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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
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Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
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High-Level and Low-Level Awareness

Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Dissociated neural processing for decisions in managers and non-managers.

Svenja Caspers1, Stefan Heim, Marc G Lucas

  • 1Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany. s.caspers@fz-juelich.de

Plos One
|August 29, 2012
PubMed
Summary
This summary is machine-generated.

Managers utilize automated decision-making strategies, indicated by brain activity in the caudate nucleus, unlike non-managers who show more cortical activity. Professional demands may shape cognitive processing and neural mechanisms for decision-making.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Management Science

Background:

  • Decision-making research often overlooks personality and professional influences on cognitive processes.
  • Dual process theory posits intuitive (automated) versus rational (controlled) decision systems.
  • The neural basis for how professional roles modulate decision strategies remains unclear.

Purpose of the Study:

  • To investigate how professional requirements, specifically managerial roles, influence decision-making strategies and their neural underpinnings.
  • To test the hypothesis that managers, due to frequent decision pressures, favor automated strategies over rational ones compared to non-managers.
  • To explore the differential activation of brain regions associated with automated versus rational decision processes in managers and non-managers.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed to study brain activity.
  • A forced-choice paradigm using word-pairs was administered to participants.
  • Participants included both managers and non-managers to compare professional group differences.

Main Results:

  • Managers exhibited increased activation in the head of the caudate nucleus, associated with process automation.
  • Non-managers displayed greater hemodynamic response within cortical regions.
  • The observed patterns suggest distinct neural strategies for decision-making based on professional roles.

Conclusions:

  • Managerial roles, characterized by high-pressure decision-making, are associated with automated cognitive processing, supported by caudate nucleus activity.
  • Non-managers appear to rely more on rational, controlled processing, indicated by cortical activation.
  • Professional requirements can significantly modulate cognitive decision-making processes and their underlying neural mechanisms.