基于Web信息组织的复杂性:价值评价体系

Value Evaluating system Based on Complexity of the Web Information Organization

文章考虑将基于Web信息管理的组织视作数学或者物理学中的特殊的表示,即看成是浑沌的复杂系统。在今天的计算机时代,不断变化着的信息决定了一个信息组织的生存与发展,正如信息生态的出现及信息作为今天经济社会最主要驱动因素已是毋庸置疑,而利用关于组织的复杂系统理论将有助于我们重新去领航或者引导管理者去管理信息,也正是在这样浑沌的边界产生了大量的创新及创造。21世纪人类社会的管理是基于Web信息的社会,如同浑沌的复杂系统,单一的指令性管理(MBI)或者严格的目标管理(MBO)不再是卓越追求的绩效管理。自组织理论本质上将揭示在基于Web信息的管理组织里人们愿意接受以价值为核心的评价体系或者行为准则(MBV)。复杂性理论解决的是系统在时空上的复杂结构,而通常隐含着简单的决定性准则。该理论表明一旦这样的准则被发现,则可以观察或者控制组织及系统明显的复杂性。自组织的浑沌状态表现在吸引子的出现,也是21世纪不断创新和变革的信息及基于Web信息的组织管理的必然性。在自组织的浑沌状态里,管理者及其成员并不被狭窄的准则所左右,而是逐渐发展和融合到由不同的信息文化及关联的全球一体化经济所构成的体系中里,并不断向组织的最优化潜在力方向成长。在上述意义下,价值充当着基于Web信息的组织管理者的无序的吸引子,在浑沌理论里这样的体系通常被不规则图形所描述并预测复杂系统未来行为。基于Web信息管理的组织(也如各类型复杂系统)始于某些准则延续到其生命周期结束可能是一较长时期。吸引子恰是这样的系统的行为结果的模型表示。吸引子不是系统的吸引的外力或者系统的目的性表现,其蕴涵着该系统基于其自身的运动准则而前进。因此,基于Web信息的管理组织需要营造或共享自治的、负责的、独立的、创新的、变革的、互动的价值体系,短期浑沌的风险反而被组织的外部复杂性所减弱,因为在这样的评价体系下,今天的基于Web信息的管理组织不断适应并改变决定其生命的信息环境。

In this paper, the information organization and relative information are firstly considered a kind of excellent representations in physics or mathematics, which are designated ＂chaotic＂ systems. Since the information of innovation will be vital for organizational survival in cyberspace, the viewing organizations in terms of ＂complexity systemic theory＂ may assist members in fine-tuning managerial philosophies that provide orderly management emphasizing stability within the information organization of organized chaos, for it is on the boundary of chaos that the greatest innovation creativity occurs. It is argued that 21st century the information ecological society, as chaotic social systems, will no longer be effectively managed by rigid objectives （MBO） nor by instructions （MBI）. The capacity for self-organization will be derived essentially from how the information organization members accept a shared set of values or principles for action （MBV）.Complexity systemic theory deals with systems that show complex structures in time or space, often hiding simple deterministic rules. This theory holds that once these rules are found, it is possible to make effective predictions and even to control the apparent complexity. In the self-organized state of chaos, social members are not confined to narrow roles, and gradually develop their capacity for differentiation and relationships, growing continuously toward their maximum potential contribution to the efficiency of the organization. In those meanings, values act as organizers of ＂attractors＂ of disorder, which in the theory of chaos are systems represented by usually regular geometric configurations that predict the long-term behavior of complex systems. In the information management and the relative information organization （as in all kinds of social systems ） the initial principles end up as the final principles in the long term. The attractor is not a force of attraction or a goal-oriented presence in the system; it simply depicts where the system is headed based on its rules of motion. Then, in the information management that cultivate or shares values of autonomy, responsibility, independence, innovation, creativity, and proaction, the risk of short-term chaos is mitigated by an external complexities that organizations are currently confronting is to alter the information organization surroundings of their dominant life under the principles of MBV.