ch 7 Flashcards

individual and group decision making

1
Q

decision

A

a choice made from among available alternatives

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2
Q

decision making

A

the process of identifying and choosing alternative courses of action

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3
Q

rational model of decision making

A

(aka the classical model)

explains how managers should make decisions; predicts managers will make logical decisions that are the optimal means to further the organization’s best interests

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4
Q

diagnosis

A

identifying and analyzing the underlying causes

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5
Q

3 things to consider when evaluating alternatives…

A
  1. is it ethical?
  2. is it feasible?
  3. is it ultimately effective?

using big data and artificial intelligence can help facilitate evaluating alternatives

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6
Q

what’s wrong with the rational model

A
  1. complete information, no uncertainty
  2. logical, unemotional analysis
  3. best decision for the organization
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7
Q

bounded rationality

A

suggests that decision makers’ ability to be rational is limited by numerous constraints

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8
Q

hubris

A

an extreme and inflated sense of pride, certainty, and confidence

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9
Q

satisficing model

A

seeks alternatives until they find one that is satisfactory, not optimal –> first solution that works

“satisfactory is good enough”

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10
Q

holistic hunch

A

intuition that stems from expertise

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11
Q

automated experience

A

intuition based on feeling

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12
Q

what is causing the growth in ethical lapses?

A
  • organizational level factors
  • group level factors
  • individual level factors

^you can respond to these by hiring an ethics officer

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13
Q

decision tree

A

a graph of decisions and their possible consequences

used to aid in making decisions, especially when there is uncertainty

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14
Q

evidence-based decision making

A

the process of gathering and analyzing high-quality data to develop and implement a plan of action

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15
Q

big data

A

an extremely large quantity of data that is too large for a typical computer to handle and requires the use of new technologies and statistical approaches to process it

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16
Q

descriptive analytics

A

identifies trends and relationships within big data

17
Q

artificial intelligence

A

a set of technologies that develop human-like capabilities such as gathering and interpreting information, generating responses, and learning from decisions to attain specific objectives

18
Q

predictive analysis

A

combines historical data with statistical models and machine learning to specify the likelihood of future outcomes