Transforming manufacturers into service-driven learning organizations: practitioner-oriented review and change framework

Benjamin Biesinger et al.

Journal of Service Theory and Practice2026https://doi.org/10.1108/jstp-07-2025-0299article
AJG 1ABDC A
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0.50

Abstract

Purpose Despite the strategic advantages of servitization, many manufacturers struggle to transform into providers of integrated product-service-software solutions due to ingrained product-centric mindsets and fragmented change initiatives. This article addresses this challenge by developing a prescriptive learning organization framework to support change management in servitization. Design/methodology/approach This research employs a framework-based review to synthesize the scattered literature on service-driven learning, identifies central challenges of servitization change management and develops a prescriptive learning organization framework to address them. Findings The developed framework introduces a prescriptive perspective on managing servitization by conceptualizing the service-driven learning organization. It specifies seven learning orientations and ten facilitating factors that help overcome obstacles in transitioning from product-based manufacturing to integrated service provision. Originality/value This study contributes to the servitization literature by introducing the concept of the service-driven learning organization. It provides a dynamic, practitioner-oriented approach to understanding, building and advancing service-driven learning organizations as a novel lens for managing change in servitization.

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https://doi.org/https://doi.org/10.1108/jstp-07-2025-0299

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@article{benjamin2026,
  title        = {{Transforming manufacturers into service-driven learning organizations: practitioner-oriented review and change framework}},
  author       = {Benjamin Biesinger et al.},
  journal      = {Journal of Service Theory and Practice},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/jstp-07-2025-0299},
}

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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

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