Anomaly in safety management: Is it constantly possible to make safety compatible with economy?

Atsuo Murata, Makoto Moriwaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Although it is clear that we must satisfy both economy and safety, we sometimes place more emphasis on economy than safety, which leads to a critical disaster or crash. The reason must be identified for the further enhancement of safety. This study explored why one cannot satisfy both economy and safety. We attempted to explain the reason using the collapse model of proper balance between safety and economy (efficiency) induced by the following cognitive biases: (i) mental accounting, (ii) loss aversion, and (iii) discount of safety. The measure or remedy of this collapse of the proper balance between safety and economy (efficiency) was proposed as (a) disclosure system, (b) commitment approach to safety, and (c) mechanism design.

Original languageEnglish
Title of host publicationAdvances in Safety Management and Human Factors - Proceedings of the AHFE 2017 International Conference on Safety Management and Human Factors, 2017
PublisherSpringer Verlag
Pages45-54
Number of pages10
Volume604
ISBN (Print)9783319605241
DOIs
Publication statusPublished - 2018
EventAHFE 2017 International Conference on Safety Management and Human Factors, 2017 - Los Angeles, United States
Duration: Jul 17 2017Jul 21 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume604
ISSN (Print)2194-5357

Other

OtherAHFE 2017 International Conference on Safety Management and Human Factors, 2017
CountryUnited States
CityLos Angeles
Period7/17/177/21/17

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Keywords

  • Anomaly in safety management
  • Discount of safety
  • Efficiency
  • Irrational behaviour
  • Loss aversion
  • Mental accounting

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Murata, A., & Moriwaka, M. (2018). Anomaly in safety management: Is it constantly possible to make safety compatible with economy? In Advances in Safety Management and Human Factors - Proceedings of the AHFE 2017 International Conference on Safety Management and Human Factors, 2017 (Vol. 604, pp. 45-54). (Advances in Intelligent Systems and Computing; Vol. 604). Springer Verlag. https://doi.org/10.1007/978-3-319-60525-8_6

Anomaly in safety management : Is it constantly possible to make safety compatible with economy? / Murata, Atsuo; Moriwaka, Makoto.

Advances in Safety Management and Human Factors - Proceedings of the AHFE 2017 International Conference on Safety Management and Human Factors, 2017. Vol. 604 Springer Verlag, 2018. p. 45-54 (Advances in Intelligent Systems and Computing; Vol. 604).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Murata, A & Moriwaka, M 2018, Anomaly in safety management: Is it constantly possible to make safety compatible with economy? in Advances in Safety Management and Human Factors - Proceedings of the AHFE 2017 International Conference on Safety Management and Human Factors, 2017. vol. 604, Advances in Intelligent Systems and Computing, vol. 604, Springer Verlag, pp. 45-54, AHFE 2017 International Conference on Safety Management and Human Factors, 2017, Los Angeles, United States, 7/17/17. https://doi.org/10.1007/978-3-319-60525-8_6
Murata A, Moriwaka M. Anomaly in safety management: Is it constantly possible to make safety compatible with economy? In Advances in Safety Management and Human Factors - Proceedings of the AHFE 2017 International Conference on Safety Management and Human Factors, 2017. Vol. 604. Springer Verlag. 2018. p. 45-54. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-60525-8_6
Murata, Atsuo ; Moriwaka, Makoto. / Anomaly in safety management : Is it constantly possible to make safety compatible with economy?. Advances in Safety Management and Human Factors - Proceedings of the AHFE 2017 International Conference on Safety Management and Human Factors, 2017. Vol. 604 Springer Verlag, 2018. pp. 45-54 (Advances in Intelligent Systems and Computing).
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