2019
DOI: 10.17705/1cais.04520
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Conceptualizing Workarounds: Meanings and Manifestations in Information Systems Research

Abstract: We reviewed papers in core IS outlets that defined the term workaround or presented an example of a workaround. In the analysis, we used Ogden and Richard's triangle of reference as a theoretical framework to analyze the relationship between 1) the term workaround; 2) theories, definitions, and use of the term; and 3) their empirical basis and empirical workaround behavior that the papers describe. First, we summarize the existing theoretical insights regarding workarounds and investigate their validity. Secon… Show more

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Cited by 19 publications
(44 citation statements)
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“…The final major insight that can be drawn from this study is that different research methods are necessary to detect and understand the use of workarounds in practice, which confirms earlier studies on workarounds. As Ejnefjäll and Ågerfalk stated: "Since workaround behaviors can take different forms in different settings, we need to understand the context and phenomena before using quantitative data-collection methods, which makes studying workarounds ideal for multi-method research that combines qualitative and quantitative methods" [10]. Indeed, in order to detect workarounds, one must first learn what the designed paths are and what that behaviour looks like in the data, before one can start identifying workarounds.…”
Section: Combining Qualitative and Quantitative Methods For Studying Workaroundsmentioning
confidence: 99%
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“…The final major insight that can be drawn from this study is that different research methods are necessary to detect and understand the use of workarounds in practice, which confirms earlier studies on workarounds. As Ejnefjäll and Ågerfalk stated: "Since workaround behaviors can take different forms in different settings, we need to understand the context and phenomena before using quantitative data-collection methods, which makes studying workarounds ideal for multi-method research that combines qualitative and quantitative methods" [10]. Indeed, in order to detect workarounds, one must first learn what the designed paths are and what that behaviour looks like in the data, before one can start identifying workarounds.…”
Section: Combining Qualitative and Quantitative Methods For Studying Workaroundsmentioning
confidence: 99%
“…In the Information Systems discipline, there is an ongoing debate on how workarounds need to be defined. In most studies, they have four characteristics ascribed to them [10]. The first is that there is a certain designed path, the norm on how work should be done.…”
Section: Definition and Detection Of Workaroundsmentioning
confidence: 99%
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