Strategic redesign of business processes in the digital age: A framework

IF 2.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Data & Knowledge Engineering Pub Date : 2024-10-05 DOI:10.1016/j.datak.2024.102367
Fredrik Milani, Kateryna Kubrak, Juuli Nava
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Abstract

Organizations constantly seek ways to improve their business processes by using digital technologies as enablers. However, simply substituting an existing technology with a new one has limited value compared to using the capabilities of digital technologies to redesign business processes. Therefore, process analysts try to understand how the capabilities of digital technologies can enable the redesign of business processes. In this paper, we conduct a systematic literature review and examine 40 case studies where digital technologies were used to redesign business processes. We identified that, within the context of business process improvement, capabilities of digitalization, communication, analytics, digital representation, and connectivity can enable business process redesign. Furthermore, we note that these capabilities enable applying nine redesign heuristics. Based on our review, we map how each capability can facilitate the implementation of specific redesign heuristics. Finally, we illustrate how such a capability-driven approach can be applied to Metaverse as an example of a digital technology. Our mapping and classification framework can aid analysts in identifying candidate redesigns that capitalize on the capabilities of digital technologies.
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数字时代业务流程的战略再设计:一个框架
各组织都在不断寻求利用数字技术改进业务流程的方法。然而,与利用数字技术的功能重新设计业务流程相比,简单地用新技术取代现有技术的价值有限。因此,流程分析师试图了解数字技术的功能如何能够促进业务流程的重新设计。在本文中,我们进行了系统的文献回顾,并研究了 40 个利用数字技术重新设计业务流程的案例。我们发现,在业务流程改进的背景下,数字化、通信、分析、数字表示和连接等能力可以促进业务流程的重新设计。此外,我们还注意到,这些能力有助于应用九种重新设计启发式方法。在回顾的基础上,我们描绘了每种能力如何促进特定再设计启发式方法的实施。最后,我们举例说明了如何将这种以能力为导向的方法应用于 Metaverse 这种数字技术。我们的映射和分类框架可以帮助分析人员确定可利用数字技术能力的候选再设计方案。
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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来源期刊
Data & Knowledge Engineering
Data & Knowledge Engineering 工程技术-计算机:人工智能
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 months
期刊介绍: Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.
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