Analysis of business process automation as linear time-invariant system network
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Abstract (arXiv)
In this work, we examined Business Process (BP) production as a signal; this novel approach explores a BP workflow as a linear time-invariant (LTI) system. We analysed BP productivity in the frequency domain; this standpoint examines how labour and capital act as BP input signals and how their fundamental frequencies affect BP production. Our research also proposes a simulation framework of a BP in the frequency domain for estimating productivity gains due to the introduction of automation steps. Our ultimate goal was to supply evidence to address Solow's Paradox.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 52 references that are in the map. First posted on arXiv 9 Feb 2023.
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10 of 52 references.
References · 10
- 2016"Why Should I Trust You?": Explaining the Predictions of Any Classifiercited by 5,040
- 2020Deep Learning for Predictive Business Process Monitoring: Review and Benchmarkcited by 45
- 2021ProcessTransformer: Predictive Business Process Monitoring with Transformer Networkcited by 34
- 2020A User Guide to Low-Pass Graph Signal Processing and its Applicationscited by 25
- 2021Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learningcited by 10
- 2020Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learningcited by 8
- 2021Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanismscited by 6
- 2022Microeconomic Foundations of Decentralised Organisationscited by 2
- 2022Explainable Artificial Intelligence for Improved Modeling of Processescited by 2
- 2020Circulant Singular Spectrum Analysis: A new automated procedure for signal extractioncited by 1
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