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Measuring the Impact of Sustainability of Product-Service-Systems

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Smart, Sustainable Manufacturing in an Ever-Changing World

Part of the book series: Lecture Notes in Production Engineering ((LNPE))

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Abstract

Sustainability will be one of the most important influences on corporate activities. As a result, and due to the technological innovations product-service-systems can be seen as a sustainable opportunity. They enable the effective and efficient use of products and thus the saving of resources as well as their decoupling of value generation. Regarding this, the research question which should be answered in this essay is “How can an impact model be designed that shows the sustainable impact of product-service-systems?” For this purpose, the most important sustainability indicators are identified in the automotive sector, and a business model approach is developed that brings together sustainability aspects and product-service-system requirements. Subsequently, a first attempt is made to transfer sustainability indicators to the business model approach via an impact model.

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Authors and Affiliations

  1. Düsseldorf University of Applied Sciences, Düsseldorf, Germany

    D. Kretschmar, J. Niemann & C. Deckert

  2. Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    A. Pisla

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  1. D. Kretschmar
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  2. J. Niemann
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  3. C. Deckert
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  4. A. Pisla
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Correspondence to J. Niemann .

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Editors and Affiliations

  1. Department of Industrial Engineering, Stellenbosch University, Stellenbosch, South Africa

    Konrad von Leipzig

  2. Department of Industrial Engineering, Stellenbosch University, Stellenbosch, South Africa

    Natasha Sacks

  3. Department of Industrial Engineering., Stellenbosch University, Stellenbosch, South Africa

    Michelle Mc Clelland

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Kretschmar, D., Niemann, J., Deckert, C., Pisla, A. (2023). Measuring the Impact of Sustainability of Product-Service-Systems. In: von Leipzig, K., Sacks, N., Mc Clelland, M. (eds) Smart, Sustainable Manufacturing in an Ever-Changing World. Lecture Notes in Production Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-15602-1_32

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  • DOI: https://doi.org/10.1007/978-3-031-15602-1_32

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