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Business Models for Commercializing Predictive Maintenance in the Context of Industrial Sustainability

In: Smart Services Summit

Author

Listed:
  • Jean Paul Potthoff

    (University of St. Gallen)

  • Christoph Tienken

    (University of St. Gallen)

  • Thomas Friedli

    (University of St. Gallen)

Abstract

As a digital technology, predictive maintenance (PdM) can contribute substantially to the necessary sustainable transformation of the manufacturing industry by maintaining assets more efficiently, increasing material and energy efficiency, and reducing associated waste. But as manufacturing companies struggle to implement sustainability, sustainable business models (SBM) for PdM might be a viable approach to systematically integrate sustainability. Hence the current PdM business models of manufacturing companies were analyzed by means of an exploratory case study. In a second step, elements of SBM that are already supported by today’s PdM business models, as well as respective gaps to be addressed in the future, were identified. This study concludes that many elements of SBMs are already supported today, but the main emphasis lies purely on the economic benefits, and ecological and social benefits are currently disregarded. To develop SBMs for PdM, ecological and social aspects need to be systematically evaluated and integrated.

Suggested Citation

  • Jean Paul Potthoff & Christoph Tienken & Thomas Friedli, 2023. "Business Models for Commercializing Predictive Maintenance in the Context of Industrial Sustainability," Progress in IS, in: Jürg Meierhofer & Shaun West & Thierry Buecheler (ed.), Smart Services Summit, pages 163-170, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-36698-7_17
    DOI: 10.1007/978-3-031-36698-7_17
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