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Publikationstyp: Beitrag in wissenschaftlicher Zeitschrift
Art der Begutachtung: Peer review (Publikation)
Titel: On the value of data in industrial services : how to optimize value creation by reconfiguration of operant resources
Autor/-in: Meierhofer, Jürg
Heitz, Christoph
et. al: No
DOI: 10.1177/23949643231199002
10.21256/zhaw-28976
Erschienen in: Journal of Creating Value
Band(Heft): 9
Heft: 2
Seite(n): 245
Seiten bis: 258
Erscheinungsdatum: 18-Okt-2023
Verlag / Hrsg. Institution: Sage
ISSN: 2394-9643
2454-213X
Sprache: Englisch
Schlagwörter: Value of data; Mutual value creation; Serviced design; Optimization; Smart service
Fachgebiet (DDC): 658.403: Entscheidungsfindung, Informationsmanagement
Zusammenfassung: The background to this article is a quantitative model for data-driven value creation that conceptually explains a holistic approach to finding optimal data-driven service configurations along the customer lifecycle by modeling both provider and customer value and identifying the optimum on the Pareto front. This model, which provides an artifact for service optimization in an iterative design process, is characterized by different inputs that model the costs and benefits of providers and customers depending on different intensities of data usage for services in the respective phases of the lifecycle. In this article, we analyse empirical industrial service configurations by applying the quantitative model and derive insights for optimizing value creation. The analysis shows that this optimization leads to solutions that are not simply achieved by maximizing the intensity of data usage of individual services, but by specifically optimizing the reconfiguration of operant resources along the lifecycle. This enables an overall optimization in a designoriented, iterative approach that differs significantly from standard models that target ascending levels of intensity and maturity of digitization.
URI: https://digitalcollection.zhaw.ch/handle/11475/28976
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): CC BY 4.0: Namensnennung 4.0 International
Departement: School of Engineering
Organisationseinheit: Institut für Datenanalyse und Prozessdesign (IDP)
Publiziert im Rahmen des ZHAW-Projekts: Gestaltung der Interaktionen von Mensch und Maschine in autonomen digitalen Service Ecosystemen (sozio-technischen Systemen)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Meierhofer, J., & Heitz, C. (2023). On the value of data in industrial services : how to optimize value creation by reconfiguration of operant resources. Journal of Creating Value, 9(2), 245–258. https://doi.org/10.1177/23949643231199002
Meierhofer, J. and Heitz, C. (2023) ‘On the value of data in industrial services : how to optimize value creation by reconfiguration of operant resources’, Journal of Creating Value, 9(2), pp. 245–258. Available at: https://doi.org/10.1177/23949643231199002.
J. Meierhofer and C. Heitz, “On the value of data in industrial services : how to optimize value creation by reconfiguration of operant resources,” Journal of Creating Value, vol. 9, no. 2, pp. 245–258, Oct. 2023, doi: 10.1177/23949643231199002.
MEIERHOFER, Jürg und Christoph HEITZ, 2023. On the value of data in industrial services : how to optimize value creation by reconfiguration of operant resources. Journal of Creating Value. 18 Oktober 2023. Bd. 9, Nr. 2, S. 245–258. DOI 10.1177/23949643231199002
Meierhofer, Jürg, and Christoph Heitz. 2023. “On the Value of Data in Industrial Services : How to Optimize Value Creation by Reconfiguration of Operant Resources.” Journal of Creating Value 9 (2): 245–58. https://doi.org/10.1177/23949643231199002.
Meierhofer, Jürg, and Christoph Heitz. “On the Value of Data in Industrial Services : How to Optimize Value Creation by Reconfiguration of Operant Resources.” Journal of Creating Value, vol. 9, no. 2, Oct. 2023, pp. 245–58, https://doi.org/10.1177/23949643231199002.


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