论文标题
使用组织数字双胞胎分析过程感知信息系统更新
Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations
论文作者
论文摘要
数字化转型通常需要对支持业务流程执行的信息系统进行小规模的更改。这些变化可能会增加过程执行中的操作摩擦，从而降低过程性能。文献中的贡献为小规模变化的跟踪和影响分析提供了支持的范围和功能限制。在本文中，我们使用最近开发的组织双胞胎（DTO）来评估（过程感知）信息系统更新的影响。更详细地，我们使用DTO的配置对更新进行建模，并定量评估信息系统更新（结构，操作和性能相关）的不同类型的影响。我们实施了所提出方法的原型。此外，我们讨论了涉及标准ERP采购业务流程的案例研究。
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.
