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A robotic wheelchair system was designed to assist disabled people with disabilities to walk.

An anticipated sharing control strategy based on topological map is proposed in this paper, which is used to assist robotic wheelchairs to realize interactive navigation. Then, a robotic wheelchair navigation control system based on the brain-computer interface and topological map was designed and implemented.

In the field of robotic wheelchairs, the problems of poor use, narrow application range and low humanization are still not improved.

In the system, the topological map construction is not restricted by the environment structure, which helps to expand the scope of application; the shared control system can predict the users’ intention and replace the users’ decision to realize human-machine interactive navigation, which has higher security, robustness and comfort.

The car body stiffness of express freight sliding side covered wagon decreased for the sliding and the resonance vibration based on the flexible car body has affected the dynamics performances. Dynamic loading will cause fatigue cracks and eventually lead to fatigue failure of the car body. This paper aims to investigate the influence of car body flexibility on the evaluation of the failure.

In this paper, the railway vehicles random analysis procedure (RVRAP) is employed to study the fatigue failure of the rigid-flexibility model. Following the analysis process, the rigid-flexibility model is established and four contrastive schemes for simulation analysis are designed. To verify the results, an experimental test using the real car body structure on the vibration test plant is carried out; the RMS of dynamic stress is obtained and compared with the simulation results.

The results show that the flexibility of the car body has a crucial influence on the fatigue life.

The reliability is verified regarding the use of RVRAP at an appropriate stage on the antifatigue design of the vehicle.

Metamodels are widely used to replace simulation models in engineering design optimization to reduce the computational cost. The purpose of this paper is to develop a novel sequential sampling strategy (weighted accumulative error sampling, WAES) to obtain accurate metamodels and apply it to improve the quality of global optimization.

A sequential single objective formulation is constructed to adaptively select new sample points. In this formulation, the optimization objective is to select a sample point with the maximum weighted accumulative predicted error obtained by analyzing data from previous iterations, and a space-filling criterion is introduced and treated as a constraint to avoid generating clustered sample points. Based on the proposed sequential sampling strategy, a two-step global optimization approach is developed.

The proposed WAES approach and the global optimization approach are tested in several cases. A comparison has been made between the proposed approach and other existing approaches. Results illustrate that WAES approach performs the best in improving metamodel accuracy and the two-step global optimization approach has a great ability to avoid local optimum.

The proposed WAES approach overcomes the shortcomings of some existing approaches. Besides, the two-step global optimization approach can be used for improving the optimization results.

Steam turbine final assembly is a dynamic process, in which various interference events occur frequently. Currently, data transmission relies on oral presentation, while scheduling depends on the manual experience of managers. This mode has low information transmission efficiency and is difficult to timely respond to emergencies. Besides, it is difficult to consider various factors when manually adjusting the plan, which reduces assembly efficiency. The purpose of this paper is to propose a knowledge-based real-time scheduling system under cyber-physical system (CPS) environment which can improve the assembly efficiency of steam turbines.

First, an Internet of Things based CPS framework is proposed to achieve real-time monitoring of turbine assembly and improve the efficiency of information transmission. Second, a knowledge-based real-time scheduling system consisting of three modules is designed to replace manual experience for steam turbine assembly scheduling.

Experiments show that the scheduling results of the knowledge-based scheduling system outperform heuristic algorithms based on priority rules. Compared with manual scheduling, the delay time is reduced by 43.9%.

A knowledge-based real-time scheduling system under CPS environment is proposed to improve the assembly efficiency of steam turbines. This paper provides a reference paradigm for the application of the knowledge-based system and CPS in the assembly control of labor-intensive engineering-to-order products.

Following self-determination theory, the purpose of this paper is to investigate the impact of four motivational profiles (external, introjected, identified regulation, and intrinsic motivation) on work performance (interpersonal, adaptive, task, and dedicative performance). The authors also examined the proposed relations with longitudinal data.

Participants in Studies 1 and 2 were from several companies in China. Employees completed the questionnaires to measure their work motivation, and managers completed the questionnaires to assess the subordinates’ work performance.

In Study 1, the authors found that identified regulation significantly predicted interpersonal performance and adaptive performance. External regulation, introjected regulation, and intrinsic motivation had no significant impacts on interpersonal, adaptive, task, or dedicative performance. In Study 2, the results revealed that identified regulation significantly predicted dedicative and interpersonal performance, but external regulation, introjected regulation, and intrinsic motivation had no significant impacts on the four types of performance. These two studies concluded that only identified regulation strongly predicts work performance.

The study has contributed to the body of knowledge by clarifying that identified regulation is an important type of motivation in the workplace. Managers might therefore focus on supporting employees for identifying with the organizational goals in order to promote better performance.

Media-effect refers to the phenomenon that stocks with no or low media coverage earn higher returns than stocks with high coverage. This paper aims to explore the existence of media-effect in China stock market and tests the two competing hypotheses explaining this phenomenon.

