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Applying the Repertory Grid Method for Technology Forecasting: Civil Unmanned Aviation Systems for Germany

机译:在技​​术预测中应用库格式方法:德国民用无人机系统

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Multistage expert surveys like the Delphi method are proven concepts for technology forecasting that enable the prediction of content-related and temporal development in fields of innovation (e.g., [1, 2]). Advantages of these qualitative multistage methods are a simple and easy to understand concept while still delivering valid results [3]. Nevertheless, the literature also points out certain disadvantages especially in large-scale technology forecasts in particularly abstract fields of innovation [4]. The proposed approach highlights the usefulness of the repertory grid method as an alternative for technology forecasting and as a first step for preference measurement. The basic approach from Baier and Kohler [5] is modified in-so-far that an online survey reduces the cognitive burden for the experts and simplifies the data collection process. Advantages over alternative approaches through its simple structure and through combining qualitative and quantitative methods are shown and an adaption on an actual field of innovation – civil drones in Germany – is done. The measurement of a common terminology for all experts minimizes misunderstandings during the interview and the achievement of an inter-individual comparable level of abstraction is forced by the laddering technique [6] during the interview.
机译:诸如Delphi方法之类的多阶段专家调查已被证明是技术预测的概念,可以预测创新领域中与内容相关的内容和时间发展(例如[1、2])。这些定性多阶段方法的优点是一个简单易懂的概念,同时仍然可以提供有效的结果[3]。然而,文献也指出了某些缺点,特别是在抽象技术创新领域的大规模技术预测中[4]。所提出的方法强调了储备格网方法作为技术预测的替代方法以及偏好测量的第一步的有用性。 Baier和Kohler [5]的基本方法在一定程度上进行了修改,以使在线调查可以减轻专家的认知负担,并简化数据收集过程。通过简单的结构以及结合定性和定量方法,显示了相对于替代方法的优势,并适应了实际的创新领域(德国的民用无人机)。对所有专家使用通用术语的度量可以最大程度地减少面试中的误解,并且在面试中通过阶梯技术[6]可以实现个体间可比的抽象水平。

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