Carl, K. ValerieBrîncoveanu, ConstantinHinz, OliverKlein, MaikeKrupka, DanielWinter, CorneliaGergeleit, MartinMartin, Ludger2024-10-212024-10-212024978-3-88579-746-32944-7682https://dl.gi.de/handle/20.500.12116/45133Sustainable practices change businesses in various domains, leveraging digitalization and the according spread of sensor technology and connectivity. In this context, data-driven business models emerge that foster sustainability. Despite the potential benefits of such emerging business models, adoption has been limited. To foster their spread, every affected stakeholder group must benefit. Hence, this study investigates potential incentives to adopt data-driven business models, particularly pay-per-stress, considering all affected stakeholder groups. We examine pay-per-stress in the context of the manufacturing industry, accordingly considering manufacturers, lessors, and lessees. Through semi-structured interviews with 19 experts stemming from those three stakeholder groups, we identify a potential incentive system for enabling more wide-spread adoption. This research contributes to understanding the incentivization of data-driven business models that foster more sustainability by encouraging a use of leased products that enables longer lifespans.enPay-per-stressData-driven Business ModelsBusiness Models for SustainabilityServitizationManufacturingStakeholder IncentivesHow to promote the spread of data-driven business models by involving all relevant stakeholders? The case of the pay-per-stress modelText/Conference Paper10.18420/inf2024_1571617-54682944-7682