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On the composition of the long tail of business processes: Implications from a process mining study
Information Systems ( IF 3.7 ) Pub Date : 2020-11-30 , DOI: 10.1016/j.is.2020.101689
Marcus Fischer , Adrian Hofmann , Florian Imgrund , Christian Janiesch , Axel Winkelmann

Digital transformation forces companies to rethink their processes to meet current customer needs. Business Process Management (BPM) can provide the means to structure and tackle this change. However, most approaches to BPM face restrictions on the number of processes they can optimize at a time due to complexity and resource restrictions. Investigating this shortcoming, the concept of the long tail of business processes suggests a hybrid approach that entails managing important processes centrally, while incrementally improving the majority of processes at their place of execution. This study scrutinizes this observation as well as corresponding implications. First, we define a system of indicators to automatically prioritize processes based on execution data. Second, we use process mining to analyze processes from multiple companies to investigate the distribution of process value in terms of their process variants. Third, we examine the characteristics of the process variants contained in the short head and the long tail to derive and justify recommendations for their management. Our results suggest that the assumption of a long-tailed distribution holds across companies and indicators and also applies to the overall improvement potential of processes and their variants. Across all cases, process variants in the long tail were characterized by fewer customer contacts, lower execution frequencies, and a larger number of involved stakeholders, making them suitable candidates for distributed improvement



中文翻译:

关于业务流程长尾的组成:来自流程挖掘研究的启示

数字化转型迫使公司重新考虑其流程,以满足当前客户的需求。业务流程管理(BPM)可以提供构造和解决此更改的方法。但是,由于复杂性和资源限制,大多数BPM方法一次只能优化的流程数量面临限制。为了研究此缺点,业务流程的尾巴很长的概念提出了一种混合方法,该方法需要集中管理重要流程,同时在其执行位置逐步改进大多数流程。这项研究仔细研究了这一观察结果以及相应的含义。首先,我们定义了一个指标系统,可以根据执行数据自动确定流程的优先级。第二,我们使用流程挖掘来分析来自多家公司的流程,以根据其流程变体来调查流程价值的分布。第三,我们检查短头和长尾中包含的过程变量的特征,以得出合理的管理建议。我们的结果表明,在公司和指标之间存在长尾分布的假设也适用于流程及其变体的整体改进潜力。在所有情况下,长尾流程变型的特征是更少的客户联系,更低的执行频率以及更多的涉众,使其成为分布式改进的合适人选 我们检查了短头和长尾中包含的过程变体的特征,以得出合理的管理建议。我们的结果表明,在公司和指标之间存在长尾分布的假设也适用于流程及其变体的整体改进潜力。在所有情况下,长尾流程变型的特征是更少的客户联系,更低的执行频率以及更多的涉众,使其成为分布式改进的合适人选 我们检查了短头和长尾中包含的过程变体的特征,以得出合理的管理建议。我们的结果表明,在公司和指标之间存在长尾分布的假设也适用于流程及其变体的整体改进潜力。在所有情况下,长尾流程变型的特点是更少的客户联系,更低的执行频率以及更多的涉众,使其成为分布式改进的合适人选 我们的结果表明,在公司和指标之间存在长尾分布的假设也适用于流程及其变体的整体改进潜力。在所有情况下,长尾流程变型的特征是更少的客户联系,更低的执行频率以及更多的涉众,使其成为分布式改进的合适人选 我们的结果表明,在公司和指标之间存在长尾分布的假设也适用于流程及其变体的整体改进潜力。在所有情况下,长尾流程变型的特点是更少的客户联系,更低的执行频率以及更多的涉众,使其成为分布式改进的合适人选

更新日期:2020-12-11
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