Where have all the equations gone? A unified view on semi-quantitative problem structuring and modelling
Where have all the equations gone? A unified view on semi-quantitative problem structuring and modelling
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DOI：
10.1080/01605682.2022.2039565
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发表时间：
2022-03
影响因子：
3.6
通讯作者：
E. Settanni;R. Heijungs;J. Srai
中科院分区：
文献类型：
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作者：
E. Settanni;R. Heijungs;J. Srai
摘要几十年来，结构建模一直在帮助决策者承担探索和解释复杂情况的认知负担。三种著名的技术-在这里统称为半定量问题结构和建模（SPSM）-包括ISM（解释结构建模）; MICMAC（矩阵影响Croisés-Multiplication Quanquée à un Classement）;和DEMATEL（决策制定试验和评估实验室）。SPSM方法开创了图论原理和人机交互的联合应用。然而，今天的模板式研究方法盛行，专注于应用环境，而不是寻求推进或批判性地评估个别技术本身。本文通过比较和对比（针对每种技术）通常被视为理所当然的分析和程序方面，提出了SPSM的统一方法论观点，这是目前文献中缺失的。该论文的研究结果强调：（1）以前未被注意的重叠之间的技术，到目前为止一直被认为是相互排斥的，和不一致的那些往往是共同应用的; 2）潜在的问题时，SPSM的关键分析原则，无论是不加批判地应用或完全免除; 3）需要利用人机交互，这是早期SPSM研究中的一个突出方面，现在却令人惊讶地被忽视了。这些研究结果说明了SPSM应用程序的背景下，供应链风险管理的审查。
Abstract For several decades structural modelling has assisted decision makers with the cognitive burden of exploring and interpreting complex situations. Three well-known techniques – labelled collectively here as semi-quantitative problem structuring and modelling (SPSM) – include ISM (Interpretive Structural Modelling); MICMAC (Matrice d’Impacts Croisés-Multiplication Appliquée à un Classement); and DEMATEL (DEcision MAking Trial and Evaluation Laboratory). SPSM approaches pioneered the joint application of graph-theoretical principles and human-computer interaction. Yet today a template-style research approach prevails, focusing on the application context rather than seeking to advance or critically assess the individual techniques in their own right. This paper develops a unifying methodological view of SPSM, currently missing in the literature, by comparing and contrasting – for each technique – analytical and procedural aspects typically taken for granted. The paper’s findings highlight: (1) Previously unnoticed overlaps between techniques that up to now have been deemed mutually exclusive, and incongruences between those that are often applied jointly; 2) Potential issues that arise when key analytical principles of SPSM are either applied uncritically or dispensed with altogether; 3) The need to leverage human-computer interaction, a prominent aspect in early SPSM research that is now surprisingly neglected. These findings are illustrated by a review of SPSM applications in the context of supply chain risk management.