CHAPTER 9 : ENABLING
THE ORGANIZATION - DECISION MAKING
MAKING BUSINESS
DECISIONS
1) Managerial decision-making challenges are analyze large amounts
of information, apply sophisticated analysis techniques and make decision
quickly.
2) There are six decision
making process :
-Problem
identification
-Data collection
-Solution
generation
-Solution
test
-Solution
selection
-Solution
implementation
THE DECISION MAKING
ESSENTIAL
1) Operational
decision making – employees develop, control, and maintain core business activities required to run the
day-to-day operations.
2) Structured decision –
situations where established processes offer potential solutions.
3) Managerial decision
making – employees evaluate company operation to identify, adapt to, and
leverage changes.
4) Semistructured
decisions – occur in situations in which a few established processes
helps to evaluate potential solution but not enough to lead to a definite
recommended decision.
5) Strategic decision
making – managers develop overall strategies, goals and objectives.
6) Unstructured
decisions – occurs in situations in which no procedures or rules exists
to guide decision makers toward the correct choice.
DECISION SUPPORT
SYSTEM (DSS)
1) Decision support system (DSS) – models information to support managers
and business professionals during the decision making process.
2) There
are three quantitative models used by DSS
- Sensitivity
analysis where the study of the impact that changes in one or more parts of the
model have on other parts of the model.
- What-if-analysis
where checks the impact of a change in an assumption on the proposed solution.
- Goal-seeking
analysis where finds the inputs necessary to achieve a goal such as a desired
level of outputs.
What is Artificial
Intelligence (AI) :
is
the intelligence of machines
and robots and the branch of computer science that aims to create it. AI textbooks define the field
as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its
environment and takes actions that maximize its chances of success. John McCarthy, who coined the term in 1955, defines it as
"the science and engineering of making intelligent machines."AI
research is highly technical and specialised, deeply divided into subfields.
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