Towards a process selection method for embedded analytics

被引：1

作者：

Bender, Tobias ^{[1
]}

机构：

[1] Univ St Gallen, Controlling Performance Management, Tigerberg str 9, CH-9000 St Gallen, Switzerland

来源：

INFORMATION SYSTEMS AND E-BUSINESS MANAGEMENT | 2024年 / 22卷 / 03期

关键词：

Process selection method; Embedded analytics; Intelligent business processes; Explorative BPM; Action design research; BIG DATA; BUSINESS ANALYTICS; PROCESS MANAGEMENT; DECISION-MAKING; TASK COMPLEXITY; RESEARCH AGENDA; INTELLIGENCE; INFORMATION; CHALLENGES; CONTEXT;

D O I：

10.1007/s10257-024-00675-1

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Driven by technological progress, business analytics is gaining momentum while paving the path for next-generation business process management. Especially, embedded real-time analytics offers new opportunities for business process intelligence and value creation. However, there are several obstacles that organizations face in their adoption process. A key challenge is to identify business processes that are suitable for embedded analytics and hold relevant value potential. Our research addresses this need by introducing an exploratory BPM method, namely a process selection method. Applying action design research and situational method engineering, we iteratively built, used, evaluated, and refined the theory-ingrained method artifact. The method provides organizations with guidance in selecting operational business processes, for which a reengineering project should be initiated.

引用

页码：501 / 525

页数：25

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