TY - JOUR
T1 - Application of structural equation modeling (SEM) and an adaptive neuro-fuzzy inference system (ANFIS) for assessment of safety culture
T2 - An integrated modeling approach
AU - Çakıt, Erman
AU - Karwowski, Waldemar
AU - Murata, Atsuo
AU - Olak, Andrzej Jan
N1 - Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - The primary purpose of this study was to apply structural equation modeling (SEM) integrated with an adaptive neuro-fuzzy inference system (ANFIS) approach to model the safety culture of the petrochemical industry of Japan. Workers from five companies located in the Chugoku region of Japan completed a paper-based survey distributed by email. SEM and ANFIS methods were integrated in order to identify and model the important factors of the safety culture. The results of SEM indicate that employee attitudes toward safety, coworker’s support, work pressure, and plant safety management systems were significant factors influencing violation behavior, personnel safety motivation, and personnel error behavior. Furthermore, the application of the ANFIS modeling approach showed that employees’ attitude was the most critical predictor of violation behavior and personnel error behavior, while coworkers support was the most critical predictor in modeling personnel safety motivation.
AB - The primary purpose of this study was to apply structural equation modeling (SEM) integrated with an adaptive neuro-fuzzy inference system (ANFIS) approach to model the safety culture of the petrochemical industry of Japan. Workers from five companies located in the Chugoku region of Japan completed a paper-based survey distributed by email. SEM and ANFIS methods were integrated in order to identify and model the important factors of the safety culture. The results of SEM indicate that employee attitudes toward safety, coworker’s support, work pressure, and plant safety management systems were significant factors influencing violation behavior, personnel safety motivation, and personnel error behavior. Furthermore, the application of the ANFIS modeling approach showed that employees’ attitude was the most critical predictor of violation behavior and personnel error behavior, while coworkers support was the most critical predictor in modeling personnel safety motivation.
KW - Adaptive neuro-fuzzy inference system (ANFIS)
KW - Hybrid approach
KW - Integrated approach
KW - Japan
KW - Modeling
KW - Petrochemical industry
KW - Safety culture
KW - Structural equation modeling (SEM)
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U2 - 10.3390/safety6010014
DO - 10.3390/safety6010014
M3 - Article
AN - SCOPUS:85081995697
VL - 6
JO - Safety
JF - Safety
SN - 2313-576X
IS - 1
M1 - 14
ER -