Assessing Organizational Complexity Using Tree-Attribute-Matrix Models

Nickel, Kilian; Hasenbeck, Felix; Beyer, Uwe; Ullrich, Oliver; Zimmermann, Alexander

doi:10.1109/cbi.2019.00021

Cited by 2 publications

(5 citation statements)

References 23 publications

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“…To reach that aim we propose to apply the Tree Attribute Matrix (TAM) modeling method as a tool to assess and measure a system's structure S(V, G) with regard to its organizational complexity, and thereby to identify class S systems. TAM, recapped below based on [35], represents the examined organizational structure as a collection of interconnected tree and matrix structures annotated with attributes.…”

Section: Classifying Slipped Systemsmentioning

confidence: 99%

“…The TAM modeling method is based on the observation that the organizational structures of well-formed human-centric systems, i.e., systems designed by humans and for human usage, typically exhibit similar patterns that can be visualized by arranging the system into components (here called aspects) that can be seen as trees, attributes and matrices [34,35,57]. These components can be formally described as three equivalence relations T, A, and M.…”

Section: Metricsmentioning

confidence: 99%

“…Based on such research and modeling methods for organizational structure, over the years, a number of approaches for assessing organizational complexity have been proposed for specific areas such as manufacturing [23,31], supplychain management [32], and software architecture [33]. A more general method is Tree Attribute Matrix (TAM) modeling [34,35], one building block of the NES classification system discussed below, where organizational structures are decomposed in tree-and matrix-like aspects-which then allows their degree of organizational complexity to be assessed and measured.…”

Section: Introductionmentioning

confidence: 99%

“…This paper continues with a short introduction to the NES classification method, putting a specific focus on the structure, dynamics, value creation, and inertia of natural, engineered, and slipped systems (Section 2). It then goes on to discuss a method to operationalize the NES classification method to identify organizations with a high potential for underperformance, proposing to use the TAM modeling method [35] to discern such slipped systems from their natural and engineered counterparts (Section 3). To illustrate the process, we then discuss a number of typical symptoms of slipped systems encountered during consulting projects, including potential methods that might be employed to mitigate them (Section 4).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Classifying Slipped Systemsmentioning

confidence: 99%

Section: Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Organizational Complexity as a Contributing Factor to Underperformance

Beyer

Ullrich

2022

Businesses

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“…These links are graphically represented as a matrix. For a more detailed description of TAM and its application in the complexity assessment in business and other organizations see [4].…”

Section: Tree-attribute-matrix Modelsmentioning

confidence: 99%

Modelling Urban Transportation Using Tree-Attribute-Matrix Models

Nickel¹,

Lückerath²,

Ullrich³

2020

Proceedings ASIM SST 2020

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This paper applies the Tree-Attribute-Matrix (TAM) modelling method to a simplified model of an urban light-rail transportation system. The resulting model is a conceptual model that is beneficial for understanding, management and coordination of the system on a high level, in particular when different (interdisciplinary) stakeholders are involved. The paper briefly explains basic terms and terminology of railway systems as well as of the TAM modelling approach. It displays a simplified rail network and how it is translated into a TAM model. The resulting model contains the key physical and logical components of the system. In particular, the matrix depiction between line routes and the platforms they connect is found suitable for gaining oversight and identifying points of high complexity. In this case, there are five platforms that are serviced more by line routes than the other platforms and can be considered bottlenecks for service operation. The TAM model is considered less well suited when it comes to a complete description of realistic timetables and rail network plans, which require more detail (such as turnouts and track sections) as well as more quantity of data in the model (e. g. the number of trips made per day).The conceptual TAM model discussed could be generalized to include other urban subsystems and their interactions, such as critical infrastructure systems. In that case, such a model would provide a common ground regarding understanding and terminology between different stakeholders, highlight points of strong interactions and allow to discuss the impacts of failures within the system on a high level.

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Assessing Organizational Complexity Using Tree-Attribute-Matrix Models

Cited by 2 publications

References 23 publications

Organizational Complexity as a Contributing Factor to Underperformance

Organizational Complexity as a Contributing Factor to Underperformance

Modelling Urban Transportation Using Tree-Attribute-Matrix Models

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