Work sharing as a metric and productivity indicator for administrative workflows

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作者

Charles Roberto Telles¹

1. Secretary of State for Education of Paraná

会议/活动

Entropy: The Scientific Tool of the 21st Century, May 2021 (虚拟会议)

海报摘要

Defining administrative workflow events as a nonlinear dynamics that assume a random ordered or disordered growth rate of information processing, a method has been proposed for identifying productivity at large-scale administrative work systems. Defining those systems as a hybrid structure (continuous or discrete variables), the iterated and attracting fixedpoint events that constitute the administrative work activities can present asymptotic convergence for all possible metric space solutions. The system modelling from the Lyapunov exponential stability point of view allows the projection of system performance to be oriented, based on collective behaviour phenomena, that is, in other words, the relationship between the number of agents (human resources) and the number of administrative works (workloads) within an administrative workflow hybrid environment. This method can roughly and steadily reveal the definition of productivity and asymptotic stability as a state of endosectorial (among internal sector agents) and exosectorial (among external sector agents) work sharing effect.

关键词

Public administration, Mathematical modelling, Emergent phenomena, Stability, Nonlinear systems, Statistical physics

研究领域

Statistics, Public Policy and International Affairs, Mathematics

参考文献

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基金

暂无数据

补充材料

1. Manuscript DOI: 10.1504/IJPSPM.2022.10035734   Download

附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

知识共享许可协议

Copyright © 2023 Roberto Telles. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.