Jean Paul Potthoff

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Generative Künstliche Intelligenz im industriellen Service
(2024-10)
Jean Paul Potthoff
;
Lukas Budde
;
Thomas Friedli
This article examines the implementation of generative AI (GenAI) in industrial services. Based on a study, it shows the maturity and objectives with which GenAI is pursued and provides an overview of the use cases that are in focus in the context of industrial services.
Type:journal article
Journal:Controlling: Zeitschrift für erfolgsorientierte Unternehmenssteuerung
Volume:36
Issue:5
DOI:10.15358/0935-0381-2024-5-4
URI:https://www.alexandria.unisg.ch/handle/20.500.14171/121346
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Business Models for Commercializing Predictive Maintenance in the Context of Industrial Sustainability
(Springer Nature Switzerland, 2023)
Jean Paul Potthoff
;
Christoph Tienken
;
Thomas Friedli
;
West, Shawn
;
Meierhofer, Jürg
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.
Type:conference paper
Journal:Progress in IS
URL:https://link.springer.com/chapter/10.1007/978-3-031-36698-7_17#citeas
DOI:10.1007/978-3-031-36698-7_17
URI:https://www.alexandria.unisg.ch/handle/20.500.14171/121345
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Business Models for Commercializing Predictive Maintenance in the Context of Industrial Sustainability
(Springer Nature Switzerland AG, 2023-08-30)
Jean Paul Potthoff
;
Christoph Tienken
;
Thomas Friedli
;
Jürg Meierhofer
;
Shaun West
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.
Type:conference paper
Journal:Progress in IS; Journal:Smart Services Summit
URL:https://link.springer.com/chapter/10.1007/978-3-031-36698-7_17
DOI:10.1007/978-3-031-36698-7_17
URI:https://www.alexandria.unisg.ch/handle/20.500.14171/118089

Jean Paul Potthoff

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