreneurial ecological orientation is a novel strategic move. This study offers an extensive review of three aspects of entrepreneurial ecological orientation, dynamic capacities and digital transformation and their mutually synergistic cascading effects on the sustainable competitive advantage of new ventures. This study investigates how three dimensions interact to achieve sustainable competitive advantage for firms, ultimately contributing to the study of sustainable competitive advantage strategies from an entrepreneurial ecosystem perspective.

This paper seeks to address emerging practices of social enterprises (SEs) in China by exploring the institutional context, organisational features and legislative framework of this new phenomenon.

The analysis is based on data drawn from secondary sources (laws and regulations, forum transcripts and news reports) and primary evidence (in‐depth study of six SE cases).

The various kinds of SEs are highly diversified in terms of social mission, organisational nature, legal form, and operational pattern; the institutional context is underdeveloped, providing growing but still limited financial, intellectual, technical, and human resources; although it allows increasing space for diversified development dynamics of SEs, the legislative system regulating SEs is still flawed in several vital ways.

This paper relies heavily on qualitative research methods to make a preliminary assessment of the development of China's SEs. Neither primary nor secondary data sources collected for this paper can be used to draw any general conclusion of statistical significance.

The paper sheds light on the overall landscape of the recent development of SEs in China, providing a descriptive and normative foundation for cross‐country comparative studies and quantitative, explanatory analysis.

The purpose of this paper is to analyse the impact of high-speed railway (HSR) on industrial pollution emissions using the data for 285 prefecture-level cities in China from 2004 to 2016.

The research method used in this paper is the multi-period difference-in-differences (DID) model, which is an effective policy effect assessment method. To further address the issue of endogeneity, the DID integrated with the propensity score matching (PSM-DID) approach is employed to eliminate the potential self-selection bias.

The results show that the HSR has significantly reduced industrial pollution emissions, which is validated by several robustness tests. Compared with peripheral cities, HSR exerts a greater impact on industrial pollution emissions in central cities. In addition, the mechanism test reveals that the optimised allocation of inter-city industries is an important channel for HSR to mitigate industrial pollution emissions, and this is closely related to the location of HSR stations.

Previous studies have paid more attention to evaluating the economic effects of HSR, however, most of these studies overlook its environmental effects. Consequently, the impact of HSR on industrial pollution emissions is led by using multi-period DID models in this paper, in which the environmental effects are measured. The results of this paper can provide a reference for the pollution reduction policies and also the coordinated development of economic growth and environmental quality.

This study aims to investigate the impact of service employees’ agreeableness personality and daily self-esteem on their daily interpersonal behaviors in terms of interpersonal harmony and counterproductive work behavior toward other individuals (CWB-I). Furthermore, this study examines whether the impact of daily self-esteem on daily interpersonal behaviors is moderated by the quality of service employees’ relationship with their manager and leader–member exchange (LMX).

Using a sample of 111 restaurant employees in China who took daily surveys with 1,412 ratings for 10 consecutive days, a longitudinal analysis was conducted to test the research hypotheses using hierarchical linear modeling.

The results show that agreeableness personality predicted daily interpersonal harmony but had no significant effect on daily CWB-I. It was also found that daily self-esteem predicted both daily interpersonal harmony and daily CWB-I, and LMX moderated the effect of daily self-esteem on daily interpersonal behaviors.

Given the fluctuation of employees’ interpersonal behaviors, organizations should guide the variability of interpersonal behaviors in the positive direction. To promote daily interpersonal harmony and reduce daily CWB-I, managers could focus on recruiting employees with agreeableness, offering daily self-esteem training and enhancing the quality of LMX.

This research is unique in its objectives to examine what influences service employees’ interpersonal behaviors on a daily basis and its methods to implement a longitudinal approach unlike previous studies that often relied on cross-sectional designs to enhance the ecological validity of the findings.

Climate change negatively affects agricultural crop production in the dry zone region of Myanmar. This paper aims to examine climate change adaptation strategies of farmers in the dry zone region. Farmers’ choice for adaptation strategies is influenced by many factors such as the practical availability and by socioeconomic conditions of the farmers. They are moreover influenced by the perception about climate change and by the specific problems prevailing in the farming systems.

This research is carried out in Magwe district in the dry zone region of Myanmar using a random selection of 212 farmers from three Townships (Magwe, Yenanchaung and Chauk). A multinomial logistic regression (MLR) was applied to assess the factors affecting the choice by farmers for adaptation strategies.

The study found that in the past, farmers used to apply locally available indigenous climate change adaptation strategies. However, recently, most farmers seem to have shifted to introduced adaptation strategies. The most popular adaptation strategy is to adjust the planting dates and sowing method (56.1 per cent). Furthermore, farmers identified a number of barriers that limit the adoption of adaptation methods. Risk is found to be an important driver of crop diversification. Finally, the MLR model showed that information from radio, access to seeds and extension services affect the choice of adaptation strategies.

The study shows that adoption of locally available indigenous climate change adaptation methods is gradually decreasing, and there is a shift to introduced adaptation strategies. The study can assist public and private organizations to obtain insight in the determinants of climate change adaptation in the dry zone region of Myanmar.

The purpose of this paper is to review research on weather index insurance (WII) for mitigating the weather risk in agriculture and to identify research gaps in current available literature through integrative review.

This paper is based on the integrative review method as proposed by Whittemore and Knafl. QualSysts tool was adopted for assessing the quality appraisal of articles. Reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Detailed critical analysis of content reveals that WII studies are growing and shifting from traditional to the newest themes. Efficacy of WII is significantly influenced by the impacts of climate change. This paper generates a conceptual framework by synthesizing the published literature on WII.

This paper will be used to improve the WII practices and influence public policy. It is also beneficial in research by contributing to the systematic body of knowledge and useful for researchers to analyze the past and present status with future prospects of further studies on WII.

The paper is the original work of the author. To the best of authors’ knowledge, this is the first paper on integrative review on the efficacy of WII. An attempt has been made in the current paper to critically examine the studies of WII.