创业退出过程中的制度不确定性、创业者认知与创业团队组态——一个纵向单案例追踪研究

复杂多变的制度环境下,创业退出现象时有发生。然而,现有文献对制度不确定情境下的创业退出过程及创业团队演变的关注仍然有限。本文通过追踪案例企业进入至退出创业的过程,剖析了创业退出过程中,创业团队面对制度变化的适应性变革及创业者认知的作用。研究发现:第一,整个创业过程中,创业者感知到制度不确定性由高向低转换,伴随着制度变化,创业者认知呈现出“前摄逻辑—复合逻辑—止损逻辑”的动态演化;第二,受创业者认知变化的推动,创业团队涌现出三种不同构型的组态,呈现出“协同探索型—冲突变革型—动力弱化型”的动态演化。研究探讨了创业退出过程中创业团队的适应性变革过程,构建了相关的因果关系机制,从动态过程视角补充了创业团队及创业退出研究,为探讨制度不确定情境下不同行为主体基于不同层次要素的互动提供了初步的理论参考。

制度不确定与民营企业家政治参与

转型期的中国正经历着制度的重大变迁,渐进的改革方式为我国带来了长期稳定的发展,但一定程度上也造成了制度的不确定,正在快速发展的中国民营企业也受到了这种不确定所带来的冲击。民营企业家的政治参与可以被视为是在这种环境中规避风险、 寻找机遇的一种努力,它在发挥积极作用的同时,也存在着一些问题。本文认为民营企业家参政是我国特定历史转型过程中的特殊现象,具有历史必然性,但是需要配备完善的制度,使其发挥更加积极的作用,遏制可能带来的消极影响。

转型背景下制度不确定性与人的发展

当今中国,人的发展问题离不开经济转型和改革的时代背景。经济转型过程中,人的发展目标的实现需要通过深化改革来提供制度保障。因此,人的发展经济学不能不关注经济转型的制度不确定性问题。经济转型和制度不确定性的评价标准是制度适应性效率,其与人的发展评价标准是一致的。因此,既要用其来指导经济转型,又要用制度不确定性思维来指导人的发展。而在经济转型过程中,只有实现民权回归,才能为人的发展提供基本前提和基础。

迈克尔逊风场探测干涉仪探测温度不确定度分析(英文)

根据迈克尔逊风场探测干涉仪探测原理,所探测的温度不确定度是由装置调制度不确定度和发射线的表观调制度不确定度所决定的.通过它们之间的定量关系,求出了对应于一定温度不确定度的调制度不确定度的允许范围,并进行了模拟计算.最后针对影响因素提出了提高温度不确定度的方法,明显提高了温度测试准确度.

Uncertainty Evaluation of Preparation of Organophosphorus Pesticide Mixed Standard Solution

The uncertainty of standard solution plays an important role in detection of pesticide residues. It may affect the accuracy of detection results. In this study, the 14 organophosphorus pesticides mixed standard solution was used as the material to analyze all the influencing factors for the preparation of mixed standard solution with uncertainty as the only judging index. The preparation uncertainty of mixed standard solution was calculated with the top-down calculation method. In the end, the expanded uncertainty was presented. The results showed that the preparation of mixed standard solution from stock solution with precise pipettes had a relatively low uncertainty.

Adaptive neural network based sliding mode altitude control for a quadrotor UAV

Reasons and realities such as being non-linear of dynamical equations,being lightweight and unstable nature of quadrotor,along with internal and external disturbances and parametric uncertainties,have caused that the controller design for these quadrotors is considered the challenging issue of the day.In this work,an adaptive sliding mode controller based on neural network is proposed to control the altitude of a quadrotor.The error and error derivative of the altitude of a quadrotor are the inputs of neural network and altitude sliding surface variable is its output.Neural network estimates the sliding surface variable adaptively according to the conditions of quadrotor and sets the altitude of a quadrotor equal to the desired value.The proposed controller stability has been proven by Lyapunov theory and it is shown that all system states reach to sliding surface and are remaining in it.The superiority of the proposed control method has been proven by comparison and simulation results.

A Sliding Mode Control for Uncertain Time-delay Systems

By means of the feasibility of some linear matrix inequalities(LMIs),delay dependent sufficient condition is derived for the existence of a linear sliding surface,which guarantees quadratic stability of the reduced-order equivalent system restricted to the sliding surface.And a reaching motion controller is proposed.A numerical simulation shows the effectiveness of the approach.

Algebraic solution of differential geometric guidance command and time delay control

According to the three-dimensional geometry of the engagement,the explicit algebraic expression of differential geometric guidance command(DGGC)is proposed.Compared with the existing solutions,the algebraic solution is much simpler and better for the further research of the characteristics of DGGC.Time delay control(TDC)is a useful method to tackle the uncertainty problem of a control system.Based on TDC,taking the target maneuvering acceleration as a disturbance,the estimation algorithm of the target maneuvering acceleration is presented,which can be introduced in DGGC to improve its performance.Then,the augmented DGGC(ADGGC)is obtained.The numerical simulation of intercepting a high maneuvering target is conducted to demonstrate the effectiveness of ADGGC.