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Modeling complex socio‐technical systems using the FRAM: A literature review
Author(s) -
Salehi Vahid,
Veitch Brian,
Smith Douglas
Publication year - 2021
Publication title -
human factors and ergonomics in manufacturing and service industries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.408
H-Index - 39
eISSN - 1520-6564
pISSN - 1090-8471
DOI - 10.1002/hfm.20874
Subject(s) - domain (mathematical analysis) , risk analysis (engineering) , computer science , accident investigation , aviation , hazard analysis , sociotechnical system , data science , systems engineering , management science , engineering , knowledge management , forensic engineering , reliability engineering , business , mathematical analysis , mathematics , aerospace engineering
Abstract This is a review paper of studies that have employed the functional resonance analysis method (FRAM). FRAM is a relatively new systemic method for modeling and analyzing complex socio‐technical systems. This review aims to address the following research questions: (a) Why is FRAM used? (b) To what domains has FRAM been applied? (c) What are the appropriate data collection approaches in practice? (d) What are the deficiencies of FRAM? A review of 52 FRAM‐related studies published between 2010 and 2020 revealed that FRAM‐based models can be used as a basis for improving safety management, accident/incident investigation, hazard identification/risk management, and complexity management in complex socio‐technical systems. The outcomes also showed that healthcare was the most common domain that employed FRAM (31% of the investigated studies). The results of exploring data collection methods indicated a mixed method (interview, focus group, observation) was employed in 52% of the analyzed studies, and the accident investigation report was the most popular approach in aviation‐related studies. An investigation of the deficiencies of the FRAM showed that it should be upgraded by exploiting supplementary methods to enhance its analytical and computational capacity to help risk analysts and safety managers in complex socio‐technical systems.

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