流程挖掘的成功因素及其相互关系

IF 7.9 3区 管理学 Q1 Computer Science
Azumah Mamudu, Wasana Bandara, Moe T. Wynn, Sander J. J. Leemans
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引用次数: 0

摘要

流程挖掘--从信息系统(IS)的事件日志中提取洞察力的一整套技术--正被越来越多的机构用来提高运营效率。尽管相关领域对关键成功因素(CSF)进行了广泛研究,但针对流程挖掘的 CSF 研究却十分有限。此外,这些研究只是确定了一些因素,并没有提供基本的细节,例如对成功因素及其相互关系的清晰概念性理解。本文通过多阶段方法(应用已发表的流程挖掘案例研究、开展两项深入案例研究和专家访谈),提出了一个经过经验验证的流程挖掘 CSF 模型和 CSF 相互关系。这个经过验证的 CSF 模型确定了十个流程挖掘 CSF,解释了这些因素与流程挖掘环境的关系,并分析了它们与流程挖掘成功的相互关系。研究结果为企业在流程挖掘实践中投资于正确的 CSF 组合以实现价值提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Process Mining Success Factors and Their Interrelationships

Process Mining Success Factors and Their Interrelationships

Process mining—a suite of techniques for extracting insights from event logs of Information Systems (IS)—is increasingly being used by a wide range of organisations to improve operational efficiency. Despite extensive studies of Critical Success Factors (CSFs) in related domains, CSF studies tailored to process mining are limited. Moreover, these studies merely identify factors and do not provide essential details such as a clear conceptual understanding of success factors and their interrelationships. Through a multi-phased approach (applying published process mining case studies, conducting two in-depth case studies and expert interviews), this paper presents an empirically validated process mining CSF model and CSF interrelationships. This validated CSF model identifies ten process mining CSFs, explains how these factors relate to the process mining context and analyses their interrelationships with regard to process mining success. The findings provide a guide for organisations to invest in the right mix of CSFs for value realisation in process mining practice.

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来源期刊
Business & Information Systems Engineering
Business & Information Systems Engineering 工程技术-计算机:信息系统
CiteScore
11.30
自引率
7.60%
发文量
44
审稿时长
3.0 months
期刊介绍: BISE (Business & Information Systems Engineering) is an international scholarly journal that undergoes double-blind peer review. It publishes scientific research on the effective and efficient design and utilization of information systems by individuals, groups, enterprises, and society to enhance social welfare. Information systems are viewed as socio-technical systems involving tasks, people, and technology. Research in the journal addresses issues in the analysis, design, implementation, and management of information systems.
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