Discourse analysis on sustaining the maieutic role “when management accounting goes digital”

Vesa Tiitola, Tuomas Jalonen, Mirva Rantanen-Flores, Tuomas Korhonen, Johanna Ruusuvuori and Teemu Laine

Qualitative Research in Accounting & Management, 2024, vol. 21, issue 2, 140-164

Abstract: Purpose - This paper aims to explore how the maieutic role of management accounting (MA) can be sustained in the context of MA digitalization. Design/methodology/approach - The paper begins with practitioners’ descriptions of the context that makes the MA support of non-routine decisions maieutic. To understand how the maieutic characteristics can be sustained in future MA digitalization, the authors then analyze the discourses these practitioners have about artificial intelligence (AI) in providing MA support. Findings - As a basis, the authors’ data show various maieutic characteristics within the use of MA answers in decision-making as well as within the MA process of generating such answers. The paper then identifies three MA digitalization discourses, namely, “computation,” “judgment” and human-AI “interaction” discourse, each with their unique agendas on how AI should be used. Originality/value - The paper is based on the premises that AI and digitalization are often discussed without sufficient understanding about the context being digitalized. The authors’ data suggest that MA support in non-routine decision-making is fundamentally maieutic, and AI – as it currently stands – is not expected to change this by providing perfect answers. The authors provide novel insights about maieutic MA support and the current discourses on using AI in MA support, and how digitalization does not necessarily compromise maieutic MA support but instead has the potential to sustain or even enhance it.

Keywords: Decision-making; Management accounting; Artificial intelligence; Discourse; Digitalization; Maieutic machine (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:qrampp:qram-11-2022-0198

DOI: 10.1108/QRAM-11-2022-0198

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