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Springer Handbook of Additive Manufacturing

Accepted version
Peer-reviewed

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Authors

Rama Murthy, Sudhir 
Huang, Jiashun 
Velu, Chander 

Abstract

Additive manufacturing has grown from an initial prototyping application into a core production technology. The increasing applicability of additive manufacturing in sectors such as aviation and health care has created an attractive market for emergent and established firms alike. One can also identify a plurality of business models among these equipment suppliers. A business model articulates the customer value proposition, how value is created, the means of value capture and the partners in the value network – the four Vs. The business models of these equipment supplier firms include equipment sales, equipment as a service, the sale of supplies and platform-based integrated solutions, among others. The emergent firms presented here are Stratasys and 3D Systems; similarly, the established firms considered here are Hewlett-Packard and General Electric. The chapter employs the four Vs framework to analyse how their business models have evolved. It provides an overview of additive manufacturing businesses, compares the business models in the four firms, discusses the different business models in four other nascent firms, and discusses implications for managers.

Description

Title

Springer Handbook of Additive Manufacturing

Keywords

Additive Manufacturing

Is Part Of

Springer Handbook of Additive Manufacturing

Book type

Reference work

Publisher

Springer International Publishing

ISBN

9783031207518
Sponsorship
Engineering and Physical Sciences Research Council (EP/K039598/1)
Engineering and Physical Sciences Research Council (EP/R024367/1)
Department for Business, Energy and Industrial Strategy (EP/V062123/1)
EPSRC (via University of Nottingham) (EP/T024429/1)
ESRC (via University of Manchester) (R125208)
Chander Velu would like to acknowledge funding from the Engineering and Physical Sciences Research Council (EP/R024367/1, EP/K039598/1, EP/T024429/1 and EP/V062123/1) and the Economic and Social Research Council – The Productivity Institute (ES/V002740/1). Jiashun Huang would like to thank funding from Science & Technology Innovation Strategy and Soft Science Research Fund of Anhui (202006f01050001).