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International Conference on Design Science Research in Information System and Technology

DESRIST 2017: Designing the Digital Transformation pp 313–329Cite as

Domain-Specific Reference Modeling in the Telecommunications Industry

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10243))

Abstract

The telecommunications industry is currently going through a major transformation. In this context, the enhanced Telecom Operations Map (eTOM) is a domain-specific process reference model that is offered by the industry organization TM Forum. In practice, eTOM is well accepted and confirmed as de facto standard. It provides process definitions and process flows on different levels of detail. This article discusses the reference modeling of eTOM, i.e., the design, the resulting artifact, and its evaluation based on three project cases. The application of eTOM in three projects illustrates the design approach and concrete models on strategic and operational levels. The article follows the Design Science Research (DSR) paradigm. It contributes with concrete design artifacts to the transformational needs of the telecommunications industry and offers lessons-learned from a general DSR perspective.

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Author information

Authors and Affiliations

  1. Hochschule für Telekommunikation Leipzig, Leipzig, Germany

    Christian Czarnecki

  2. Detecon Consulting FZ-LLC, Abu Dhabi, UAE

    Christian Dietze

Authors
  1. Christian Czarnecki
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  2. Christian Dietze
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Correspondence to Christian Czarnecki .

Editor information

Editors and Affiliations

  1. Karlsruhe Institute of Technologie (KIT) , Karlsruhe, Germany

    Alexander Maedche

  2. University of Liechtenstein , Vaduz, Liechtenstein

    Jan vom Brocke

  3. University of South Florida , Tampa, Florida, USA

    Alan Hevner

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Czarnecki, C., Dietze, C. (2017). Domain-Specific Reference Modeling in the Telecommunications Industry. In: Maedche, A., vom Brocke, J., Hevner, A. (eds) Designing the Digital Transformation. DESRIST 2017. Lecture Notes in Computer Science(), vol 10243. Springer, Cham. https://doi.org/10.1007/978-3-319-59144-5_19

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  • DOI: https://doi.org/10.1007/978-3-319-59144-5_19

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