Towards a Pay-Per-X Maturity Model for Equipment Manufacturing Companies
Тип публикации: Journal Article
Дата публикации: 2022-01-10
General Engineering
Краткое описание
This Research-in-Progress paper presents a preliminary design of a maturity model for assessing the internal readiness of business-to-business equipment manufacturing companies implementing new, service-based pay-per-x (PPX) business models. By using existing maturity model design guidelines, action design research methodology as well as PPX-related literature and analogous maturity models in fields such as servitization, digitization, Industry 4.0, data-driven manufacturing and product-service systems, this paper explains how the creation of a maturity model could enable a systematic approach to implementing the new PPX business models. The paper will also provide the basis for the PPX maturity model development and validation in the future, while aiding the equipment manufacturing companies in assessing their current as-is situation in the most critical areas of PPX implementation as well as formulating a roadmap towards the implementation.
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ГОСТ
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Schroderus J. et al. Towards a Pay-Per-X Maturity Model for Equipment Manufacturing Companies // Procedia Computer Science. 2022. Vol. 196. pp. 226-234.
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Schroderus J., Lasrado L. A., Menon K., Kärkkäinen H. Towards a Pay-Per-X Maturity Model for Equipment Manufacturing Companies // Procedia Computer Science. 2022. Vol. 196. pp. 226-234.
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TY - JOUR
DO - 10.1016/j.procs.2021.12.009
UR - https://doi.org/10.1016/j.procs.2021.12.009
TI - Towards a Pay-Per-X Maturity Model for Equipment Manufacturing Companies
T2 - Procedia Computer Science
AU - Schroderus, Joonas
AU - Lasrado, Lester Allan
AU - Menon, Karan
AU - Kärkkäinen, Hannu
PY - 2022
DA - 2022/01/10
PB - Elsevier
SP - 226-234
VL - 196
SN - 1877-0509
ER -
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BibTex (до 50 авторов)
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@article{2022_Schroderus,
author = {Joonas Schroderus and Lester Allan Lasrado and Karan Menon and Hannu Kärkkäinen},
title = {Towards a Pay-Per-X Maturity Model for Equipment Manufacturing Companies},
journal = {Procedia Computer Science},
year = {2022},
volume = {196},
publisher = {Elsevier},
month = {jan},
url = {https://doi.org/10.1016/j.procs.2021.12.009},
pages = {226--234},
doi = {10.1016/j.procs.2021.12.009}
}
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