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Cognitive and Motivational biases in decision and risk analysis

   

Added on  2022-10-15

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Running head : COGNITIVE AND MOTIVATIONAL BIASES IN DECISION AND RISK
ANALYSIS
Title : Cognitive and Motivational biases in decision and risk analysis
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Cognitive and Motivational biases in decision and risk analysis_1

COGNITIVE AND MOTIVATIONAL BIASES IN DECISION AND RISK ANALYSIS
1
Table of Contents
Introduction................................................................................................................................3
Discussion..................................................................................................................................3
Cognitive and motivational biases that are relevant for decision and risk analysis from a
project management perspective............................................................................................3
Guidance about de – biasing techniques and ways to overcome it............................................5
Biases that are less relevant because they can be corrected by using logic or decomposing the
elicitation....................................................................................................................................8
Conclusion................................................................................................................................11
References................................................................................................................................12
Cognitive and Motivational biases in decision and risk analysis_2

COGNITIVE AND MOTIVATIONAL BIASES IN DECISION AND RISK ANALYSIS
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Introduction
In the report the focus is on the prejudice that are applicable for risk analysis and
decision as they can manipulate the conclusion of an analysis to a great extent and are not
easy to rectify. Instances are the boldness prejudice while obtaining possibility
disseminations by the specialist in risk examination. When decision takers puts weights to
objectives in multicriteria decision analysis all prejudice becomes of same weight. On the
other side here are predispositions which are less important as these can be easily rectified in
the common responsibilities of obtaining inputs aimed at risk analysis in addition decision
making process. Instances are the ignoble rates neglect bias, which can be avoided by
obtaining base rate distinctly from probabilities, and the non regressiveness prejudice, that
can be evaded by obtaining measures, correlations and standard deviation in place of
provisional estimations. Meyer and Booker deliver an initial nomenclature of favoritisms that
contained intellectual and group burden prejudices. Von Winterfield pointed out many
intellectual favoritisms when explaining the impact of interactive research for pronouncement
analysis. Biases in multi attribute weight assessment is explained by Weber and Borcherding.
Inferences of prejudices for multicriteria pronouncement investigation modelling is explained
by Morton and Fasolo.
Cognitive and Motivational biases in decision and risk analysis_3

COGNITIVE AND MOTIVATIONAL BIASES IN DECISION AND RISK ANALYSIS
3
Discussion
Intellectual and motivational prejudices that are applicable for decision and risk
analysis from a project management perspective.
A cognitive bias is a methodical design of alteration from the rules and sensibility in
the ability to take considered decision or to come to sensible conclusion. Human beings
formulate their own subjective reality from their own regard and interpretation of the input
(Montibeller and Von Winterfeldt 2015). Researchers of behavioral decisions have
pinpointed many number of biases in the ability of the human to take decisions. Every human
being shows fluctuations from the normal rules of utility theory or probability. All the
behavioral research talks about cognitive biases. It deals with incorrect mental processes that
result in decision and judgment to breach generally acknowledged normative ideologies.
Motivational biases comprise sentient or intuitive manipulation of decisions and judgments
due to organizational context, social pressures and self – interest. Risk analysts and decision
makers use all these present favoritisms to reason aimed at the practice of demonstrating and
investigation apparatuses as these process can rectify human prejudice and mistakes in taking
pronouncement. But judgment in decision and risk modelling needs to be done by experts and
decision makers so that they worry about the biases that manipulate what to be taken into that
models that are intended to rectify them. For example, in a risk analysis model, when a
probability distribution is put as a input one needs to remember the overconfidence bias.
When determining probable effects of decision alternatives, individuals need to be worried
through the self – interest of the specialists, who might take interest in the consequence of the
investigation. A methodical variation among the fixed accurate response in a condemnatory
task, which is agreed by a proper normative regulation and the actual answer of the expert in
that task is called cognitive prejudice. Motivational prejudices are such issues in which
decisions are prejudiced by the attractiveness or non desire of significances, choices,
Cognitive and Motivational biases in decision and risk analysis_4

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