A Data-Driven Business Model Framework for Value Capture in Industry 4.0

被引：7

作者：

Schaefer, Dirk ^{[1
]}

Walker, Joel ^{[2
]}

Flynn, Joseph ^{[2
]}

机构：

[1] Univ Liverpool, Sch Engn, Liverpool, Merseyside, England

[2] Univ Bath, Dept Mech Engn, Bath, Avon, England

来源：

ADVANCES IN MANUFACTURING TECHNOLOGY XXXI | 2017年 / 6卷

关键词：

Industry; 4.0; Digital Manufacturing; Data-Driven Business Models;

D O I：

10.3233/978-1-61499-792-4-245

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Manufacturing is undergoing a period of intense change as a result of advanced smart technologies, such as real-time sensors and the Industrial Internet of Things (IIoT). This has paved the way for a new era of digitized manufacturing known as Industry 4.0. It is anticipated that Industry 4.0 will be disruptive enough to present both new opportunities and threats to firms within a new competitive landscape. Manufacturers will be forced to adopt new business models to effectively capture value from the emerging smart technologies. A literature review revealed that few studies have addressed business models for Industry 4.0. Hence, this research addresses: What fundamental principles should companies in the manufacturing industry consider when adopting a data-driven business model? An analysis of four case studies on data-driven business models revealed significant common attributes. Through a SWOT analysis, twelve model principles for implementing a data-driven value capture framework could be identified.

引用

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页码：245 / 250

页数：6

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