提高流程挖掘成熟度--从意图到行动

IF 7.9 3区 管理学 Q1 Computer Science Business & Information Systems Engineering Pub Date : 2024-07-30 DOI:10.1007/s12599-024-00882-7
Jonathan Brock, Katharina Brennig, Bernd Löhr, Christian Bartelheimer, Sebastian von Enzberg, Roman Dumitrescu
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引用次数: 0

摘要

流程挖掘作为揭示流程动态的宝贵见解的有力工具,正在取得长足进步。然而,如何利用流程挖掘提高流程透明度是企业普遍关心的问题。尽管人们普遍希望整合流程挖掘,将其作为促进更敏捷、更灵活的业务流程管理(BPM)环境的关键催化剂,但由于流程挖掘准备工作的各个方面存在缺陷,许多组织在实现广泛实施和采用方面面临挑战。当前的信息系统(IS)知识库缺乏一个全面的框架来帮助企业提高流程挖掘的就绪程度,并缩小这种意图与行动之间的差距。本文介绍了经过多次迭代改进的流程挖掘成熟度模型(P3M),该模型概述了企业为提高流程挖掘就绪度而必须解决的五个因素和 23 个要素。该成熟度模型从多个方面加深了人们对如何缩小流程挖掘计划的意图与行动之间差距的理解。此外,通过对 11 个定性访谈中收集的数据进行综合分析,还得出了一些见解,阐明了企业可以实施的 30 项可能行动,以便通过流程挖掘建立一个反应更快、更具活力的业务流程管理环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Improving Process Mining Maturity – From Intentions to Actions

Process mining is advancing as a powerful tool for revealing valuable insights about process dynamics. Nevertheless, the imperative to employ process mining to enhance process transparency is a prevailing concern for organizations. Despite the widespread desire to integrate process mining as a pivotal catalyst for fostering a more agile and flexible Business Process Management (BPM) environment, many organizations face challenges in achieving widespread implementation and adoption due to deficiencies in various dimensions of process mining readiness. The current Information Systems (IS) knowledge base lacks a comprehensive framework to aid organizations in augmenting their process mining readiness and bridging this intention-action gap. The paper presents a Process Mining Maturity Model (P3M), refined through multiple iterations, which outlines five factors and 23 elements that organizations must address to increase their process mining readiness. The maturity model advances the understanding of how to close the intention-action gap of process mining initiatives in multiple dimensions. Furthermore, insights from a comprehensive analysis of data gathered in eleven qualitative interviews are drawn, elucidating 30 possible actions that organizations can implement to establish a more responsive and dynamic BPM environment by means of process mining.

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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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