Notes #4 - Managerial Decision Making

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    Decision Making Process

    The intelligence phase

    Finding / Identifying / Formulating problems

    The design phase

    Develop alternative decisions The choice phase

    Chose the best decision from the pool

    Types of Decisions

    Based on convenience

    Structured

    Well defined decision making procedure where every decision

    is broken down in distinct stages of evaluation, alternative

    search, elimination and acceptance criteria. Semi Structured

    It is a mixed kind of situation where very limited amount of

    structuring is maintained at some areas of operation but

    otherwise no segmenting and structuring is done.

    Unstructured

    All three phases of decision making are unstructured and

    clustered. Any one of the functions (Input, Output or Internal

    Process) is not readily available because the decision must be

    very rare or new so that it was not extensively studied to

    incorporate procedures to deal with it within the system Based on criticality

    Strategic

    Affect the entire organization or a major part of it. These are

    quite long-term decisions and generally made at upper level

    of management

    Tactical

    This is also called management control decisions and affects

    only a part of the organization. This is taken by middle level

    management with the objective to meet the strategic plan.

    Operational Affect only one or two functional areas at a time. These are

    very short term and made at lower management levels.

    Based on availability

    Certainty / Uncertainty / Risk

    Based on programmability

    Programmed

    All resources for decision making are already available and

    the system can respond on the go.

    Non Programmed

    All resources are not available for instant decision making.

    2

    3Q1 (A) 2009

    Q4 (A)

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    Decision Making Models

    Rational Decision Making Mode

    o Consists of a structured four-step sequence

    identifying the problem

    generating alternative solutions

    selecting a solution

    implementing and evaluating the solution

    Political Decision Making Model

    o Assumes that people bring preconceived notions and biases into the

    decision-making situation

    o Self-interest may block people from making the most rational choice

    o Sometimes it is difficult to determine if a decision maker is

    operating rationally or politically

    Normative Model of Decision Making Simons Model

    o Based on premise that decision making is not rational

    o Decision making is characterized by

    limited information processing

    use of judgmental heuristics

    sacrificing

    Problem Solving Techniques

    Problem solving is a mental process and is part of the

    larger problem process that includes problem finding and problemshaping. Considered the most complex of all intellectual functions,

    problem solving has been defined as higher order cognitive process that

    requires the modulation and control of more routine or fundamental skills.

    Problem solving occurs when an organism or an artificial

    intelligence system needs to move from a given state to a desired goal

    state.

    More Problem-solving techniques

    Q1 (B) 2009Q3 (B)

    Q4 (B)

    Q8 (B)

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    Abstraction: solving the problem in a model of the system before applying

    it to the real system.

    Analogy: using a solution that solved an analogous problem.

    Brainstorming: (especially among groups of people) suggesting a large

    number of solutions or ideas and combining and developing them until an

    optimum is found.

    Divide and conquer: breaking down a large, complex problem into

    smaller, solvable problems.

    Hypothesis testing: assuming a possible explanation to the problem and

    trying to prove (or, in some contexts, disprove) the assumption.

    Lateral thinking: approaching solutions indirectly and creatively.

    Means-ends analysis: choosing an action at each step to move closer to

    the goal.

    Method of focal objects: synthesizing seemingly non-matching

    characteristics of different objects into something new.

    Morphological analysis: assessing the output and interactions of an

    entire system.

    Reduction: transforming the problem into another problem for which

    solutions exist.

    Research: employing existing ideas or adapting existing solutions to similar

    problems.

    Root cause analysis: eliminating the cause of the problem.

    Trial-and-error: testing possible solutions until the right one is found.

    How Decisions are being supported

    Man-Machine System DSS is man-machine system for decision making

    purposes. Man part is more open and probabilistic while the machine partis more closed and deterministic. E.g. DSS for deciding PRICE and

    ADVERTISING levels

    Closed-loop system with feedback external to system DSS uses feedback

    to adjust output. Feedback is not internal like an elevator. The user

    provides judgmental inputs to DSS.

    DSS components: Database, model base, knowledge base, interfaces

    which interact with each other and the user.

    (Judgmental) Heuristics

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    Availability Heuristic: A decision makers tendency to base

    decisions on information that is readily available in memory.

    Representativeness Heuristic: The tendency to assess the

    likelihood of an event occurring based on ones impressions about

    similar occurrences.

    Decision Styles

    Tuckmans Five-Stage Theory of group development

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    Group Decision MakingIt is decision making in groups consisting of multiple members/entities. The

    challenge of group decision is taking into consideration the various opinions of

    the different individuals and deciding what action a group should take. There arevarious systems designed to solve this problem.

    Formal systems

    o Consensus decision-making tries to avoid "winners" and "losers".

    Consensus requires that a majority approve a given course of

    action, but that the minority agrees to go along with the course of

    action. In other words, if the minority opposes the course of action,

    consensus requires that the course of action be modified to remove

    objectionable features.

    o Voting-based methods

    Range voting lets each member score one or more of theavailable options. The option with the highest average is

    chosen. This method has experimentally been shown to

    produce the lowest Bayesian regret among common voting

    methods, even when voters are strategic.

    Majority requires support from more than 50% of the

    members of the group. Thus, the bar for action is lower than

    with unanimity and a group of losers is implicit to this rule.

    Plurality, where the largest block in a group decides, even if it

    falls short of a majority.

    o Dictatorship, where one individual determines the course of action.Group Decision Making balance:

    Advantages Disadvantages

    Greater pool of knowledge

    Different perspectives

    Greater comprehension

    Increased acceptance

    Training ground

    Social pressure

    Minority domination

    Logrolling

    Goal displacement

    Groupthink

    Group Decision Support System (GDSS)

    This mainly has three reasons to come into being and become widely acceptedwithin a very short span of time. The various reasons associated with GDSS are:

    Task related reasons: It may be the case where one single person is not

    viable for a decision making and needs a consensus from various

    participants of the same level. Again, one single person may not have the

    expertise to deal with situations.

    Organizational reasons: Organizations were going into a grouped work

    environment, problem solving and decision making mode which pushed

    the IT market to comply with industrial requirements.

    Technical reasons: Connecting through GDSS became much more

    economical than distributed group policy system where different

    databases are individually connected together in a central location

    Q5 (A)

    2009Q8 (B) 2006

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    Disadvantages of GDSS

    Cost infrastructure costs to provide the hardware and

    software/room/network connectivity can be very expensive

    Security especially true when companies rent the facilities for GDSS;

    also, the facilitator may be a lower-level employee who may leakinformation to peers

    Technical Failure power loss, loss of connectivity, relies heavily on

    bandwidth and LAN/WAN infrastructure properly setup system should

    minimize this risk

    Keyboarding Skills reduced participation may result due to frustration

    Training learning curve is present for users, varies by situation

    Perception of messages lack of verbal communication could lead to

    misinterpretation

    Application of CBIS PPT Retail

    Railway

    Aviation

    Education

    Hotel

    Q5 (B)

    http://www.authorstream.com/Presentation/varun.goel-83162-cbis-application-science-technology-ppt-powerpoint/http://www.authorstream.com/Presentation/varun.goel-83162-cbis-application-science-technology-ppt-powerpoint/