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The purpose of this paper is to examine the impact of inter-group conflicts on the trust toward the acquirer and then further on cooperation intention after acquisitions in cross-border mergers and acquisitions (M&As), in the lens of the social classification theory. Two types of conflicts (realistic conflicts and symbolic conflicts) and a mediating mechanism (trust toward the acquirer) exhibit different effects on cooperation intention. The research further examines two moderating coping strategies (localizing management and assigning trustworthy expatriate managers) and tests their effectiveness in promoting trust toward the acquirer and increasing cooperation intention in cross-border M&As.

The research hypotheses were empirically tested in the context of post-acquisition of Chinese companies' cross-border M&As. In total, 600 questionnaires were provided to the research participants of 37 acquired firms/units from advanced economies of 12 Chinese companies, and 209 valid questionnaires were collected (the response rate is 34.83%). Confirmatory factor analysis was conducted to verify data validity and hierarchical multiple regression analyses were employed to test relational and moderating effects.

This research demonstrates that both realistic and symbolic conflicts can reduce the intention to cooperate, but the latter does not have a significant influence. The results also uncover that whether employees from acquired firms trust in their acquirers mediates the relationship between realistic conflicts and cooperation intention. Moreover, management localization (a measurement of whether local/original managers are retained with a high degree of freedom and autonomy after M&As) and trustworthiness of expatriate managers (a measurement of whether the assigned expatriate managers is trustworthy) positively moderate the relation between realistic conflicts and trust toward the acquirer. In addition, trust toward the acquirer mediates the interaction of realistic conflicts and management localization on the cooperation intention of the acquirers' employees.

This study examines how inter-organizational conflicts influence trust toward the acquirer and then cooperation intentions in the context of Chinese companies' M&A behavior of targets from developed countries and gain supportive evidence, which enriches the literature on the management of international M&As. By introducing two management localization and trustworthiness of expatriate managers into the model, the research deepens our knowledge of how to build trust toward the acquirer in cross-border M&As.

This study aims to examine the relationship between renqing and purchase intentions and the mechanism of its impact in the Chinese business-to-business (B2B) context.

Renqing in China has played an important role in business relationships and has been receiving increased attention in both practice and theory. However, little is known about whether it can influence purchase intentions in a rational B2B condition. This research aims to examine the relationship between renqing and purchase intentions and the mechanism of its impact in the Chinese B2B context. Based on a survey of 1,010 industry buyers from 468 Chinese downstream buyer companies, the empirical findings indicate a positive relationship between renqing and purchase intentions and the mediating role of long-term orientation (LTO) for increasing purchase intentions. In addition, this study also finds that product involvement (PI) has a negative moderating effect on the relationship between renqing and purchase intentions, which means that renqing has a big positive effect on purchase intentions in low PI conditions. The results highlight several implications for B2B companies that sell products to Chinese enterprises.

The empirical findings indicate a positive relationship between renqing and purchase intentions and the mediating role of LTO for increasing purchase intentions. In addition, this study also finds that PI has a negative moderating effect on the relationship between renqing and purchase intentions, which means that renqing has a big positive effect on purchase intentions in low PI conditions.

First of all, by answering the research question, this study shows that renqing has a positive effect on purchase intentions in Chinese B2B context. Second, this study elucidates the influence mechanism of renqing on purchase intention and identifies the mediating effect of LTO and the moderating effect of PI.

Based on the knowledge-based view, this paper aims to uncover the formation mechanism of marketing dynamic capabilities (MDCs) in international firms and to examine the moderating effects of learning culture, organizational structure and institutional distance on knowledge and knowledge integration.

This study used a survey of 223 Chinese international firms and applied partial least squares path modeling to test the conceptual model.

The results indicated that both market knowledge dimensions (i.e. knowledge breadth and knowledge depth) and knowledge integration constitute important sources of MDCs. Specifically, knowledge breadth has direct and indirect effect on MDCs, while knowledge depth has indirect effect on MDCs; knowledge integration mediates the effects of knowledge dimensions on MDCs. Formalization and institutional distance significantly moderate the relationship between the breadth of knowledge and knowledge integration, whereas the learning culture shows little moderating effect on the above paths.

The authors identify an association between the knowledge-based view and the dynamic capability view, suggesting that a firm’s essential capability of knowledge integration constitutes a genesis of MDCs. In addition, while knowledge breadth strengthens MDCs, knowledge depth carries no direct effect, indicating that the attributes of knowledge have asymmetric influences on MDCs. The indirect effects of knowledge on MDCs through knowledge integration vary under different organizational conditions and institutional distances.

