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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使用FRAM对复杂的社会技术系统进行建模：文献综述

这是一篇采用功能共振分析方法（FRAM）的研究综述。FRAM是一种相对较新的系统方法，用于建模和分析复杂的社会技术系统。这篇综述旨在解决以下研究问题：（a）为什么使用FRAM？（b）FRAM应用于哪些领域？（c）在实践中有哪些适当的数据收集方法？（d）FRAM的缺点是什么？对2010年至2020年期间发表的52项与FRAM相关的研究的回顾表明，基于FRAM的模型可以用作改善复杂社会技术系统中安全管理，事故/事故征候调查，危害识别/风险管理以及复杂性管理的基础。结果还表明，医疗保健是采用FRAM的最常见领域（占研究研究的31％）。探索数据收集方法的结果表明，在52％的分析研究中采用了混合方法（访谈，焦点小组，观察），事故调查报告是航空相关研究中最受欢迎的方法。对FRAM缺陷的调查表明，应通过使用补充方法对其进行升级，以增强其分析和计算能力，以帮助复杂的社会技术系统中的风险分析人员和安全经理。