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.
CITATION STYLE
Bock, A., & Frank, U. (2016). MEMO GoalML: A context-enriched modeling language to support reflective organizational goal planning and decision processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9974 LNCS, pp. 515–529). Springer Verlag. https://doi.org/10.1007/978-3-319-46397-1_40
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