Abstract
As service-orientation gathers traction in enterprise engineering, more and more business processes and capabilities alike are wrapped up and viewed as services in today’s digital enterprises. Digital servitization is neither a rebranding nor a syntax sugar in enterprise engineering. It opens the door to innovative business models, novel system architecture, to name just a few. Central to service provisioning is the notion of commitment that captures contractual agreements between the provider and the consumer of the service in question, describing not only computer-interpretable factors (e.g., reliability, payment), but also business rules (e.g., service penalty) of the commitment. Widely known as the service level agreement, this building block of service-oriented enterprise engineering is pushed towards virtual when it comes to digital servitization. In this article, we propose a descriptive framework for digital enterprise services together with devised techniques for the alignment and reinforcement of the service level agreement. The relevance and applicability of the multi-perspective approach to service engineering are among our findings, which are illustrated using a few examples and a real-life case-study.
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28 September 2023
A Correction to this paper has been published: https://doi.org/10.1007/s42979-023-02168-3
Notes
Theoretically, we could have up 27 points in this space. The nine points listed here make the most significant meaning when combining the three modeling perspectives.
ArchiMate modeling language http://www.archimate.nl/.
Full description of these SLAs in Vietnamese can be found at URLs given in footnotes \(\dagger\), \(\ddagger\) and \(IV\) of Table 6.
Note that if non-cost SLA factors two services are the same, the one with lower cost will be preferred.
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Work presented in this article is funded by Ho Chi Minh City Department of Science and Technology, under grant number 12/2018/HÐ-QKHCN
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Lê, LS., Nguyen, TV. Digitizing Service Level Agreements in Service-Oriented Enterprise Architecture. SN COMPUT. SCI. 1, 257 (2020). https://doi.org/10.1007/s42979-020-00256-2
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DOI: https://doi.org/10.1007/s42979-020-00256-2