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A Management Science Perspective on Resilience

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Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 956))

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Abstract

The practice of resilience within many industries, especially aviation, oil, and nuclear power, focuses on practice at the individual, system, and organizational level. At the individual and system levels, near-miss events, mishaps, and incidents are investigated to determine causal factors to proactively rectify the problems. At the organizational level, resilient behavior begins with a strategic model that encompasses management commitment to safety. The field of resilience engineering has made great strides in understanding resilience at each of these levels. However, work in this field sometimes fails to consider additional perspectives provided by other fields that may fill gaps in our knowledge. The purpose of this paper is to consider how theories from management science may augment ideas in resilience engineering to allow for a more complete understanding of resilience as a multi-level phenomenon.

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Author information

Authors and Affiliations

  1. Department of Management, Culverhouse College of Business, University of Alabama, Tuscaloosa, AL, USA

    Kimberly Stowers, Youjeong Huh & Lisa Brady

  2. Department of Computer Engineering and Sciences, College of Engineering and Science, Florida Institute of Technology, Melbourne, FL, USA

    Yash Mehta

  3. MITRE Corporation, McLean, VA, USA

    Nicholas Kasdaglis

Authors
  1. Kimberly Stowers
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  2. Yash Mehta
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  3. Youjeong Huh
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  4. Lisa Brady
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  5. Nicholas Kasdaglis
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Corresponding author

Correspondence to Kimberly Stowers .

Editor information

Editors and Affiliations

  1. Idaho National Laboratory, Idaho Falls, ID, USA

    Ronald L. Boring

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Stowers, K., Mehta, Y., Huh, Y., Brady, L., Kasdaglis, N. (2020). A Management Science Perspective on Resilience. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2019. Advances in Intelligent Systems and Computing, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-030-20037-4_27

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  • DOI: https://doi.org/10.1007/978-3-030-20037-4_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20036-7

  • Online ISBN: 978-3-030-20037-4

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