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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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Correspondence to Alexander Bock .

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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

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