Identifying the typical biases and their significance in the current safety management approaches

Teemu Reiman, Carl Rollenhagen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

The aim of the article is to describe a set of biases in safety management practices and their possible consequences for safety. We will outline main biases of safety management in four thematic areas: beliefs about individual behavior, beliefs about organizations, safety models and safety management methods. A common theme underlying the biases is a lack of systems view on safety. A systemic safety management takes into account people, technology and organization and their interaction in equal terms. Furthermore, such an approach can shift focus from people to technology to organizational aspects depending on their current safety significance.
Original languageEnglish
Title of host publicationProceedings of PSAM 10
Subtitle of host publicationInternational Probabilistic Safety Assessment & Management Conference, 7–11 June 2010, Seattle, Washington, USA
PublisherInternational Association of Probabilistic Safety Assessment and Management IAPSAM
Pages2186-2197
ISBN (Print)978-1-4507-1556-0
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
Event10th International Probabilistic Safety Assessment & Management Conference, PSAM 10 - Seattle, United States
Duration: 7 Jun 201011 Jun 2010

Conference

Conference10th International Probabilistic Safety Assessment & Management Conference, PSAM 10
Abbreviated titlePSAM 10
CountryUnited States
CitySeattle
Period7/06/1011/06/10

Keywords

  • safety management
  • organizational factors
  • human factors
  • safety science

Cite this

Reiman, T., & Rollenhagen, C. (2010). Identifying the typical biases and their significance in the current safety management approaches. In Proceedings of PSAM 10: International Probabilistic Safety Assessment & Management Conference, 7–11 June 2010, Seattle, Washington, USA (pp. 2186-2197). International Association of Probabilistic Safety Assessment and Management IAPSAM.