The Dark Side of Process Mining. How Identifiable Are Users Despite Technologically Anonymized Data? A Case Study from the Health Sector

Bade, Friederike Maria; Vollenberg, Carolin; Koch, Jannis; Koch, Julian; Coners, André

doi:10.1007/978-3-031-16103-2_16

Cited by 3 publications

(5 citation statements)

References 27 publications

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“…Two important pieces of research were being undertaken in the early 2010s by and by Van der Shaft-Bartis (2013) and Alter (2014). Alter was focusing on a definition for workarounds and whether the definitions could result in a classification of types of workaround that would enable IT managers to manage them.…”

Section: Definitions and Categorisationsmentioning

confidence: 99%

“…A considerable amount of investment is now being made in Business Process Management (BPM) and Process Mining (PM) applications which track the course of processes in terms of chronology and keystrokes with the promise that the aggregated data will enable to the enterprise to identify workarounds from differences in both. (Bade 2022;Beerepoot 2021;Blijleven 2017;Outmazgin 2016;Weinzierl 2022) The challenge for both external academics and consultants is to arrive at a balance between quantitative assessments of the existence and nature of workarounds using some form of data logging and the use of qualitative ethnographic methods. (Ducheneaut 2010;Morike 2022) The use of ethnographic methods brings with it the possibility of bias.…”

Section: Making the Invisible Visiblementioning

confidence: 99%

“…Although written almost a decade ago the paper by Alter (Alter 2014) remains the definitive starting point for any consideration of the impact of workarounds on an organisation. Although there has been a substantial research effort over the last 10 years into identifying and categorizing the workarounds that employees have adopted it remains very difficult to identify what the issues are within an organisation that might catalyse workarounds and the use of shadow IT.…”

Section: Information Management Implicationsmentioning

confidence: 99%

Section: Making the Invisible Visiblementioning

confidence: 99%

“…This is of course a major concern in the clinical sector but is also an issue in the enterprise sector around the identification of specific employees being tracked through data logging. (Bade 2022) This is not just about GDPR conformance as about the level of proof that a data logging application can give about the activities of an individual employee and how this information might be used in assessing the performance and career development of the employee.…”

Section: Making the Invisible Visiblementioning

confidence: 99%

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Workarounds and shadow IT – balancing innovation and risk

White¹

2023

Business Information Review

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A significant amount of research has been carried out into the way in which employees use workarounds and shadow IT to cope with the complexity of enterprise applications. There is a similar situation in the use of clinical record applications. However neither qualitative or quantitative survey techniques give any indication of the scale of the adoption of workarounds. In both enterprise and clinical settings workarounds can either introduce a substantial element of corporate risk or provide a basis for process innovation. The research that has been carried out primarily focuses on data-rich processes and little attention has been given to workarounds in a digital workplace where the processes may be significantly more complex that in enterprise data processes

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Section: Definitions and Categorisationsmentioning

confidence: 99%

Section: Making the Invisible Visiblementioning

confidence: 99%

Section: Information Management Implicationsmentioning

confidence: 99%

Section: Making the Invisible Visiblementioning

confidence: 99%

Section: Making the Invisible Visiblementioning

confidence: 99%

See 3 more Smart Citations

Workarounds and shadow IT – balancing innovation and risk

White¹

2023

Business Information Review

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Process Mining Success Factors and Their Interrelationships

Mamudu,

Bandara,

Wynn

et al. 2024

Bus Inf Syst Eng

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Process mining—a suite of techniques for extracting insights from event logs of Information Systems (IS)—is increasingly being used by a wide range of organisations to improve operational efficiency. Despite extensive studies of Critical Success Factors (CSFs) in related domains, CSF studies tailored to process mining are limited. Moreover, these studies merely identify factors and do not provide essential details such as a clear conceptual understanding of success factors and their interrelationships. Through a multi-phased approach (applying published process mining case studies, conducting two in-depth case studies and expert interviews), this paper presents an empirically validated process mining CSF model and CSF interrelationships. This validated CSF model identifies ten process mining CSFs, explains how these factors relate to the process mining context and analyses their interrelationships with regard to process mining success. The findings provide a guide for organisations to invest in the right mix of CSFs for value realisation in process mining practice.

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