The 3rd Knowledge: TX Adoption Models
人類行為研究/第3類知識創新:TX取用模式
Knowledge Spectrum |
Specification
Interdisciplinary research in pursuit the followings:
The 3rd
Knowledge: Popularly known as social sciences, behavioral sciences.
Knowledge
Spectrum: To explain the platform of different knowledge.
Behaviometrika: To
develop a new quantitative framework for the new definition of the 3rd
knowledge.
This community also deals Knowledge Management with the
development of 'Probability Knowledge' and the applications of Information
Systems.
There are two approaches to explain the practice of KM. The first
put KM as a design of process and environment to answer specific questions,
especially in behavioral questions and probability knowledge. The second
advocated KM as the new field look on information systems, decision support
systems, even data management and the use of the internet while others
considered it a combination of recycled concepts.
The four elements involved
in KM are Organization, People, Process and Technology.
Purple Woo
The
alias of this site is Purple Woo. Woo means 'cove' in Chinese. Purple Bamboo Woo
is where the Goddess of Wisdom Guan Shih Ying lives. She knows the methodology
that solves human being's sufferings.
Woo, in current English, also means a
cyber community for who share a specific interest.
Knowledge Management &
Information Systems
The construction of KM consisting of five processes: The
first is to create a setting for sharing knowledge. Access to knowledge breeds
more knowledge, and the best KM techniques ensure that every detail's involved
and without geographic boundaries. The second is to eliminate communication
filters by allowing people to skip technical levels?hich leads to more ideas on
how to do things better. The third is to prioritize the tasks. A prioritization
process can align brainpower and effort behind what's truly strategic. Project
leaders get together to rank all vital activities first to last, no ties
allowed. The process lets people share knowledge about what is being
accomplished, and break down the departmental barriers that bottle up ideas and
creativity. The fourth is to keep efficiency. Effective KM helps people to save
time and expense. The last is to solve questions for a specific domain.
The
realization of KM is to provide a total solution of decision support (DS)
environment via the internet. The point of departure is the observation that
yesterday's data are today's information, which will become tomorrow's
knowledge, and knowledge, in turn, recycles down the value chain back into
information and into data. KM articulates the basic terms of this perpetual
process. The proposed model defines operations and transformations of
data-to-information, information-to-knowledge, and their reverse order. Such
transformations correspond to a time dimension of past-present-future and
resemble the process of abstraction.
Sine most of current efforts in KM are
in knowledge sharing and knowledge information systems already, this web
community will emphasize the development in 'knowledge methodology' and the
logic to produce the probability knowledge.