How do organizational processes recover following a disaster? a capital resiliency model for disaster preparedness

Mihoko Sakurai, Richard T. Watson, Jiro Kokuryo

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

Abstract

This paper explores how organizational processes are recreated following their destruction in unexpected disasters. It applies the notion of an organization as a capital conversion and capital creation system. It also focuses on systems resilience, the measure of a system's persistence and ability to absorb disturbances while reconstructing relationships between system entities. Based on the analysis of empirical evidence collected from the Great East Japan Earthquake disaster in 2011, we propose a resiliency model incorporating a broader interpretation of the notion of capital. The model consists of five dimensions of capital: economic, social, symbolic, human, and organizational. Once a given capital is destroyed together with its creative organizational processes, communities will attempt to regain resilience by compensating with other dimensions of capital. Analyses demonstrate the importance of recreating organizational capital that coordinates capital conversion and recreation processes to meet the vital need of the residents. Examining this process of capital conversion and creation enables us to extend the notion of resilience.

Original languageEnglish
Title of host publicationProceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016
PublisherIEEE Computer Society
Pages2862-2871
Number of pages10
Volume2016-March
ISBN (Electronic)9780769556703
DOIs
Publication statusPublished - 2016 Mar 7
Event49th Annual Hawaii International Conference on System Sciences, HICSS 2016 - Koloa, United States
Duration: 2016 Jan 52016 Jan 8

Other

Other49th Annual Hawaii International Conference on System Sciences, HICSS 2016
CountryUnited States
CityKoloa
Period16/1/516/1/8

Fingerprint

Disasters
Regain
Earthquakes
Economics

Keywords

  • Capital
  • Disaster
  • Information systems
  • Organizational processes
  • Resilience

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Sakurai, M., Watson, R. T., & Kokuryo, J. (2016). How do organizational processes recover following a disaster? a capital resiliency model for disaster preparedness. In Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016 (Vol. 2016-March, pp. 2862-2871). [7427542] IEEE Computer Society. https://doi.org/10.1109/HICSS.2016.359

How do organizational processes recover following a disaster? a capital resiliency model for disaster preparedness. / Sakurai, Mihoko; Watson, Richard T.; Kokuryo, Jiro.

Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016. Vol. 2016-March IEEE Computer Society, 2016. p. 2862-2871 7427542.

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

Sakurai, M, Watson, RT & Kokuryo, J 2016, How do organizational processes recover following a disaster? a capital resiliency model for disaster preparedness. in Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016. vol. 2016-March, 7427542, IEEE Computer Society, pp. 2862-2871, 49th Annual Hawaii International Conference on System Sciences, HICSS 2016, Koloa, United States, 16/1/5. https://doi.org/10.1109/HICSS.2016.359
Sakurai M, Watson RT, Kokuryo J. How do organizational processes recover following a disaster? a capital resiliency model for disaster preparedness. In Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016. Vol. 2016-March. IEEE Computer Society. 2016. p. 2862-2871. 7427542 https://doi.org/10.1109/HICSS.2016.359
Sakurai, Mihoko ; Watson, Richard T. ; Kokuryo, Jiro. / How do organizational processes recover following a disaster? a capital resiliency model for disaster preparedness. Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016. Vol. 2016-March IEEE Computer Society, 2016. pp. 2862-2871
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