Understanding the everything-as-a-service model in manufacturing: a hierarchical framework

Laura Scalvini et al.

Production & Manufacturing Research2026https://doi.org/10.1080/21693277.2026.2628439article
AJG 1
Weight
0.50

What the paper says

Recent studies indicate that manufacturers are keen on adopting the Everything-as-a-service (XaaS) model to achieve competitive advantage and generate recurrent revenues. Although the growing interest, the existing literature on this topic seems fragmented and lacks a clear identification of the factors that define the XaaS business model. Moreover, the implementation of this model in manufacturing remains limited due to companies′ difficulty in comprehending the key aspects of this transformation. To address these gaps, the paper presents a two-level hierarchical framework that describes the XaaS model in manufacturing companies, identifying its key components through a literature analysis. A case study is then presented to demonstrate the framework′s applicability and evaluate its comprehensiveness from a managerial perspective. This paper enhances XaaS model understanding in manufacturing by defining its key aspects and offering guidance for manufacturers who want to adopt the model in a structured manner, ensuring that no relevant aspect is overlooked.

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https://doi.org/https://doi.org/10.1080/21693277.2026.2628439

Or copy a formatted citation

@article{laura2026,
  title        = {{Understanding the everything-as-a-service model in manufacturing: a hierarchical framework}},
  author       = {Laura Scalvini et al.},
  journal      = {Production & Manufacturing Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/21693277.2026.2628439},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.