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1 – 2 of 2Martin Kornberger, Clarissa Ruth Marie Schott, Dan-Richard Knudsen and Christian Andvik
This paper aims to point to the shift in the temporal orientation, going from reporting on the past to creating insights about the future, which might be suggestive of perennial…
Abstract
Purpose
This paper aims to point to the shift in the temporal orientation, going from reporting on the past to creating insights about the future, which might be suggestive of perennial managerial attempts to push the boundaries of bounded rationality.
Design/methodology/approach
In this essay, the authors want to critically engage with the concept of “data-driven management” in the context of digitalization. To do so, they sketch the edges of current discourses around the emerging idea of data-driven management and its relationship with the inner workings of organizations from an accounting perspective. They question the often-times supposed objectivity and increased rationality of the concept and instead introduce the idea of becoming “data-curious” (before being data-driven).
Findings
The authors observe that this push also seems to be accompanied by trends of individualized decision-making and prevailing hopes of technology to solve organizational problems. They therefore suggest that it is valuable for current debates to take a moment to give attention, in practice and in research, to the role of temporality, benefits of collective decision-making and changes in professions (of accountants).
Originality/value
The aim of this paper is to spark curiosity and engagement with the phenomenon of data-driven management by outlining a novel set of potential future pathways of research and point towards methods that might help studying the questions arising for a data-curious approach.
Details
Keywords
Tim Kastrup, Michael Grant and Fredrik Nilsson
The purpose of this paper is to contribute to a better, empirically grounded and theoretically informed understanding of data analytics (DA) use and nonuse in accounting for…
Abstract
Purpose
The purpose of this paper is to contribute to a better, empirically grounded and theoretically informed understanding of data analytics (DA) use and nonuse in accounting for decision-making. To that end, it explores the links between accounting logic, commercial logic and DA use in financial due diligence (FDD).
Design/methodology/approach
The paper reports the findings of a case study of DA use in the FDD practice of a Big Four accounting firm in Sweden (Pseudonym: DealCo). The primary data comprises semistructured interviews, observations and additional meetings. Institutional logics is mobilized as method theory.
Findings
First, accounting logic and commercial logic both drove and hindered DA use in DealCo’s FDD practice in different ways. Second, conflicting prescriptions for DA use existed mostly within commercial logic rather than between accounting logic and commercial logic. Third, accounting logic and commercial logic, as perceptual and conceptual filters, seemed to shape DealCo’s advisors’ understanding of DA and give rise to an efficiency-centric DA logic. This logic, in turn, as a high-level model of how to use DA in the context of FDD, governed DA use broadly.
Originality/value
The paper draws attention to direct and indirect links between accounting logic and commercial logic, on the one hand, and DA conceptions and use, on the other hand. It, thereby, advances prior theorization of DA use in accounting for decision-making.
Details