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Digital Product Innovation in Manufacturing Industries - Towards a Taxonomy for Feedback-driven Product Development Scenarios

机译:制造业的数字产品创新 - 面向反馈驱动的产品开发方案的分类

摘要

In the light of pervasive digitalization, traditional physical products get augmented with digital components that create the potential of making the whole product lifecycle visible for product developers. As numerous opportunities sketch out how feedback such as sensor data might be leveraged for future products, a comprehensive model to describe, particularly a classification model to organize and structure these opportunities seems analytically useful. Hence, this paper pursues a scenario-based approach and proposes a taxonomy for feedback-driven product development scenarios in manufacturing industries. Grounded on (1) empirical data from case studies and focus groups and (2) a systematic literature review, we follow an established taxonomy development method employing the general systems theory as meta-characteristic. With the limitation of a (1) qualitative, interpretive empirical research design and a (2) representative literature review, we contribute to the body of knowledge by shedding light on feedback-driven product development from a classification perspective which may act as structuring and creativity fostering tool.
机译:考虑到普遍的数字化,传统的物理产品增加了数字组件,这些组件具有使整个产品生命周期对产品开发人员可见的潜力。随着大量机会勾勒出如何将诸如传感器数据之类的反馈信息用于未来产品,描述一个全面的模型,尤其是组织和构造这些机会的分类模型在分析上似乎很有用。因此,本文采用一种基于场景的方法,并提出了一种用于制造业中反馈驱动型产品开发场景的分类法。基于(1)来自案例研究和焦点小组的经验数据以及(2)系统的文献综述,我们遵循采用通用系统理论作为元特征的已建立的分类学开发方法。由于(1)定性,解释性的经验研究设计和(2)代表性文献综述的局限性,我们通过从分类角度阐明反馈驱动的产品开发(可能起到结构和创造力的作用),为知识体系做出了贡献培育工具。

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