A Topic Modeling-Based Review of Digital Transformation Literature in Accounting

Ju-Chun Yen () and Tawei Wang ()
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Ju-Chun Yen: National Central University
Tawei Wang: DePaul University

Chapter Chapter 4 in Digital Transformation in Accounting and Auditing, 2024, pp 105-118 from Springer

Abstract: Abstract This study conducts a literature review of digital transformation (DT) in the accounting field and compares the research trends of DT in the accounting and information systems fields. We adopt a topic modeling-based approach of latent Dirichlet allocation to identify the topic to review the DT-related literature in the information systems and accounting fields. By analyzing 243 DT-related journal articles in both fields, we find that accounting studies have started to address DT since 2017, and the number of studies has increased, especially in the topics of security and blockchain/big data. However, while DT studies in the information systems field have focused on digital/social media, automation software, digital platform ecosystems, and firm value, we do not find similar patterns in the accounting field. Our findings provide accounting researchers with a better understanding of current DT research in the accounting domain and illuminate potential research directions in the future.

Keywords: Digital transformation; Literature review; Topic modeling; Latent Dirichlet allocation; Accounting information systems (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-46209-2_4

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DOI: 10.1007/978-3-031-46209-2_4

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