Analysis of business process automation as linear time-invariant system network
This work addresses the problem of understanding and optimizing business process automation for organizations, though it appears incremental in applying existing signal processing concepts to a new domain.
The authors tackled the problem of analyzing business process automation by modeling business process production as a linear time-invariant system in the frequency domain, proposing a simulation framework to estimate productivity gains from automation steps, with the goal of addressing Solow's Paradox.
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.