The purpose of this paper is to accurately capture the risks which are caused by each road user in time.

The authors proposed a novel risk assessment approach based on the multi-sensor fusion algorithm in the real traffic environment. Firstly, they proposed a novel detection-level fusion approach for multi-object perception in dense traffic environment based on evidence theory. This approach integrated four states of track life into a generic fusion framework to improve the performance of multi-object perception. The information of object type, position and velocity was accurately obtained. Then, they conducted several experiments in real dense traffic environment on highways and urban roads, which enabled them to propose a novel road traffic risk modeling approach based on the dynamic analysis of vehicles in a variety of driving scenarios. By analyzing the generation process of traffic risks between vehicles and the road environment, the equivalent forces of vehicle–vehicle and vehicle–road were presented and theoretically calculated. The prediction steering angle and trajectory were considered in the determination of traffic risk influence area.

The results of multi-object perception in the experiments showed that the proposed fusion approach achieved low false and missing tracking, and the road traffic risk was described as a field of equivalent force. The results extend the understanding of the traffic risk, which supported that the traffic risk from the front and back of the vehicle can be perceived in advance.

This approach integrated four states of track life into a generic fusion framework to improve the performance of multi-object perception. The information of object type, position and velocity was used to reduce erroneous data association between tracks and detections. Then, the authors conducted several experiments in real dense traffic environment on highways and urban roads, which enabled them to propose a novel road traffic risk modeling approach based on the dynamic analysis of vehicles in a variety of driving scenarios. By analyzing the generation process of traffic risks between vehicles and the road environment, the equivalent forces of vehicle–vehicle and vehicle–road were presented and theoretically calculated.

High precision assembly processes using industrial robots require the process parameters to be tuned to achieve desired performance such as cycle time and first time through rate. Some researchers proposed methods such as design-of-experiments (DOE) to obtain optimal parameters. However, these methods only discuss how to find the optimal parameters if the part and/or workpiece location errors are in a certain range. In real assembly processes, the part and/or workpiece location errors could be different from batch to batch. Therefore, the existing methods have some limitations. This paper aims to improve the process parameter optimization method for complex robotic assembly process.

In this paper, the parameter optimization process based on DOE with different part and/or workpiece location errors is investigated. An online parameter optimization method is also proposed.

Experimental results demonstrate that the optimal parameters for different initial conditions are different and larger initial part and/or workpiece location errors will cause longer cycle time. Therefore, to improve the assembly process performance, the initial part and/or workpiece location errors should be compensated first, and the optimal parameters in production should be changed once the initial tool position is compensated. Experimental results show that the proposed method is very promising in reducing the cycle time in assembly processes.

The proposed method is practical without any limitation.

The proposed technique is implemented and tested using a real industrial application, a valve body assembly process. Hence, the developed method can be directly implemented in production.

This paper provides a technique to improve the assembly efficiency by compensating the initial part location errors. An online parameter optimization method is also proposed to automatically perform the parameter optimization process without human intervention. Compared with the results using other methods, the proposed technology can greatly reduce the assembly cycle time.

Vegetable e-commerce is of great significance for improving the efficiency of vegetable circulation, and for solving the problems of high circulation cost and poor connection between production and marketing. The purpose of this study is to explore the key factors that influence consumers’ vegetable e-commerce adoption willingness, behavior, and willingness-behavior consistency.

A total of 427 valid questionnaires were collected from 16 districts of Beijing in 2019 via the internet, yielding a response rate of 94.9%. Bivariate probit and binary logistic regression were used for analysis.

The results show that 62.84% of vegetable e-commerce consumers have the same willingness and behavior, and 37.16% of consumers have a deviation of willingness and behavior; the key factors influencing the willingness, behavior, and willingness-behavior consistency of vegetable e-commerce consumers are different. The three variables of usefulness perception, logistics service quality perception, and nearest vegetable market distance have significant effects on and are positively correlated with the adoption willingness, behavior, and willingness-behavior consistency of vegetable e-commerce consumers.

Consumers in Beijing, a first-tier city, were taken as the research object in this study. Second-tier and even third-tier cities can be investigated as comparative studies in a follow-up study. In addition, the key factors that affect the differences in the willingness and behavior of vegetable e-commerce adoption can be studied.

The results obtained in the present study and their implications could aid in vegetable e-commerce optimization, and contribute to the understanding of how to improve consumers’ awareness and participation in vegetable e-commerce. The suggestions of this study could also be used for the improvement of vegetable e-commerce in other cities facing similar issues.

