Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2022 12:00 AM
End Date
7-1-2022 12:00 AM
Description
One of the biggest challenges in performing a Process Mining (PM) initiative is the data availability since business processes (BPs) are usually implicit within the organization’s information systems supporting them or by BPMS platforms with the process and organizational data distributed across heterogeneous databases within the organization. Moreover, in e-Government, inter-organizational collaborative business processes have traces of execution spread across several organizations. The main objective of this paper is to describe a case study on applying PM to e-Government business processes traced by an existing centralized traceability system, using our methodology for organizational data science. We provided a step-by-step analysis answering fundamental questions about their execution and evaluating improvement opportunities of the traceability system to strengthen PM initiatives.
Discovery and Analysis of E-Government Business Processes with Process Mining: a case study
Online
One of the biggest challenges in performing a Process Mining (PM) initiative is the data availability since business processes (BPs) are usually implicit within the organization’s information systems supporting them or by BPMS platforms with the process and organizational data distributed across heterogeneous databases within the organization. Moreover, in e-Government, inter-organizational collaborative business processes have traces of execution spread across several organizations. The main objective of this paper is to describe a case study on applying PM to e-Government business processes traced by an existing centralized traceability system, using our methodology for organizational data science. We provided a step-by-step analysis answering fundamental questions about their execution and evaluating improvement opportunities of the traceability system to strengthen PM initiatives.
https://aisel.aisnet.org/hicss-55/dg/business_process_management/3