The authors construct a research sample based on a media-coverage event: the publications of lists of the most wealthy Chinese individuals; in addition, they identify the stocks of which listed firms are led by a controller who is recognized on the publicized lists. This paper uses event study methodology to test the existence of media effect in China A-share market. The authors employed propensity score matching (PSM) to construct a control group with same number of non-listed stocks. Then compared the returns of the two portfolios to test the risk premium hypothesis, and the abnormal trading volume and price reaction around the event date is explored to test the over-attention underperformance hypothesis.

Sampled stocks show significantly negative abnormal returns within the event period, but the matched control group formed by PSM shows no significant abnormal return, indicating that the risk premium hypothesis is not supported. Covered stocks show significantly magnified trading volume. The portfolio gains significant positive return before the event date but turns significantly negative afterward, which is consistent with the over-attention underperformance hypothesis.

This paper offers insights into media-effect in China stock market and provides empirical evidence explaining its existence.

The papers in this issue make a significant original contribution which will result in the better understanding of Chinese corporate finance management challenges from both theoretical and practical perspective. The paper aims to discuss these issues.

The papers of this issue have a wide range of coverage related to corporate finance, such as CSR disclosure, organizational structure, earnings management, ownership structure, media impact, corporate accidents, and institution background. Those papers selected are all based on empirical researches with the original designs of their modeling, by the real and fundamental data from the latest Chinese market and enterprises.

The author believes that such in-depth analysis and discussion will enhance the understanding for both researches and practitioners on the behavior of managing corporate finance in China. Those findings will contribute to the establishment of Chinese management theories and to the building of a wide range of Chinese management practices.

Although the angle of each paper varies, they are all trying to have a deep analysis which may unveil the behavior of corporate finance decision. Some of such behaviors will be beneficial to the long-term sustainable growth of the company, while others, though, may have the negative impact on the corporate value creation.

The purpose of this paper is to investigate the role of intrinsic motivation and self-construal in explaining the relationship between work-related identity discrepancy and employee innovation behavior.

Based on a survey of 637 respondents from 15 organizations in southern China, this study examines four hypotheses with regard to the relationship between work-related identity discrepancy and employee innovation behavior through hierarchical regression analysis.

The research results indicate that work-related identity discrepancy is negatively related to employee innovation behavior, but intrinsic motivation mediates their negative relationship, and self-construal moderates this mediating effect further. Specifically, the results demonstrate that perceiving work-related identity discrepancy can lower intrinsic motivation among employees with interdependent self-construal and subsequently reduce their innovation behavior.

Drawn on social cognitive theory, this study reveals the negative effect of work-related identity discrepancy on employee innovation behavior and the moderated mediation effect of intrinsic motivation and self-construal on the negative relationship. The finding expands existing literature on work-related identity discrepancy and employee innovation behavior.

To meet the high stiffness requirement of bearings used in high-precision spindles, this paper aims to propose a novel kind of bearing composited by hydrostatic cavities and tilting pads with preload.

Cavities are cut on the oil seal surface of a hybrid bearing, in which the tilting pads are set up. The load of the bearing is carried by the hydrostatic cavities and tilting pads. The structural features of this compound bearing and the controlling variables of the main stiffness coefficient are presented. Two basic design principles are proposed on the basis of equal machining clearance (EMC) and equal installation clearance (EIC).

The theoretical analysis indicates that the stiffness of compound bearings under the EMC condition increases to infinity monotonously when the preload coefficient of the tilting pad tends to 1, while the stiffness under the EIC condition has a peak value. Therefore, a synthetic design principle is proposed by synthetically using the above-mentioned two principles. The applicable range of the three principles is discussed through an example.

The study about technological combination of hydrostatic cavity and tilting pad in this paper can provide suggestions for the design of a high-stiffness bearing in a precision spindle.

Previous studies have focused on exploring the factors that influence employees' two distinct types of creativity, that is, radical and incremental creativity, while very little attention has been paid to the outcomes of creativity and how the two types of creativity interact within individuals.

The present study addresses this issue by adopting both variable-centered (correlation) and person-centered (latent profile analysis) approaches for three samples of supervisor–employee dyads data from China (n = 159, 213 and 273).

Using variable-centered analysis in sample 1, general creativity was positively associated with the four work performance dimensions, while there was no significant correlation between creativity and well-being. Using person-centered analysis, five very similar creativity profiles were found across samples 2 and 3 based on employees' radical and incremental creativity. These five classes differed in work performance dimensions and well-being, with classes characterized by a high level of incremental creativity profiles reporting a higher level of well-being and classes characterized by a high level of both incremental and radical creativity profiles reporting a higher level of the four work performance dimensions.

Managers are suggested to focus on factors that could promote employees' incremental creativity if they want to have happier and highly performing employees, and they could also focus on factors that could aid employees who may experience costs when engaging in radical creative activities.

The results of the present study contribute to uncover the potential outcomes related to employees' creativity by identifying distinct profiles of creativity types.