Knowledge Management Technologies and Business Expansion Brief for King Edward VII College

Running head: MANAGEMENT 1
Management
Name
Institution

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Management
Task I: Knowledge Management Technologies
1) Types of technologies used knowledge and information management
Introduction
Rowley and Farrow (2018) defines knowledge management as information technologies
used for effective knowledge management. The only difference between knowledge management
and information management methods is the fact that knowledge management technologies put
more emphasis on knowledge management rather than information processing. The operations of
the knowledge management strategies are based on the infrastructure built by information
management systems.
Components of effective knowledge management technologies
a. Document management systems
This technology is used for retrieving and processing data or explicit knowledge from the
organizations database. KM technology is an important face of information processing as it is
based on the actual people and the existing systems. Its role is to disseminate internalized
codified information between parties through collaboration and mentorship.
b. Groupware and Workflow systems: these are the mechanisms used for knowledge
generation as evidence-based reasoning systems (Park, et al.,). Other areas where artificial
intelligence is seen as being applied in knowledge management is the computer-based
simulations and databases used by managers to enhance information processing in companies.
Finally, this strategy can be observed in the stages of enterprise resource planning software for

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expert allocation of resources with guaranteed maximum returns. This technology is based on
know-how, know-why and know-who making it difficult to imitate.
Components of Knowledge management technologies under Artificial intelligence
It is founded on the principles of deep wisdom and mutual understanding of common
knowledge. Encompasses both the codified and uncodified information. The most important type
of knowledge is the uncodified knowledge which is hosted in the base of practitioners’ minds
and is normally contexed-based. This knowledge is based on the experience of the parties
involved.
2) Trends in knowledge and information management.
Web 2.0 technologies:
According to Aguiton and Cardon (2017), this technology deals not merely with data
transfer but involves the greater efforts of bridging the gaps between society. It is a mechanism
through which unstructured thoughts and notes are transferred from one person to another. This
technology is applied by experts to locate, understand and create conducive environments where
knowledge can be passed with minimal efforts.
3) Meaning of the methods of analysis and their relevance in decision making.
a) Correlation calculations
Are statistical tools used to measure how strong variables relate to each other. They
include Pearson’s correlations and the Spearman’s correlation coefficients. The relevance is that
it is used in linear regression analysis (Mizukami, 2015).

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b) Short to medium-term term and long-term trend analyses.
These are techniques used in technical analysis which try to explain the future through
extrapolation. These are the methods used to explain trends and actions which are taking place
over a given time frame. Relevance: used by investors who take part in stock trading to study the
trends and future market conditions before investing.
c) Probability assessment
This is a technique used for practical decision-making problems where the problems to be solved
requires a rational analysis today to prevent future calamities. Some of the practical examples are
exhibited in risk analysis in organizations.
d) Regulation Analyses
This is a technology used by experts to critically assess the positive and negative impacts
of proposed rules and unwritten guideline options. It is an evidence-based approach to solving
problem.
d) Dynamic Programming
This is a mathematical programming tool that uses computer generated formulas to find
solutions in aerospace engineering and econometric fields by experts. In other words, it is used to
simplify complicated problems by breaking them into sub-contents and which are solved
recursively.
e) Linear Programming