Knowledge evolution
KM's knowledge evolution
Knowledge evolution clear knowledge evolution in the implementation of enterprise KM implementation, establish an effective establishment of corporate KM knowledge evolution, and establishes effective under this guiding The knowledge evolution mechanism has a basic role.
The meaning of knowledge evolution
Knowledge evolution is mainly due to the effective implementation of enterprise KM, mainly in the following three aspects:
1 help to improve KMS knowledge Quality and problem solving efficiency. Even if KMS knowledge is completed on the basis of knowledge recognition, it has high targeted, but the knowledge value has strong environmental dependence, the time dimension continues, resulting in changing knowledge applications, so that the knowledge activity obtained in the old environment is decreased. Effectiveness affecting system problem solving. With the system operation process, new knowledge is constantly incorporated into the knowledge base, its scale continuous expansion, and the continuation of low-active knowledge has restricted KMS problem solving efficiency. Knowledge evolution is updated and perfecting for low-live knowledge or performing elimination / sleep processing, enabling the quality of knowledge base and maintains its scale in a suitable range, thereby ensuring the efficiency and effectiveness of the system operation.
2 helps improve corporate employee skills and enhance its overall quality. KM knowledge evolution must not only study the evolution technology of enterprise coding knowledge, but also to study the evolutionary strategy of non-coded knowledge important to account for most of the company's knowledge base. Employees are non-coding knowledge carriers, non-coding knowledge evolution is to improve employee knowledge structure, update and improve their old knowledge, or forgetting. Some people analyzed that college students graduated in 1976 have 50% of knowledge in 1980 to enter the old state _1, and the current knowledge life cycle is unprecedented. Enterprises must take effective measures to promote the continued evolution of non-coding knowledge of employees to enhance their overall quality.
3 helps maintain corporate knowledge advantages and improve its strain ability, and then achieve sustainable development. In the era of knowledge economy, corporate competition is the competition of knowledge stores and quality, which is the competition of corresponding capabilities in the knowledge chain. Knowledge evolution improves the knowledge activities of enterprises, thereby enhancing its environmental adaptability and strain ability. In the 1980s, he ranked 500 companies in the "Wealth" magazine, and about 60% of the sales in today. The reason is, which is, but with the industrial economy transition to the knowledge economy, disability, non-focused on knowledge evolution and the core ability of knowledge evolution and knowledge is no doubt, is one of the main reasons for most enterprises. Instead, some companies that have realized knowledge roles, focus on knowledge evolution, promote knowledge innovation, such as 3M, Intel and Microsoft, have maintained a continuous development momentum with its strong competitive advantage. Kim.WC has conducted a survey of more than 100 companies in the United States. Its results show that it emphasizes knowledge evolution and innovative enterprises, although only 14% of the sample capacity, its annual total income accounts for 38% of the investigations, the profits account for 61%.
Knowledge and thought paragraph
Imagination is more important than knowledge, "is a famous saying in Einstein, a large scientist. In the construction of a learning party organization, a learning society and an innovative country The era is revisiting this famous saying, which can bring a lot of profound enlightenment to help us further clarify the purpose of learning, improve learning results, and better promote work and career.
The purpose of learning is What? This seems to be a simple question, it is self-evident - traditional views believe that the purpose of learning is to get knowledge. Under this view, various learning and educational activities are surrounded by knowledge. Come, people often use the knowledge of knowledge as an important standard for measuring learning results. This undoubtedly there is a certain reason. However, with the development of the times and the progress of the society, people further realize that the knowledge is the purpose of learning. Not all; improve the comprehensive quality, enhance the spiritual realm, cultivate innovative thinking, enhance innovation ability, and the purpose of learning. In today's era, the next one is more important. This is also the central government to build a learning party organization, learning type An important starting point for social and innovative countries.
