Intuition

By M. Sinclair, Neal M. Ashkanasy. 2005

494 citations recorded by the source corpus.

Faced with today’s ill-structured business environment of fast-paced change and rising uncertainty, organizations have been searching for management tools that will perform satisfactorily under such ambiguous conditions. In the arena of managerial decision making, one of the approaches being assessed is the use of intuition. Based on our definition of intuition as a non-sequential information-processing mode, which comprises both cognitive and affective elements and results in direct knowing without any use of conscious reasoning, we develop a testable model of integrated analytical and intuitive decision making and propose ways to measure the use of intuition.

Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ff1787c6cb3fd4b3b918b6c1f58f4c4517765865

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Francesco Ackermann
  2. Kevin Thomas
  3. A. Allen
  4. Viktor Dörfler

In General Decision Sciences

  1. Francesco Ackermann
  2. Kevin Thomas
  3. A. Allen
  4. Viktor Dörfler

In Management Science and Operations Research

  1. Francesco Ackermann
  2. Kevin Thomas
  3. A. Allen
  4. Viktor Dörfler

Citations in the corpus