复杂快变环境下的整体性应变工具:和谐主题

和谐主题是和谐管理理论中用于应对现代组织管理复杂性、整体性及快速应变需求的核心概念之一。围绕复杂快变环境下组织如何进行整体性快速应变这一管理难题,对现有和谐主题相关研究进行了拓展。具体而言,首先对和谐主题的本质属性进行了深入分析,得出和谐主题在本质上体现为组织领导者对不确定情境的"意义"主张的研究结论。在此基础上,通过与其他组织要素的比较,系统阐释了和谐主题的功能特征,提出和谐主题是复杂快变环境下组织进行整体性快速应变的一种有效工具。最后,以知识理论为基础对和谐主题的辨识与表征过程进行了考察,从而从知识学视角揭示了这2个过程的内在机理。一方面从理论上丰富了战略管理领域的相关研究,另一方面也为新经济环境下的组织管理实践提供了参考与借鉴。     

熊彼特竞争,交叉效应与创新激励

论文引入行业熊彼特竞争,基于技术原创性与市场原创性,纳入技术与市场专业人员努力的交叉效应,研究创新激励合约的时间长度、激励实现的组织形式与创新团队剩余索取权分成系数的选择.研究显示:1)当不存在委托代理问题时,技术与市场专业人员的整合总是创新团队组织的优化选择;2)创新团队的组织形式对企业创新对象的复杂性选择与剩余索取权分配不产生影响;3)行业熊彼特竞争强度、创新原创性与创新激励合约时间长度负相关;4)交叉效应与技术和市场原创性3者的关系决定了最优创新激励的组织形式.研究提高了创新团队管理的可操作性,强化了创新激励对行业竞争的响应性.     

金融系统复杂性问题研究述评

复杂性科学研究在国内外方兴未艾,从复杂性角度去审视,金融系统具有非线性、非周期性、动力系统性、初值敏感性和自组织等一系列复杂性表征,是一个开放的、动态的复杂巨系统。20世纪80年代中期以来,研究金融系统复杂性应用比较广泛的理论主要有混沌理论、分形理论、标度理论和突变理论等源自自组织非线性动力学、热力学领域的相关理论;在金融系统复杂性建模方法上,以主体建模（ABM）思想为指导,进一步提出了复杂适应系统（CAS）理论,基于“主体”设定一些“规则”运用计算机建模,对主体之间的复杂交互作用进行着重考察,克服了传统建模方法的诸多缺陷;在实证研究方面,主要分析了金融市场的时序分布规律和市场异象特征。但是,现阶段金融系统复杂性的研究仍有着明显的局限性,存在较大的进一步研究的空间。     

复杂性与社会经济系统建模

复杂性是当前学术研究中的一个热点，由于缺乏严格的形式化理论，至今尚未形成统一的定义。文章从系统理论的处理技术的发展过程着手，直面社会经济系统的复杂现象，探讨了目前处理复杂性的可能手段和不足之处，认为理论和现实之间的矛盾主要来自如何应对系统的结构性变迁问题。经典的系统理论致力于特定时刻系统与边界的划分，通过对各部分之间因果逻辑关系的分析，建立的动态系统模型无法克服牛顿还原论的影响。只有从方法论和认知论的高度，重新审视我们的理论范式；关注进化理论和还原论方法的结合，并借助现代计算机的强大运算能力，似乎是一条可资借鉴的道路。     

A Child and Adolescent Mental Health Day Program Working at the Edge of Chaos: What Complexity Science May Tell Us About Team,Family and Group Systems

The purpose of this article was to explore the potential application of the science of complexity to aspects of team, family and group systems. A child and adolescent mental health Day Program as a tightly knit multidisciplinary team closely interacting with family systems, provides an opportunity to illustrate concepts of this general scientific framework and offer potentially unique insights. In particular, the relevance of diversity and interconnectivity between parts of a system are highlighted. Ideas explored include team functioning, how change occurs in families and new ways of looking at groups. Furthermore, complexity provides support for intensive multisystemic interventions such as the Day Program to assist families with severe and chronic child mental health issues.     

不同精神状态下EEG序列复杂性研究(英文)

构造了与脑电的源熵相同的（０，１）分布随机序列，以及用白噪激励依据脑电构造出的ＡＲ模型而得到的ＡＲ序列来作为伪脑电信号。通过比较这三种序列的复杂度，证明了脑电远非随机信号，而是存在某种模式，这种模式可以由ＡＲ模型部分表示出来。在此基础上，对三种精神状态下的脑电序列的复杂度进行了双因素方差分析，结果表明复杂度可以显著地区分这三种状态。     

浅析后现代的商业空间

商业与后现代特有的现象特征有着很多的共性。后现代文化所强调的多元化、丰富性、大众化等都与商业有着很多的契合点，使得商业建筑在空间、设计手法、功能流线等很多方面受了后现代设计方法和模式的影响，呈现出大众愉悦性、复杂性、情趣性、隐喻性和符号性等后现代商业的特征。     

Human Behavior and Biodiversity Loss: A Theoretical Analysis

Diversity of genes, species, and ecosystems altogether constitute biodiversity. Biodiversity is essential for our survival. Anthropogenic biodiversity loss is due to reasons such as unsustainable production and consumption, human population growth, and poverty. Despite various efforts undertaken for conserving biodiversity, nothing significant has been achieved. This study focuses on human behavior for biodiversity loss. The goal of human life is genetic survival through reproduction. The driving force for reproductive success can be explained through natural selection. From an evolutionary perspective, resources acquire intrinsic utility when they enhance the inclusive fitness, called reproductive success. Human behavioral change is required for conserving biodiversity.     

Promoting social innovation amidst organizational complexity: Case study evidence from the German Red Cross

Social innovation is concerned with the creation and implementation of new solutions to social problems. Although research commonly frames social innovation as the domain of small, entrepreneurial organizations, an increasing number of large and well-established nonprofit organizations have started actively launching their own innovation initiatives. Using a case study of social innovation ventures within the German Red Cross (GRC), this study identifies organizational hurdles and viable management strategies targeting the promotion of social innovation within particularly complex organizations. Based on our results, we develop a conceptual framework highlighting that promoting social innovation in established organizations requires simultaneous attention to multiple dimensions of leadership and governance. Our study thereby offers a blueprint for management strategies that can guide nonprofit leaders in their quest to promote social innovation from within their organization.     

Social Network Analysis for Analyzing Groups as Complex Systems

ABSTRACT

The introduction and application of social network analysis, a method seen as superior to experimental or single-system research design for showing group change, examined group dynamics and change over time using a hypothetical example of an Internet group for gays and lesbians. Rather than utilizing traditional definitions of independent and dependent variables, the analysis utilized hypothetical data with nodes or individuals, ties, and the relationships they formed. The recently developed computer program NodeXL provided diagrams and statistics that demonstrated node and tie variation and individual and group development over time. Discussion demonstrated the utility of such diagrams for research and practice.