Innovation is a complex and arduous thinking and practice activities, and imagination is an indispensable important factor. The so-called imagination is the human brain The ability to create new images on the basis of the appearance. Studies have shown that people can not only remember the image of things that have been perceived (ie, the appearance), but also imagine the image of things that have never been seen before. It is because Imagination, people can constantly discover new things, new laws, propose new concepts, new theories, create new knowledge, new products, promote practice development and social progress. Marx once called "greatly promoting human development. Talent ". Einstein believes that the imagination is more important than knowledge, because knowledge is limited, relatively fixed, and imagination summarizes everything in the world, thus becoming the source of human knowledge evolution. Real factors. British scientists Beverri also pointed out: "The reason why imagination is important is not only to guide us to discover new facts, but inspire us to make new efforts, because it makes us see the consequences of it. The facts and vision itself is dead, it is imagination gives them life. "
Human history has fully proved the importance of imagination. Ancient and modern China and foreign countries, many great scientists, inventors, thinkers, artists have rich imagination, many great scientific theories and invention creations In the case of the "Zhuangzi" book "Zhuangzi" in ancient Chinese philosophy, many of our ancient philosophy is to express through imagination. The Polish Astronomer Copernico is proposing "The Sun Center said" before, I thought " The sun is sitting on the throne, led the planet family around it. "German chemist Keculer in the molecular structure theory, the atomic idea is idea to the ring snake-connected end-tail, and thereby proposes an annular structure of a benzene molecule. Theory; British physicist and chemist law imagination magnetic can generate electricity, then through 9 years of experiment, the electromagnetic induction principle is proposed, forming the prototype of the world's first induction generator. The elements of the elements, the gravitation, Field, gene, multidimensional spatial scientific theory and scientific achievements are also rich in imagination. Therefore, when we learn, we should innovate learning concepts, improve learning methods, both pay attention to acquisition knowledge, and focus on cultivating imagination. / p>
Einstein emphasizes that "imagination is more important than knowledge", not to negate the importance of knowledge, but to remind people to pay more attention to cultivate imagination. Moreover, imagination is usually based on human beings Based on knowledge and profound understanding. If you have a necessary knowledge accumulation, imagination can only become "not fruitful flowers. So, we can't go to another extreme in the process of learning. Cultivate imagination, light or neglect acquisition knowledge, and strive to achieve both organic unity. Knowledge evolution mechanism in
through the KMS Knowledge Evolution Subsystem, KES) Effective support for the link. Kees knowledge evolution is based on the principle of knowledge life cycle, and the company's knowledge base (including coding knowledge and non-coding knowledge) is made, and the knowledge of insufficient activity or loss of activity is made. Timely update and phase-out treatment to ensure the effectiveness of the quality and knowledge management system of the enterprise intellectual assets.
Implementing knowledge evolutionary ideas and procedures
from the background of macro knowledge The knowledge life cycle is generally accelerated shortened trend; from micro knowledge units, the knowledge of different types and content has a different life cycle. Kes Knowledge evolution draws on the principle of Darwin's biological evolution, and has "natural selection" function, Different is that it requires the subjective judgment and participation of knowledge main body.
Implemented
by 2 phases, the knowledge unit is active. Use "knowledge activity" concept To achieve the image description of knowledge unit vitality, and characterize the interactive relationship of knowledge main body - knowledge value. The greater the value, the higher the activity of the knowledge unit.
Its two, the knowledge unit that reaches or below the given evolutionary threshold, regards its specific value, and performs corresponding evolutionary treatment. This includes the 2 type:
1 for knowledge units having a higher value than a given evolutionary threshold but higher than the phase-out threshold, for the current knowledge environment and the original knowledge environment (the knowledge unit is acquired or last time The characteristic difference between the updated / perfect knowledge environment is performed and improved, and its knowledge activity is improved, thereby continuing its life cycle. The evolutionary threshold and phase-out threshold of the knowledge unit are given by the domain expert.
2 For knowledge units that have been achieved or lower than the phase-out threshold, it is decisively discarded or plays a "sleep" state. Knowledge value has strong environmental dependence, some knowledge units that reach or lower the phase-out threshold in the current application environment, which may still be re-acquired or enhanced after a certain time environmental condition changes. Knowledge "Sleep" is considered for this layer, and the knowledge unit that meets or below the phase-out threshold is transferred from active state to "sleep" status, saves maintenance costs, improve system performance; when a certain moment Meet, immediately activate it.
Like biological evolution, KES knowledge evolution also has an individual evolution (knowledge unit level) and group evolution (Knowledge base level). The cumulative effect of the mutation in individual evolution will eventually guide and promote the effect of population evolution. When the knowledge unit level maintains a continuous, effective evolutionary level, the quality and effectiveness of the entire knowledge base will be steadily improved. According to the evolutionary amplitude, knowledge evolution is divided into applying evolution and periodic evolution. Applying knowledge evolution is in the application of knowledge units, the changes and application of knowledge units for knowledge applications, appreciation, and the process of knowledge adaptation, correction and system learning process in the knowledge application process. Periodic Knowledge Evolution refers to the value assessment of some or all of the knowledge in the knowledge base every time period T (depending on the characteristics of knowledge applications), and performs corresponding evolution.
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