Learning in the gray zone: Harmful organizational learning from safety deviations in nuclear power plants
Jungwon Min,
Naoki Yasuda and
Tohyun Kim
Journal of Business Research, 2024, vol. 185, issue C
Abstract:
Organizations often encounter safety deviations, events that diverge from established safety standards without causing substantial harm. Despite their critical role in preventing severe safety incidents, organizational learning from safety deviations has been understudied. We propose that safety deviations lead to harmful learning due to decision-makers’ self-enhancement tendencies and normalization of these deviations, which facilitates future safety incidents. Our analysis of global nuclear power plants from 1990 to 2017, representing high-reliability organizations, supports this argument. Additionally, we demonstrate that institutional factors significantly mitigate the harmful effects of learning from safety deviations. This study advances the organizational learning literature by distinguishing learning from safety deviations from that derived from safety failures. Finally, we discuss practical implications for fostering safer organizations and societies.
Keywords: Organizational learning; Safety deviation; Safety failure; High-reliability organization (HRO) (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296324003874
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:185:y:2024:i:c:s0148296324003874
DOI: 10.1016/j.jbusres.2024.114883
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().