Laying the ground for future cross-organizational process mining research and application: a literature review

IF 4.5 3区 管理学 Q1 BUSINESS
Julian Rott, Markus Böhm, Helmut Krcmar
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引用次数: 0

Abstract

Purpose

Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

Design/methodology/approach

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Findings

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

Originality/value

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.

为未来跨组织流程挖掘研究和应用奠定基础:文献综述
目的 流程挖掘(PM)已成为以数据为基础深入了解企业业务流程的领先技术。随着流程越来越多地跨越组织边界,企业需要与多个组织联合开展流程挖掘,以优化运营。然而,目前有关跨组织流程挖掘(coPM)的知识非常分散。因此,我们综合了当前有关协同管理的知识,确定了协同管理面临的挑战和促进因素,并为未来研究建立了一个社会技术框架和议程。 我们对 66 篇文章进行了文献综述,并根据信息技术(IT)支持的组织间协调(IOC)框架和完善的项目管理框架对研究结果进行了总结。前者指出,在组织间关系中,不确定性来源决定了信息处理需求,协调机制决定了信息处理能力,而需求与能力之间的匹配决定了关系的绩效。研究结果 过去的文献主要集中于协同管理技术,例如确保隐私的算法和制图管理。未来的研究应侧重于社会技术方面,并遵循四个步骤:首先,确定共同预防机制中的不确定性来源。第二,设计、开发和评估协调机制。第三,研究这些机制如何协助处理不确定性。第四,分析对共同预防机制性能的影响。此外,我们还提出了联合项目管理应用所面临的 18 项挑战(如整合分布式数据)和 9 项促进因素(如协调不同战略)。 原创性/价值 这是第一篇系统调查联合项目管理研究现状的文章,并在信息技术支持的 IOC 成熟框架基础上提出了社会技术研究议程。
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
CiteScore
8.60
自引率
9.80%
发文量
58
期刊介绍: Business processes are a fundamental building block of organizational success. Even though effectively managing business process is a key activity for business prosperity, there remain considerable gaps in understanding how to drive efficiency through a process approach. Building a clear and deep understanding of the range process, how they function, and how to manage them is the major challenge facing modern business. Business Process Management Journal (BPMJ) examines how a variety of business processes intrinsic to organizational efficiency and effectiveness are integrated and managed for competitive success. BPMJ builds a deep appreciation of how to manage business processes effectively by disseminating best practice. Coverage includes: BPM in eBusiness, eCommerce and eGovernment Web-based enterprise application integration eBPM, ERP, CRM, ASP & SCM Knowledge management and learning organization Methodologies, techniques and tools of business process modeling, analysis and design Techniques of moving from one-shot business process re-engineering to continuous improvement Best practices in BPM Performance management Tools and techniques of change management BPM case studies.
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