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This paper aims to examine whether labour unions influence labour conflicts and this mechanism is different in China compared with other countries.

This paper uses the data from the China Employer–Employee Survey that interviewed 1,208 firms and 10,087 workers in 2016 as the measurement of variables, and it uses Logit regression model to do the empirical research.

Unions cannot significantly influence labour conflicts. More active unions and unions whose leaders are appointed by the firms’ management are associated with a higher incidence of labour conflicts.

This paper finds a new mechanism that explains the relationship between unions and labour conflicts. The existing literature states that unions may increase labour conflicts via “monopoly power” and may also mitigate labour conflicts via “voice mechanisms”. This paper’s findings show that the positive correlation between unions and labour conflicts may be explained by the lack of “voice mechanism” rather than “monopoly power”. The findings imply that labour unions should represent the interest of workers to mitigate the increasing labour conflicts.

This paper aims to present a picture of the past and the present status of the Distance Education College (DEC) of East China Normal University (ECNU). It describes what the DEC has achieved in each phase, and probes into some essential problems that the DEC has attempted to solve.

This article provides a comprehensive description of the development of the DEC by following a case study method.

The DEC goes through three stages. In the first phase, a teacher‐focused policy and disciplined management are formed. In the second phase, a quality‐first policy is emphasized, and two training modes are developed: the human‐centered management mode and the trainee‐oriented training mode. In the third phase, the DEC initiates further innovation and uses a new platform.

ECNU has witnessed and participated in the development of modern distance education in China. It remains successful in developing distance education. The effort made by the DEC well showcases the overall development and growth of modern distance education in China.

This article presents the development of the DEC and will help readers understand the developmental process of distance education colleges in China.

The purpose of this paper is to explore how to design a web‐based course in the context of China for self‐directed learning from four perspectives – i.e. pedagogical, psychological, social and technological – and also to summarize the design principles for the web‐based course.

The paper reviews literature related to: self‐directed learning, with a view to bringing out its capabilities and capacities for use in a web‐based environment; theories and pedagogies of learning with a view to imbuing them for the design of web‐based courses; and challenges of the design of web‐based courses with a view to gauging its acceptability.

The development of a successful web‐based course needs to focus on multiple perspectives — pedagogical, psychological, social and technological – in order to contextualize it for learner‐centeredness. The results show that the course designed based on these dimensions was flexible, useful and welcomed.

This paper describes a conceptual framework for designing a web‐based course from four perspectives and also presents a series of design principles for a web‐based course.

This paper aims to propose a hybrid force/position control algorithm based on the stiffness estimation of the unknown environment. A frequency-division control scheme is developed to improve the applicability and reliability of the robot in welding, polishing and assembly.

The stiffness estimation algorithm with time-varying forgetting factors is used to improve the speed and accuracy of the unknown environmental estimation. The sensor force control and robot position control are adopted in different frequencies to improve system stability and communication compatibility. In the low frequency of sensor force control, the Kalman state observer is used to estimate the robot’s joints information, whereas the polynomial interpolation is used to ensure the smoothness of the high frequency of robot position control.

Accurate force control, as well as the system stability, is attained by using this control algorithm.

The entire algorithm is applied to a six-degrees-of-freedom industrial robot, and experiments are performed to confirm its applicability.

The frequency-division control strategy guarantees the control stability and improves the smoothness of the robot movement.

The purpose of this paper is to propose a new joint friction model, which can accurately model the real friction, especially in cases with sudden changes in the motion direction. The identification and sensor-less control algorithm are investigated to verify the validity of this model.

The proposed friction model is nonlinear and it considers the angular displacement and angular velocity of the joint as a secondary compensation for identification. In the present study, the authors design a pipeline – including a manually designed excitation trajectory, a weighted least squares algorithm for identifying the dynamic parameters and a hand guiding controller for the arm’s direct teaching.

Compared with the conventional joint friction model, the proposed method can effectively predict friction factors during the dynamic motion of the arm. Then friction parameters are quantitatively obtained and compared with the proposed friction model and the conventional friction model indirectly. It is found that the average root mean square error of predicted six joints in the proposed method decreases by more than 54%. The arm’s force control with the full torque using the estimated dynamic parameters is qualitatively studied. It is concluded that a light-weight industrial robot can be dragged smoothly by the hand guiding.

In the present study, a systematic pipeline is proposed for identifying and controlling an industrial arm. The whole procedure has been verified in a commercial six DOF industrial arm. Based on the conducted experiment, it is found that the proposed approach is more accurate in comparison with conventional methods. A hand-guiding demo also illustrates that the proposed approach can provide the industrial arm with the full torque compensation. This essential functionality is widely required in many industrial arms such as kinaesthetic teaching.

First, a new friction model is proposed. Based on this model, identifying the dynamic parameter is carried out to obtain a set of model parameters of an industrial arm. Finally, a smooth hand guiding control is demonstrated based on the proposed dynamic model.

This paper examines students' decisions when playing an in-class version of the TV game, Deal or No Deal (DOND), to study the relation between personal characteristics and individual decision-making under risk.

This study analyzes DOND game play data collected from 374 students in 13 university finance classes, and their personal characteristics collected in a post-game survey. It uses ordered probit, OLS and probit regression analysis to examine the impact of personal characteristics on an individual's risk tolerance.

The key finding is that international students are significantly more risk averse than US domestic students. Additionally, given the natural control for age and education, the study finds that gender, race and religion have a limited impact on an individual's risk tolerance. Finally, the study provides evidence that the structure of the DOND game, in general, rewards risk-taking as long as it is not excessive. Once participant behavior becomes risk-seeking, the correlation between risk-taking and game payoff becomes negative.

The homogeneous set of contestants (business students) analyzed in this study presents some limitations yet provides opportunities to examine risk tolerance differences between the US and international students, and whether gender, race or religious affiliation has an impact on the level of risk tolerance given a natural control for age and education level.

The evidence suggests that culture and environmental unfamiliarity may impact an individual's risk tolerance. This finding is useful when providing financial advice to diverse clients or when conducting international business. Additionally, understanding that education and financial literacy reduces differences in risk tolerance across gender, race and religion can impact the way we interact with others. A broader practical implication for all investors is that, while under normal circumstances, risk-taking is rewarded with a higher expected return, excessive risk-taking may harm their investment performance.

This paper utilizes a unique data set, collected through a class activity and post-class survey. While there have been empirical studies using DOND data, this is the first study that examines the impact of personal characteristics on game participants' behavior, thereby generating unique findings not reported in previous studies employing DOND data.