The impact of future time orientation on employees' feedback-seeking behavior from supervisors and co-workers: The mediating role of psychological ownership. AbstractFuture time orientation is essential if an employee is to be motivated to conduct activities that generate long-term rather than immediate gain, and which may involve risk. Given that feedback seeking requires the employee to slow down and seek input, it is surprising that little is known about the relationship between future time orientation and feedback seeking. Drawing upon psychological ownership theory and construal-level theory, we hypothesized a positive influence of future time orientation on feedback seeking from various sources (i.e., supervisors and co-workers). We also hypothesized job-based psychological ownership as a newly identified motive of feedback seeking and employed it to explain how future time orientation exerts influences. Tested with data from a sample of 228 subordinate-supervisor dyads from China, the results revealed that (1) future time orientation was positively related to feedback seeking from supervisors and co-workers and (2) job-based psychology ownership mediated the relationship between future time orientation and feedback seeking.
This paper provides theoretical bases and a framework to describe the incremental process of macro-level innovation policy-making for emerging industry in China and the role of government-business (G-B) interactions in generating policy-making evidence. By analyzing the decision-making processes of three macro-level innovation policies for the Internet of Things as a mode of industry development, the paper finds that the macro-level innovation policy-making resulted from a gradual sub-issue solving in each of several sub-processes. The specific micro-level policy tools are formed and implemented through G-B interactions to generate evidence, and these processes are gradual and incremental, helping policy-makers to overcome the high levels of uncertainties in emerging industry development. Five interactive approaches in this research are identified: inspections, investigations, soft lobbying, conferences, and cooperation. The patterns of interactions vary with the nature of the innovation policies. Our findings contribute to the evidence-based policy-making perspective, by clarifying the innovation policy-making sub-process and the evidence-generating mechanism of G-B interactions in dealing with emerging industry development uncertainties. ARTICLE HISTORY
Idiopathic scoliosis (IS) is a complex three-dimensional (3D) deformity. The non-operative treatments for IS have been developed for a long time. According to current studies, hard braces are more effective than soft braces for the treatment of scoliosis. Though current braces are proved to be effective for the treatment of IS, there are several shortcomings needed to be overcome: (i) Braces cannot realize precise control over a specific vertebra. (ii) Braces affect cardiopulmonary efficiency (braces limit maximal exercise performance). (iii) The brace is not modulated based on user’s needs. (iv) Braces, including motions during eating, tying shoes, sitting, and standing. (v) Braces apply forces on skin, which causes pain, skin breakdown, and abnormal deformation of bone. In order to solve these boring problems of the current braces, this paper proposed a new intelligent robotic spine brace based on the principle of human biomechanics, three point pressure treatment theory and parallel mechanism theory. This novel brace can offer 3D active dynamic adjustable corrective forces for the treatment of IS and some experiments are employed for verifying the effect of the proposed brace.
According to the parallel mechanism theory, this paper proposes a novel intelligent robotic spine brace for the treatment of scoliosis. Nevertheless, this type of parallel mechanism has the following disadvantages: strong dynamic coupling in task space or joint space, adverse effect of system’s gravity, and lower response frequency in roll and pitch orientations, which seriously affect the performance of the system. In order to solve those boring problems, this paper presents a novel active force control structure, modal space dynamic feed-forward (MSDF) force control strategy. Besides, this paper expresses the intelligent robotic brace system model including the dynamic and kinematic models and the electric actuator model with Kane strategy. The stability of the intelligent system with the novel control strategy is proved. In order to evaluate the performance of the presented MSDF force control method, this paper builds the parallel mechanism experimental platform. It can be seen from experimental results that the proposed motion control method solves these boring problems well.
The advantages of exoskeletons based on the Bowden cable include being lightweight and flexible, thus being convenient in assisting humans. However, the performance of an exoskeleton is limited by the structure and human–exoskeleton interaction, which is analyzed from the established mathematical model of the human–exoskeleton system. In order to improve the auxiliary accuracy, corresponding control methods are proposed. The disturbance observer is designed to compensate for disturbances and parameter perturbations in the inner loop. The human–exoskeleton interaction feedforward model is integrated into the admittance control, which overcomes the limitation of the force loading caused by the friction of the Bowden cable and the change in stiffness of the human–exoskeleton interaction. Furthermore, an angle prediction method using the encoder as the signal source is designed to reduce the disturbance of the force loading caused by human motion. Finally, the effectiveness of the design method proposed in this paper is verified through experiments.
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