Plausibility indications in future scenarios

Q3 Business, Management and Accounting
Arnim Wiek, L. Keeler, V. Schweizer, D. Lang
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引用次数: 42

Abstract

Quality criteria for generating future-oriented knowledge and future scenarios are different from those developed for knowledge about past and current events. Such quality criteria can be defined relative to the intended function of the knowledge. Plausibility has emerged as a central quality criterion of scenarios that allows exploring the future with credibility and saliency. But what exactly is plausibility vis-a-vis probability, consistency, and desirability? And how can plausibility be evaluated and constructed in scenarios? Sufficient plausibility, in this article, refers to scenarios that hold enough evidence to be considered ‘occurrable’. This might have been the underlying idea of scenarios all along without being explicitly elaborated in a pragmatic concept or methodology. Here, we operationalise plausibility in scenarios through a set of plausibility indications and illustrate the proposal with scenarios constructed for Phoenix, Arizona. The article operationalises the concept of plausibility in scenarios to support scholars and practitioners alike.
未来情景的可行性指标
生成面向未来的知识和未来情景的质量标准不同于为过去和当前事件的知识开发的质量标准。这样的质量标准可以根据知识的预期功能来定义。合理性已经成为情景的核心质量标准,它允许以可信度和显著性探索未来。但是,相对于概率、一致性和可取性,可信性究竟是什么?如何在场景中评估和构建合理性?在这篇文章中,充分的合理性指的是拥有足够证据的情景被认为是“可发生的”。这可能一直是场景的潜在想法,而没有在实用主义概念或方法中明确阐述。在这里,我们通过一组可行性指标来操作场景中的可行性,并通过为亚利桑那州凤凰城构建的场景来说明该提案。本文将可行性的概念应用于场景中,以支持学者和实践者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Foresight and Innovation Policy
International Journal of Foresight and Innovation Policy Business, Management and Accounting-Management of Technology and Innovation
CiteScore
2.10
自引率
0.00%
发文量
2
期刊介绍: The IJFIP has been established as a peer reviewed, international authoritative reference in the field. It publishes high calibre academic articles dealing with knowledge creation, diffusion and utilisation in innovation policy. The journal thus covers all types of Strategic Intelligence (SI). SI is defined as the set of actions that search, process, diffuse and protect information in order to make it available to the right person at the right time in order to make the right decision. Examples of SI in the domain of innovation include Foresight, Forecasting, Delphi studies, Technology Assessment, Benchmarking, R&D evaluation and Technology Roadmapping.
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