The precautionary principle and unintended consequences

• Published in: Kybernetes 2019-02, Vol.48 (2), p.265-286
• Main Authors: Miller, Holmes E, Engemann, Kurt J
• Format: Article
• Language: English
• Subjects: Attitudes; Decision analysis; Decision making; Decision trees; Drones; Endangered & extinct species; Methodology; Natural gas utilities; New technology; Pesticides; Quantitative analysis
• ISSN: 0368-492X; 1758-7883
• DOI: 10.1108/K-01-2018-0050

Purpose All technologies have intended and unintended consequences, both favorable and unfavorable. Because the risks from implementing a technology may outweigh its rewards, the precautionary principle, illustrated by the maxim “better safe than sorry”, often is applied. Yet, the precautionary principle itself may have unintended consequences. This paper aims to discuss the precautionary principle and unintended consequences and present a model for analyzing the resulting implications. Design/methodology/approach A deficiency in applying the precautionary principle often is forgoing a quantitative analysis. In this paper, the authors apply decision analysis and decision analytic methodologies. Specifically, they present a decision model which can be used when analyzing the consequences of using the precautionary principle. The methodology incorporates decision-makers’ attitude in the determination of the preferred decision policy. The authors illustrate the methodology by determining a decision policy regarding the application of the precautionary principle in a situation with potential unintended consequences. Findings The findings indicate that a generic decision model structure for assessing the use of the precautionary principle, as illustrated in a decision tree, can be used when implementing a new technology. The results of the analysis indicate that a decision-maker’s attitude plays an important role in determining a preferred decision policy for this dynamic decision situation. Originality/value This research breaks new ground by proposing a decision analytic methodology where quantitative analysis can be applied to address problems where technologies are implemented with unintended consequences and where the precautionary principle is applied.