Identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants: An explanatory study

Operating teams consisting of several team members still play a critical role in coping with off-normal conditions in socio-technical systems. Thus, various kinds of human reliability analysis methods have been suggested based on the consideration of diverse performance shaping factors that can affe...

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Main Authors: Jinkyun Park, Wasin Vechgama, Seung Ki Shin
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Nuclear Engineering and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573324004418
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author Jinkyun Park
Wasin Vechgama
Seung Ki Shin
author_facet Jinkyun Park
Wasin Vechgama
Seung Ki Shin
author_sort Jinkyun Park
collection DOAJ
description Operating teams consisting of several team members still play a critical role in coping with off-normal conditions in socio-technical systems. Thus, various kinds of human reliability analysis methods have been suggested based on the consideration of diverse performance shaping factors that can affect the performance of team members. Unfortunately, since multiple performance shaping factors can vary across operating teams (i.e., crew-to-crew variability), it is crucial to figure out how to visualize this variability in a systematic way. In this regard, comparing the cultural characteristics of operating teams with their performance would be a good starting point. This study investigates how cultural characteristics can be correlated with the occurrence of unsafe acts based on empirical data collected from operating teams working in the main control room of Korean domestic nuclear power plants. The cultural characteristics of the operating teams were visualized using five Hofstede's cultural indices and compared with the number of unsafe acts observed from simulated off-normal conditions. As a result, a statistically significant correlation is found between the occurrence of unsafe acts and one of the Hofstede's indices. From this finding, it is expected that a relevant probe to scrutinize crew-to-crew variability could be soundly determined in future works.
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spelling doaj-art-61bbe3e44c2f476f95436442fe6a7d102025-01-31T05:11:05ZengElsevierNuclear Engineering and Technology1738-57332025-02-01572103193Identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants: An explanatory studyJinkyun Park0Wasin Vechgama1Seung Ki Shin2Korea Atomic Energy Research Institute (KAERI), Republic of Korea; Corresponding author.Korea Atomic Energy Research Institute (KAERI), Republic of Korea; Korea National University of Science and Technology (UST), Republic of Korea; Thailand Institute of Nuclear Technology (TINT), ThailandKorea Atomic Energy Research Institute (KAERI), Republic of KoreaOperating teams consisting of several team members still play a critical role in coping with off-normal conditions in socio-technical systems. Thus, various kinds of human reliability analysis methods have been suggested based on the consideration of diverse performance shaping factors that can affect the performance of team members. Unfortunately, since multiple performance shaping factors can vary across operating teams (i.e., crew-to-crew variability), it is crucial to figure out how to visualize this variability in a systematic way. In this regard, comparing the cultural characteristics of operating teams with their performance would be a good starting point. This study investigates how cultural characteristics can be correlated with the occurrence of unsafe acts based on empirical data collected from operating teams working in the main control room of Korean domestic nuclear power plants. The cultural characteristics of the operating teams were visualized using five Hofstede's cultural indices and compared with the number of unsafe acts observed from simulated off-normal conditions. As a result, a statistically significant correlation is found between the occurrence of unsafe acts and one of the Hofstede's indices. From this finding, it is expected that a relevant probe to scrutinize crew-to-crew variability could be soundly determined in future works.http://www.sciencedirect.com/science/article/pii/S1738573324004418Human reliability analysisPerformance shaping factorOperating teamCrew-to-crew variabilityHofstede's cultural indicesNuclear power plants
spellingShingle Jinkyun Park
Wasin Vechgama
Seung Ki Shin
Identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants: An explanatory study
Nuclear Engineering and Technology
Human reliability analysis
Performance shaping factor
Operating team
Crew-to-crew variability
Hofstede's cultural indices
Nuclear power plants
title Identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants: An explanatory study
title_full Identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants: An explanatory study
title_fullStr Identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants: An explanatory study
title_full_unstemmed Identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants: An explanatory study
title_short Identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants: An explanatory study
title_sort identifying a probe to visualize the variability of operating teams for supporting the human reliability analysis of nuclear power plants an explanatory study
topic Human reliability analysis
Performance shaping factor
Operating team
Crew-to-crew variability
Hofstede's cultural indices
Nuclear power plants
url http://www.sciencedirect.com/science/article/pii/S1738573324004418
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