Decision orders: a decision taxonomy

Purpose – The proper identification of a decision problem is paramount to finding a course of action or solution. This paper attempts to capture the general laws or principles that define decision problems. These principles are then used to establish a decision classification system called the decision‐order taxonomy.Design/methodology/approach – The decision‐order taxonomy is developed by performing a content analysis on the seminal literature in the natural, social, and applied sciences. By identifying the semantic descriptors used to partition various domains, an implicit taxonomy for proper identification of decision problems is hypothesized.Findings – The multidimensional taxonomic classification system and defined nomenclature, together with the identification process, comprise the complete decision‐order taxonomy developed in this paper. While applying the decision‐order taxonomy to an actual decision problem, insights are exposed which will guide the decision maker toward appropriate solution meth...