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

被引：8
|
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
收藏
页码：245 / 250
页数：6
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