Toward Modeling Strategic Plans: Requirements &amp; Language Design Considerations

Bergmann, Arne; Strecker, Stefan

doi:10.1109/cbi.2018.10042

Cited by 5 publications

(1 citation statement)

References 26 publications

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“…The modeling of organizational dynamics has a long research history [10,11], and is still a very active field of study both from a methodological point of view [12][13][14] and regarding its applications in specific industries [15][16][17]. In the same vein, modeling methods for the structure of organizations have seen both historical [8,18,19] and active research [20][21][22]. In addition to methods specifically designed to capture organizational structures [9,22,23], conceptual modeling techniques first developed for simulation modeling, such as eventactivity chains and other methods [24], can help to gain insights into the structure of an organization.…”

Section: Introductionmentioning

confidence: 99%

Organizational Complexity as a Contributing Factor to Underperformance

Beyer

Ullrich

2022

Businesses

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A high organizational complexity above the cognitive limits of employees and management can contribute to a business performing sub-standardly in comparison to its competitors. As businesses can grow over time into a state of high complexity, an active approach to complexity management has to be taken. This paper presents the NES classification method, aimed at facilitating the modeling and assessment of organizational complexity. Here, any system is classified as belonging to one of three classes: class N natural, class E engineered, or class S slipped systems. Operationalizing NES by applying the Tree Attribute Matrix modeling method, this paper describes exemplary observations made as part of consulting projects that demonstrated typical underperformance situations resulting from their organizations “slipping” into structures of high complexity, and includes management measures to reduce complexity and thereby improve performance.

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