Paper Number
1532
Paper Type
Complete
Description
Diffusion of new technology can be approached as a good marriage between business model innovation and technological innovation. With maturing and converging technological innovations ranging from Internet-of-Things, Artificial Intelligence, Blockchain to digital platforms comes a fundamental shift in how companies can do business and what can be offered. They enable greenfield services (i.e. services not pre-existing), including servitization of existing products to compete. Whilst businesses are experimenting with services for emerging domains like industry 4.0, research embedding service logic in business model design for delivering and diffusing greenfield services is nascent. Using a Design Science approach, this paper contributes a method (SL-BMD) for designing service logic embedded business models that forefronts how to incorporate the customer’s perspective. We instantiate and evaluate SL-BMD by charting the experimental journey of a Predictive Maintenance offering for manufacturing settings, and highlight implementation considerations for SL-BMD and the experimental case chosen.
Recommended Citation
Mcloughlin, Shane J.; Puvvala, Abhinay; Connolly, Niall; Maccani, Giovanni; and Donnellan, Brian, "Embedding Service Logic into Business Model Design: The Case of Predictive Maintenance for Industry 4.0" (2022). ICIS 2022 Proceedings. 5.
https://aisel.aisnet.org/icis2022/is_implement/is_implement/5
Embedding Service Logic into Business Model Design: The Case of Predictive Maintenance for Industry 4.0
Diffusion of new technology can be approached as a good marriage between business model innovation and technological innovation. With maturing and converging technological innovations ranging from Internet-of-Things, Artificial Intelligence, Blockchain to digital platforms comes a fundamental shift in how companies can do business and what can be offered. They enable greenfield services (i.e. services not pre-existing), including servitization of existing products to compete. Whilst businesses are experimenting with services for emerging domains like industry 4.0, research embedding service logic in business model design for delivering and diffusing greenfield services is nascent. Using a Design Science approach, this paper contributes a method (SL-BMD) for designing service logic embedded business models that forefronts how to incorporate the customer’s perspective. We instantiate and evaluate SL-BMD by charting the experimental journey of a Predictive Maintenance offering for manufacturing settings, and highlight implementation considerations for SL-BMD and the experimental case chosen.
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Comments
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