Data-driven business model a methodology to develop smart services

Konrad Exner, R. Stark, Ji Yoon Kim
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引用次数: 16

Abstract

The appearance of Industrie 4.0 also known as cyber-physical systems and internet of things enables a continuous creation of data based on intelligent facilities. It is assumed that data will be one of the main resources in the future. Nevertheless, data need to be transformed into valuable information and further systematically integrated into a value proposition. In order to develop these smart services a data-driven business model has to be developed and evaluated. For this reason, a literature review has been conducted to identify existing business model approaches in context of Industrie 4.0 and Product-Service Systems. Based on the results of the review requirements for a new model and method have been defined and a data-driven business model including an extensive catalogue of key questions have been developed and applied with an industrial partner. The findings and results of the study are presented in this paper.
数据驱动的业务模型是一种开发智能服务的方法
工业4.0的出现,也被称为网络物理系统和物联网,使基于智能设施的数据持续创造成为可能。假设数据将是未来的主要资源之一。然而,数据需要转化为有价值的信息,并进一步系统地整合为价值主张。为了开发这些智能服务,必须开发和评估数据驱动的业务模型。出于这个原因,我们进行了一项文献综述,以确定工业4.0和产品服务系统背景下现有的商业模式方法。根据审查结果,定义了新模型和方法的需求,并与工业合作伙伴开发并应用了一个数据驱动的业务模型,其中包括广泛的关键问题目录。本文介绍了研究的结果和结果。
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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