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Knowledge Discovery - Coggle Diagram
Knowledge Discovery
KM and Business Intelligence.
Tacit knowledge and BI
Three elements
internal structure
external structure
employee competence
five primary categories of critical success for KM
structure, roles, and responsibilities
IT infrastructure
culture
measurement
leadership
Articulation is the process of converting tacit knowledge to explicit knowledge
articulating parameters, objective functions, relationships, etc., in a BI mathematical
model
articulating ‘‘what-if’’ model cases that reflect existing and potential decision-making
situations.
specifying the purpose of the decision
evaluating the decision alternatives, given the uncertainty in the decision-making
environment.
Perkins’s theory suggests that understanding involves the knowledge of three things
a set of relations or models of the process/system to be understood
arguments about why the relations/models serve the purpose.
the purpose of the analysis
Big Data
data-driven insights
Gestalt insight learning theory
Organizational learning theory
Data-driven insight
prescriptive insight.
predictive insight
descriptive insight
Research methodology
Data collection
Measures and questionnaire administration
Data analysis and results
Structural model
control variables
number of employees
revenue
industry type
Measurement model
Post hoc analyses
Impact of BI through KM
Proposed Hypotheses
primary activities
getting data out
getting data in
Phases
information analysis
storage
information acquisition
information utilization
identification of information
needs
Hypothesis.
H1: There is a positive relation between the search of information and BI.
H2: There is a positive relation between the utility of information and BI.
H3: There is a positive relation between the treatment of information and BI.
H4: There is a positive relation between information of information and BI.
H5: BI has a positive impact on the competitiveness
of a company.
Objectives
consistency
transformation