This paper aims to investigate the evolution law of surface characteristic of corroded cold-formed thin-walled steel in industrial environments.

Five test specimens sourced from cold-formed thin-walled C-shaped steel that have been in service for three years in actual industrial environments were subjected to surface characteristic test. The surface characteristic of corroded hot-rolled steel and cold-formed steel were compared and analyzed. The relationship between the surface morphology parameters and the average corrosion depth was established.

The evolution law of the surface morphology of corroded cold-formed thin-walled steel and corroded hot-rolled steel was similar. The frequency histogram of corrosion depth was mainly single peak with high values on the middle and low values on both sides. The corrosion depth conformed to the normal distribution. The roughness average height and the root mean square of surface height gradually increased linearly with increasing the average corrosion depth.

The reduction in the standard deviation of corrosion depth, the maximum corrosion depth, the roughness average height and the root mean square of surface height of the cold-formed thin-walled steel was smaller than those of the hot-rolled steel.

This paper aims to explore the effect of automatic transmission fluid (ATF) temperature on the dynamic friction-wear properties of the friction component in a wet multi-disc clutch during the running-in process.

The running-in evolution was explored in terms of global friction performance and instantaneous friction characteristics. The variation of friction torque of the initial 300 engagement cycles was obtained by wet-clutch tests. Finally, an optical microscope was used to detect the wear mechanism of friction surfaces.

The ATF temperature showed a significant effect on the friction-wear performance in the clutch running-in process. The mean coefficient of friction decreased with the increase of the ATF temperature and decreased rapidly in the approximately initial 60 clutch engagements. The higher the ATF temperature was, the thinner the ATF film was, and more asperity summits were cut, thus leading to a smoother surface. Considering the slightly instantaneous friction fluctuation and the wear performance, a proper ATF temperature is necessary.

The results provide theoretical guidance for selecting the optimal ATF temperature during the running-in process.

The selection of marketing channels by vegetable producers directly affects the income of producers and is important for the maintenance of a stable supply of vegetables and food control. The purpose of this paper is threefold: to investigate the cooperative selection of vegetable marketing channels; to identify the factors that influence the selection of marketing channels by professional vegetable cooperatives by comparing emerging and traditional circulation modes; and to solve the problems related to vegetable circulation channels in Beijing.

A total of 187 valid questionnaires were collected from seven main vegetable production districts in Beijing urban areas from September to December 2017, with a response rate of 89 percent. Binary logistic regression was used for analysis in this study.

Results revealed that the cooperatives mainly selected large wholesalers, wholesale markets, supermarkets and electronic commerce as their marketing channels for their vegetables. Estimation results showed that among the 18 influencing factors in the four categories, the educational level of the person in charge and some other factors significantly influence the selection of these four distribution channels by the cooperatives.

Due to the lack of time and energy, this paper does not analyze the factors influencing a cooperative’s choice of different e-commerce platforms. If this problem can be solved, it will definitely promote the development of e-commerce in rural areas.

The results obtained in the present study and their implications could help policy makers establish a science-based and reasonable policy to encourage vegetable producers to participate in the new circulation modes of vegetables in Beijing and ensure their income in the vegetable supply chain. This study suggests methods to improve the vegetable sector in other cities facing similar issues.

This paper aims to evaluate the influence of molybdenum disulfide (MoS₂) concentrations (5, 7.5, 10, 12.5 and 15 Wt.%) on the microstructure and tribological property of the self-lubrication cubic boron nitride (CBN) abrasive composites.

Three point bending method and rotating sliding test are used to evaluate the flexural strength and tribological property of self-lubricating CBN abrasive composites. Microstructure, wear morphology of the ball and scratch are supported by scanning electron microscopy, optical microscope and three-dimensional confocal microscopy, etc.

The MoS₂ concentration has a significant influence on the interface microstructure between CBN abrasives and matrix alloys, and thus, affects the flexural strength of CBN abrasive composites. The grain fracture modes of CBN abrasive composites are transformed from the transgranular fracture into intergranular fracture as the MoS₂ concentrations increase. Additionally, the friction coefficient of as-sintered samples decreases with the MoS₂ concentrations. The MoS₂ concentrations of 10 Wt.% are final determined to fabricate self-lubricating composites in basis of the mechanical and lubricating property.

The ball is fabricated under vacuum sintering process. The tribological property of self-lubricating CBN abrasive composites is evaluated in terms of the friction coefficient and morphologies of the ball and scratches after rotating sliding tests.