Development of a New Model for Performance Measurement Based on the Tool for Action Plan Selection

Tešić, Zdravko; Tomić, Ivana; Cvijanovic, Sanja; Zizakov, Marina; Bojanić, Tamara

doi:10.1007/978-3-030-43616-2_52

Cited by 1 publication

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“…In research, the design and selection of countermeasure actions and action plans against a lack of performance are considered a part of normative decision theory [58], with its long research tradition [59,60]. While advanced methods and models are actively researched [61][62][63], for our specific purpose, a short discussion of the specific complexity "hot spots" provided by TAM and their contexts is sufficient to illustrate potential countermeasures. Often, we encounter these recurring observations in medium-sized companies with historically grown structures.…”

Section: Typical Symptoms Of Slipped Systemsmentioning

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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