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Comuzzi, Marco
Intelligent Enterprise Lab (IEL)
Research Interests
  • business process management, enterprise systems, process monitoring, compliance
  • management, ERP system, business network, design science

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Assessing and improving measurability of process performance indicators based on quality of logs

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Title
Assessing and improving measurability of process performance indicators based on quality of logs
Author
Cappiello, CinziaComuzzi, MarcoPlebani, PierluigiFim, Matheus
Issue Date
2022-01
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
INFORMATION SYSTEMS, v.103, pp.101874
Abstract
The efficiency and effectiveness of business processes are usually evaluated by Process Performance Indicators (PPIs), which are computed using process event logs. PPIs can be insightful only when they are measurable, i.e., reliable. This paper proposes to define PPI measurability on the basis of the quality of the data in the process logs. Then, based on this definition, a framework for PPI measurability assessment and improvement is presented. For the assessment, we propose novel definitions of PPI accuracy, completeness, consistency, timeliness and volume that contextualise the traditional definitions in the data quality literature to the case of process logs. For the improvement, we define a set of guidelines for improving the measurability of a PPI. These guidelines may concern improving existing event logs, for instance through data imputation, implementation or enhancement of the process monitoring systems, or updating the PPI definitions. A case study in a large-sized institution is discussed to show the feasibility and the practical value of the proposed framework. (C) 2021 Elsevier Ltd. All rights reserved.
URI
https://scholarworks.unist.ac.kr/handle/201301/53941
URL
https://www.sciencedirect.com/science/article/pii/S0306437921000995?via%3Dihub
DOI
10.1016/j.is.2021.101874
ISSN
0306-4379
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SME_Journal Papers
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