Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations

被引：4

作者：

Park, Gyunam ^{[1
]}

Comuzzi, Marco ^{[2
]}

van Der Aalst, Wil M. P. ^{[1
]}

机构：

[1] Rhein Westfal TH Aachen, Proc & Data Sci Grp PADS, Aachen, Germany

[2] UNIST, Dept Ind Engn, Ulsan, South Korea

来源：

RESEARCH CHALLENGES IN INFORMATION SCIENCE | 2022年 / 446卷

关键词：

Business process; System update; Impact; Digital twin;

D O I：

10.1007/978-3-031-05760-1_10

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Digital transformation often entails small-scale changes to information systems supporting the execution of business processes. These changes may increase the operational frictions in process execution, which decreases the process performance. The contributions in the literature providing support to the tracking and impact analysis of small-scale changes are limited in scope and functionality. In this paper, we use the recently developed Digital Twins of Organizations (DTOs) to assess the impact of (process-aware) information systems updates. More in detail, we model the updates using the configuration of DTOs and quantitatively assess different types of impacts of information system updates (structural, operational, and performance-related). We implemented a prototype of the proposed approach. Moreover, we discuss a case study involving a standard ERP procure-to-pay business process.

引用

页码：159 / 176

页数：18

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