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MEMO GoalML: A Context-Enriched Modeling Language to Support Reflective Organizational Goal Planning and Decision Processes

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Conceptual Modeling (ER 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9974))

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Abstract

Conceptual models of goal systems promise to provide an apt basis for planning, analyzing, monitoring, and (re-)considering goals as part of management processes in the organization. But although a great deal of conceptual goal modeling languages are available, these take only limited account of the organizational dimension of goals, including authorization rights, responsibilities, resources, and, in particular, related decision processes. This paper presents a goal modeling language which is integrated with a method for multi-perspective enterprise modeling, such that context-enriched models of goal systems can be constructed. Aside from organizational aspects, particular emphasis is placed on conceptualizations that clearly distinguish different (meta) levels of abstraction.

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Acknowledgments

We wish to acknowledge the major contribution of Christian Köhling, who has developed the original version of the GoalML.

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Authors and Affiliations

  1. Research Group Information Systems and Enterprise Modeling, University of Duisburg-Essen, Essen, Germany

    Alexander Bock & Ulrich Frank

Authors
  1. Alexander Bock
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  2. Ulrich Frank
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Corresponding author

Correspondence to Alexander Bock .

Editor information

Editors and Affiliations

  1. CEDRIC-CNAM & ESSEC Business School, Cergy-Pontoise, France

    Isabelle Comyn-Wattiau

  2. Kyoto University , Kyoto, Japan

    Katsumi Tanaka

  3. Drexel University , Philadelphia, Pennsylvania, USA

    Il-Yeol Song

  4. Nagoya University , Nagoya, Japan

    Shuichiro Yamamoto

  5. Tokyo Institute of Technology , Tokyo, Japan

    Motoshi Saeki

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Bock, A., Frank, U. (2016). MEMO GoalML: A Context-Enriched Modeling Language to Support Reflective Organizational Goal Planning and Decision Processes. In: Comyn-Wattiau, I., Tanaka, K., Song, IY., Yamamoto, S., Saeki, M. (eds) Conceptual Modeling. ER 2016. Lecture Notes in Computer Science(), vol 9974. Springer, Cham. https://doi.org/10.1007/978-3-319-46397-1_40

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  • DOI: https://doi.org/10.1007/978-3-319-46397-1_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46396-4

  • Online ISBN: 978-3-319-46397-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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