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Surface- and deep-level diversity in panel selection - Exploring diversity effects on response behaviour in foresight

机译：面板选择中的表面和深层差异-探索差异对预见中响应行为的影响

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In addition to foresight research endeavours that focus on the application of the Delphi survey technique, numerous research articles have dealt with the method itself: namely improving the Delphi technique's task and process characteristics. Particularly in Policy Delphi surveys and related variations that strive to explore opposing views, the diversity of the Delphi panel has been scrutinised. In the majority of earlier Policy Delphi studies, expertise accounted for the most predominant panel selection criterion. However, further surface- and deep-level diversity dimensions discussed in related social science research need to be incorporated for steering diversity in panel selection. In this article, the main effects of surface- and deep-level panel diversity on response behaviour are examined, focussing on extreme response style (ERS). Moreover, interaction phenomena of diversity variables are considered. By conducting a Policy Delphi in real-time format on the future of multimodal mobility, we demonstrate that value attributes significantly influence extreme response behaviour while expertise is especially important in combination with various other diversity variables. Furthermore, we identified a moderating effect of age on the relationship between environmental value characteristics and Delphi panellists' response behaviour.
机译：除了着眼于Delphi调查技术应用的前瞻性研究之外，许多研究文章还涉及该方法本身：即改进Delphi技术的任务和过程特性。特别是在Policy Delphi调查和旨在探索对立观点的相关变体中，对Delphi面板的多样性进行了审查。在大多数早期的Policy Delphi研究中，专业知识是最主要的小组选择标准。然而，在相关的社会科学研究中讨论的更多的表面和深层多样性维度需要纳入面板选择中的指导多样性。在本文中，研究了表面和深层面板多样性对响应行为的主要影响，重点是极端响应样式（ERS）。此外，考虑了多样性变量的相互作用现象。通过对多式联运的未来进行实时格式的Policy Delphi，我们证明了价值属性显着影响极端响应行为，而专业知识与各种其他多样性变量结合尤其重要。此外，我们确定了年龄对环境价值特征与德尔福小组成员的反应行为之间关系的调节作用。

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