Analysis of business process automation as linear time-invariant system network
Jacobo-Romero, Mauricio, Carvalho, Danilo S., Freitas, Andre
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Feb-9-2023
- Country:
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- North America > United States (0.68)
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- Research Report
- Technology:
- Information Technology
- Artificial Intelligence > Machine Learning (1.00)
- Data Science (0.68)
- Modeling & Simulation (0.88)
- Information Technology