Towards Principles For a Data-Driven Business Model Innovation Process – A Design Science Case Study

M. Fruhwirth
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Abstract

Transforming an existing business model into a data-driven one is challenging. Tools, methods and processes can support organisations in that innovation. This paper presents a three-year interventionist case study with an automotive company, where we investigated how an innovation process towards data-driven business models should be designed. We analysed data from interviews, notes from company meetings and workshops, as well as learnings from supporting seven different data initiatives within the organisation. As a result, we present requirements that decision-makers have regarding a process and principles that guide the process design. The principles are not specific to data-driven business model innovation. However, at the level of operationalising the process, activities and actionable tools need to be specific to the goal of a business model innovation: how data and analytics can be used for new services and business models.
数据驱动的商业模式创新流程原则--设计科学案例研究
将现有业务模式转变为数据驱动型业务模式具有挑战性。工具、方法和流程可以为企业的创新提供支持。本文介绍了对一家汽车公司进行的为期三年的干预性案例研究,在该研究中,我们探讨了应如何设计数据驱动型业务模式的创新流程。我们分析了访谈数据、公司会议和研讨会记录,以及从支持企业内部七项不同数据计划中获得的经验。因此,我们提出了决策者对流程的要求以及指导流程设计的原则。这些原则并非专门针对数据驱动的商业模式创新。但是,在流程的操作层面,活动和可操作工具需要针对商业模式创新的目标:如何将数据和分析用于新的服务和商业模式。
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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