数据驱动的财务尽职调查中的实践和理论判断

Tim Kastrup, Michael Grant, Fredrik Nilsson
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引用次数: 0

摘要

目的新的数字技术正在重塑商业格局和会计工作。本文旨在研究更多数据和新的数据分析(DA)工具如何影响判断在财务尽职调查(FDD)中的作用和使用。主要数据包括半结构化访谈、观察和其他会议。在理论上,本文借鉴了杜威的《实践判断的逻辑》和《逻辑学》:研究结果在 DealCo 的 FDD 实践中,使用更多的数据和新的数据分析工具意味着可能性的范围大大扩展。为了管理新发现的丰富数据并有效使用数据分析,DealCo 的顾问们在数据驱动的 FDD 的不同阶段和领域中,运用了实践和理论判断。本文指出了判断力的四种关键用途:确定优先事项和保持克制(实践判断)以及形成假设和进行感性检查(理论判断)。在这些能力中,实践判断和理论判断对于将原始数据转化为可操作的见解以及将不确定的情况转化为确定的情况至关重要。
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Practical and theoretical judgment in data-driven financial due diligence

Purpose

New digital technologies are reshaping the business landscape and accounting work. This paper aims to investigate how incorporating more data and new data analytics (DA) tools impacts the role and use of judgment in financial due diligence (FDD).

Design/methodology/approach

The paper reports findings from a field study at a Big Four accounting firm in Sweden (“DealCo”). The primary data includes semi-structured interviews, observations and other meetings. Theoretically, it draws on Dewey’s The Logic of Judgments of Practise and Logic: The Theory of Inquiry and distinguishes between theoretical (what is probably true) and practical judgment (what to do).

Findings

In DealCo’s FDD practice, using more data and new DA tools meant that the realm of possibility had expanded significantly. To manage the newfound abundance and to use DA effectively, DealCo’s advisors invoked practical and theoretical judgments in different stages and areas of the data-driven FDD. The paper identifies four critical uses of judgment: Setting priorities and exercising restraint (practical judgment) and forming hypotheses and doing sense checks (theoretical judgment). In these capacities, practical judgment and theoretical judgment were essential in transforming raw data into actionable insights and, in effect, an indeterminate situation into a determinate one.

Originality/value

The study foregrounds the practical dimension of knowledge production for decision-making and contributes to a better understanding of the role, use and importance of accounting professionals’ judgment in a data-driven world.

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