中美知识型员工激励因素差异及其经济文化背景分析

知识型员工的激励问题是当今世界各国企业人力资源管理中普遍面临的新课题。随着中美两国企业之间交流合作的日益深入,研究两国知识型员工的激励因素差异及其背后的经济文化原因这一课题,已变得越来越迫切。对比分析中美知识型员工激励因素本身和其干扰因子的差异以及其背后的经济文化的差异,中美知识型员工激励因素差异的基础是收入水平差异,同时也是两国文化差异的体现,相比美国而言,中国知识型员工的激励因素更具有复杂性和权变性。     

中国4A级旅游景区(点)与旅游线路的对应关系分析--以华东地区为例

以华东地区为例，对4A级景区(点)和旅游线路中的对应关系进行了研究，揭示了部分4A级景区(点)在旅游线路中出线频率较低的现象和深层次原因，指出了现有旅游线路产品过于单调而又缺乏新意，其产品设计以及市场开发尚有巨大的发展潜力。4A级旅游景区(点)可以更多地利用旅游线路而增加销售渠道；旅游线路产品的设计应该更趋多样化，充分发挥4A级景区(点)对旅游线路的支撑作用，全面提高4A级景区(点)利用率，以满足不同层次消费者的需求。     

基于PSO算法的股权拍卖机制设计及仿真分析

运用PSO群体智能算法模拟信息交互条件下外部投资者报价决策的学习机制和演化规律,在此基础上设计了实现风险投资退出的股权拍卖机制。Netlog仿真结果表明,所设计的股权拍卖机制能在一定程度上揭示股权的真实价值,并降低竞买人和卖方之间的信息不对称程度。进一步的仿真分析结果表明:适当的激励力度对外部投资者的投标报价具有显著影响;引入更多的竞买人能产生更有利于风险投资家的拍卖结果;即使外部投资者过于强化单一的学习能力,最终也可得到相对理想的拍卖结果,从而证明了所设计的股权拍卖机制具有广泛的适用性。     

基于SBO-PP模型的水资源可持续发展能力评价模型及应用

为利用投影寻踪(PP)技术科学,客观评价区域水资源可持续发展能力,基于生态环境、水资源和经济社会因素选取20个指标构建区域水资源可持续发展能力评价指标体系。利用新型仿生群体智能算法——凉亭鸟优化(SBO)算法优化PP技术最佳投影方向,提出SBO-PP水资源可持续发展能力评价模型,并构建灰狼优化(GWO)算法-PP模型、人工蜂群(ABC)算法-PP模型、差分进化(DE)算法-PP模型、地理生物学优化(BBO)算法-PP模型、粒子群优化(PSO)算法-PP模型作对比,以云南省2006—2015年及2020年水资源可持续发展能力评价为例进行实例研究。结果表明:SBO算法优化PP技术获得的适应度值优于GWO、ABC、DE、BBO和PSO算法,具有较好的求解精度、稳健性能和极值寻优能力。SBO-PP模型对云南省2006—2007年水资源可持续发展能力评价为"较差",2008—2015年评价为"中等",2020年评价为"较强"。     

对LZ77图象压缩算法进行改进的C语言实现

本提出了一种用于无损灰度图象数据压缩新的编码方法-一种基于对LZ77压缩方法的改进以及对图象元素预测误差的估计为基础的字典压缩方法,并给出了该方法的C语言程序实现。     

Competitive selection, self-organisation and Joseph A. Schumpeter

Post-Schumpeterians have tended to use biological analogies to understand economic evolution, in contrast to Schumpeter himself. In this paper it is argued that the biological analogies used tend to be outdated and that Schumpeter espoused an intuitive understanding of the evolutionary economic process that is closely related to modern conceptions of self-organisation, suitably adapted for application in socioeconomic systems. Using a self-organisation approach, competition can be understood without recourse to biological analogy, in terms of general systemic principles that operate in the presence of variety. Viewing economic evolution in terms of complex adaptation in self-organising systems yields nonequilibrium and nonlinear perspectives that parallel Schumpeter's own intuitions, reinvigorating them as the basis of evolutionary economic thinking in the new Millennium.     

基于迭代列消元法的线性分组码参数盲识别

针对线性分组码参数盲识别容错性能差的问题,提出基于迭代列消元法的线性分组码参数盲识别方法。首先对截获矩阵应用迭代列消元法,将其相关列对应各个窗内的转移矩阵中的列向量作为候选校验向量,再根据截获矩阵对偶码空间归一化维数来识别码字长度和同步时刻,最后将对偶码字进行初等行变换识别校验矩阵。仿真结果证明,与以往盲识别方法相比,所提方法容错性能好,适用于各种码率的线性分组码的码字长度、同步时刻和生成多项式识别。     

海洋环境监测高频地波雷达的研究现状与发展趋势

高频地波雷达作为一种海洋遥感的重要手段，已有30多年的历史，它可用于海洋表面风、浪、流等状态参数的提取，还可用于目标探测，在专属经济区的监测中，高频地波雷达具有无可比拟的优势。本文介绍了高频地波雷达的发展历史和研究现状及其应用领域，详细叙述了武汉大学研制的高频地波雷达OSMAR2000的体系结构、性能指标和信号处理方法，最后对该研究领域的发展趋势作了简要分析。     

基于改进遗传量子算法的FIR数字滤波器设计

网上证券交易在各国已经得到广泛应用。由网上证券交易引起的变革对传统的交易方式、交易制度产生不可估量的影响力,直接冲击着证券市场、投资者和券商。本文试图从证券市场和券商的角度来分析网上证券交易给它们带来的影响,从而从更深层次上理解网上证券交易的意义,更好地使用它。     

When the target may know better: Effects of experience and information asymmetries on value from mergers and acquisitions

Research summary : Extending research on the effect of experience on acquisition outcomes, we examine how the differential in previous M&A experience between the target and the acquirer affects the value they, respectively, obtain when the acquirer takes over the target. Drawing on literature about organizational learning, negotiation, and information economics, we theorize that the party with greater experience will be able to obtain more value. Furthermore, we theorize that the effect of differential M&A experience on value obtained is contingent on the level of information asymmetry the acquirer faces with respect to the target, specifically as a function of the target's product‐market scope and whether the deal is friendly. We test and find support for these predictions in a sample of 1,241 M&As over a 30‐year period. Managerial summary : Corporate strategy is about a firm's scope and development decisions and outcomes, but corporate strategizing is incomplete unless managers anticipate the moves of other economic actors. We demonstrate the importance of these points when it comes to learning to make acquisitions. Using an innovative research design and theory that enables comparison between acquirer and target gains, we show that whatever their firm's acquisition history and capabilities, acquisitive managers should mind the negotiation and other pitfalls that arise when target firms possess ample acquisition experience of their own. We also demonstrate that the effect of experience advantage, whereby the more experienced party benefits, depends on the target firm's scope and whether the deal is friendly—two dimensions that acquirers can and should take into account. Copyright © 2016 John Wiley & Sons, Ltd.