Embedding critics in decision-making environments to reduce human errors

Toufic Mezher, M. Asem Abdul-Malak, Billal Maarouf

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Managers, by human nature, are not optimal decision-makers. There are several errors that hinder the decision-making process, e.g. cognitive biases, accidents, cultural motivations and missing knowledge. These errors can lead to serious consequences. This paper discusses the four errors and their impact on the decision analysis process. In addition, the paper introduces expert critiquing systems. These collaborative systems can help managers or decision-makers reduce the above-mentioned errors in an automated environment. The critiquing theory is also discussed. Finally, a critiquing example details the application of expert critiquing systems in an automated environment. The example shows how a knowledge-based system was used to reduce judgmental human errors.

Original languageBritish English
Pages (from-to)229-237
Number of pages9
JournalKnowledge-Based Systems
Volume11
Issue number3-4
DOIs
StatePublished - 12 Nov 1998

Keywords

  • Decision analysis
  • Decision-making
  • Expert critiquing systems
  • Human errors and biases

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