How to turn knowledge into assets? (Sharer: Luo Zhenyu)
I. Difficulties and challenges in transforming knowledge into assets
1. Turning knowledge into assets essentially requires two things: "de-localization" and "re-embedding".
2. Finding knowledgeable people means localizing first and then embedding.
3. In the current era, the biggest difficulty of knowledge "de-localization" and "re-embedding" is that the challenges are changing and it is impossible to achieve standardization through SOP.
Second, how to turn knowledge into assets.
1. Relationship of "Data-Information-Knowledge-Wisdom"
(1) Observe and measure to obtain "data".
(2) The relationship between data is called "information".
(3) Apply information in action to generate "knowledge".
(4) The future latitude of knowledge plus time is "wisdom".
2. Knowledge exists in the actions of specific situations.
(1) Any knowledge exists in a field, which consists of three points: challenge scenario, giving up options and choosing options: what to do and what not to do when facing challenges. For example, the adaptation of China's * * * production party's 30,000 yuan emphasizes that the challenge of "upholding the leadership of the party" is "how to establish a strong leadership", and the option is "personal authoritative leadership" and the option is "party leadership". Therefore, knowledge can be expressed as "challenge-not-but".
(2) the way to turn experience into assets: not to concentrate, but to reduce.
* "Listen to a book every day" interview question: How to interpret Xinhua Dictionary?
* Kenya Hara: What people invent in the world is either a "bowl" (that is, a "vessel" for holding things) or a "stick" (that is, a "vessel" acting on a third party) or a combination of the two.
If a book is a star in the sky, what hole does Nu Wa fill with it?
3. Three key points of knowledge extraction
(1) From people: the challenge of someone around you, or someone's experience.
(2) Things change: knowledge is not "nothing", but "or" a wave of the left hand ".
Counterexample: Gauss is like a fox with its tail wiping off its footprints, so it is impossible to know how he settled his prey.
(3) Writing for successors: The target users of knowledge extraction are not leaders, but successors.