A systems approach to human error identification

Neville Stanton; Chris Baber

doi:10.1016/0925-7535(96)00016-1

A systems approach to human error identification

Neville Stanton^*, Chris Baber

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

32 Citations (Scopus)

Abstract

Human error has been the subject of much debate over the past two decades. Alongside this debate, a number of methods have been developed to predict human error. In this paper a systems approach to the topic is proposed. A methodology based upon the approach has been developed and is reported. The methodology is illustrated by way of a case study. Future directions are indicated.

Original language	English
Pages (from-to)	215-228
Number of pages	14
Journal	Safety Science
Volume	22
Issue number	1-3
DOIs	https://doi.org/10.1016/0925-7535(96)00016-1
Publication status	Published - 1996

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
Safety Research
Public Health, Environmental and Occupational Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/0925-7535(96)00016-1

Cite this

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title = "A systems approach to human error identification",

abstract = "Human error has been the subject of much debate over the past two decades. Alongside this debate, a number of methods have been developed to predict human error. In this paper a systems approach to the topic is proposed. A methodology based upon the approach has been developed and is reported. The methodology is illustrated by way of a case study. Future directions are indicated.",

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AU - Stanton, Neville

AU - Baber, Chris

PY - 1996

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AB - Human error has been the subject of much debate over the past two decades. Alongside this debate, a number of methods have been developed to predict human error. In this paper a systems approach to the topic is proposed. A methodology based upon the approach has been developed and is reported. The methodology is illustrated by way of a case study. Future directions are indicated.

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U2 - 10.1016/0925-7535(96)00016-1

DO - 10.1016/0925-7535(96)00016-1

M3 - Article

AN - SCOPUS:0030083098

SN - 0925-7535

VL - 22

SP - 215

EP - 228

JO - Safety Science

JF - Safety Science

IS - 1-3

ER -

A systems approach to human error identification

Abstract

ASJC Scopus subject areas

UN SDGs

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