A Capability Model for Equipment-as-a-Service Adoption in Manufacturing Companies

Jonathan Rösler () and Thomas Friedli
Additional contact information
Jonathan Rösler: Institute of Technology Management, University of St Gallen
Thomas Friedli: Institute of Technology Management, University of St Gallen

A chapter in Smart Services Summit, 2021, pp 59-71 from Springer

Abstract: Abstract In the light of digital transformation, manufacturing companies are challenged to rethink their business models as technologies, such as the Internet of Things (IoT), that allow innovative product and service offerings. Equipment-as-a-service (EaaS) is a business model that combines both the product and the services needed to maintain and operate the equipment in one offering, whereas the revenue model is based on the actual value (e.g. usage-based, availability-based, outcome-based) provided. Despite high practical relevance, little is known about the required capabilities to introduce and operate such models, as this phenomenon has just started to be explored. Addressing this gap, our study aspires to provide a first understanding of which capabilities are required for introducing and operating the EaaS business model. Based on the insights gathered from interviews with 18 executives from over 14 manufacturing companies that have introduced such offerings, we present a capability model for assessing the maturity needed to introduce and offer EaaS. While bridging the gap between theory and practice, we leveraged state-of-the-art knowledge to help manufacturing companies better understand where they find themselves concerning the capabilities required to introduce and operate the EaaS model.

Keywords: Servitization; Business model; EaaS (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-72090-2_6

Ordering information: This item can be ordered from
http://www.springer.com/9783030720902

DOI: 10.1007/978-3-030-72090-2_6

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().