Measuring value-based management using natural language processing

IF 4 2区管理学 Q1 BUSINESS, FINANCE

Management Accounting Research Pub Date : 2025-10-18 DOI:10.1016/j.mar.2025.100946

Janice Wobst , Philipp Röttger , Rainer Lueg

引用次数: 0

Abstract

We propose an alternative approach to quantifying a firm’s value-based management (VBM) sophistication. The approach uses natural language processing (NLP) and builds on a newly developed, customised dictionary. We describe the development of this dictionary and validate the resulting measure for a large sample of European listed firms (STOXX Europe 600 Index) using tests of internal consistency, construct validity, and relevant robustness checks. In doing so, we present a novel application of NLP in management accounting. We also contribute a customised, open-source dictionary for the measurement of VBM sophistication thereby creating opportunities for future research.

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使用自然语言处理测量基于价值的管理

我们提出了另一种方法来量化公司的价值管理（VBM）的复杂性。该方法使用自然语言处理（NLP），并建立在新开发的定制词典上。我们描述了这个词典的发展，并通过内部一致性、结构有效性和相关稳健性检查的检验，对欧洲上市公司（STOXX欧洲600指数）的大样本进行了验证。在此过程中，我们提出了NLP在管理会计中的新应用。我们还为测量VBM复杂性提供了一个定制的开源词典，从而为未来的研究创造了机会。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Management Accounting Research Multiple-

CiteScore

7.10

自引率

4.30%

发文量

期刊介绍： Management Accounting Research aims to serve as a vehicle for publishing original research in the field of management accounting. Its contributions include case studies, field work, and other empirical research, analytical modelling, scholarly papers, distinguished review articles, comments, and notes. It provides an international forum for the dissemination of research, with papers written by prestigious international authors discussing and analysing management accounting in many different parts of the world.