The Workarounds Process as a Source of Knowledge Creation and Management

Boudreau, Patrick; Vieru, Dragos; Paquette, Gilbert; Héon, Michel

doi:10.1109/hicss.2016.532

Cited by 7 publications

(9 citation statements)

References 27 publications

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“…Organisations can respond to workarounds in different ways and choosing the right response depends on the context [4,5,21]. According to Boudreau et al [8], sharing workarounds can be seen as a process of knowledge management. Indeed, our results show that sharing workarounds may benefit the organisation.…”

Section: Workarounds As a Source Of Organisational Improvementmentioning

confidence: 99%

“…As healthcare professionals are frequently confronted with unpredictable situations, it happens that they deviate from procedure. So-called workarounds are defined as intentional deviations from prescribed practices [2,8]. They are often studied in relation to how prescribed practices are supported by information systems, and how these systems are used differently in practice [11].…”

Section: Introductionmentioning

confidence: 99%

“…The COVID-19 crisis attests how important such flexibility actually is. Workarounds can also be seen as sources of valuable knowledge on what blockages users perceive in their daily work [8]. Studying them enables organisations to analyse organisational performance and improve processes [21].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, using quantitative methods, new types of workarounds may be found in addition to the ones established using qualitative methods. Therefore, there is a clear need to evaluate the suitability of a mixed-methods approach to detecting and analysing workarounds [8,10].…”

Section: Introductionmentioning

confidence: 99%

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Seeing the Signs of Workarounds: A Mixed-Methods Approach to the Detection of Nurses’ Process Deviations

Beerepoot¹,

Lu²,

Weerd³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Workarounds are intentional deviations from prescribed processes. They are most commonly studied in healthcare settings, where nurses are known for frequently deviating from the intended way of using health information systems. However, workarounds in healthcare have only been studied using qualitative methods, such as observations and interviews. We conduct a case study in a Dutch hospital and use a mixed-methods approach that draws not only on interviews and observations, but also on process mining, to detect and analyse eight workarounds that occur in a clinical care process. We contribute to theory by demonstrating that it is possible to use data to determine the occurrence of a rich variety of workarounds found using qualitative methods. Practically, this implies that workarounds that are identified qualitatively can be further analysed and monitored using quantitative methods. Once identified, workarounds also provide an attractive starting point for organisational learning and improvement.

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Section: Workarounds As a Source Of Organisational Improvementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Seeing the Signs of Workarounds: A Mixed-Methods Approach to the Detection of Nurses’ Process Deviations

Beerepoot¹,

Lu²,

Weerd³

et al. 2021

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…For this, a clearly stated process script is needed, because else no deviation from a de jure process model can be identified. Previous studies have shown that process mining could be used to detect workaround candidates ( Beerepoot, Lu, van de Weerd, & Alexander Reijers, 2021 ;Boudreau et al, 2016 ;Ejnefjäll & Ågerfalk, 2019 ;Weinzierl, Wolf, Pauli, Beverungen, & Matzner, 2022 ). Yet, there is a need for evaluating the effectiveness of process mining for analyzing workarounds in informal contexts, like those of many SMEs, that may lack de jure models.…”

Section: Introductionmentioning

confidence: 99%