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

In: Digital Transformation in Accounting and Auditing

Author

Listed:
  • Ju-Chun Yen

    (National Central University)

  • Tawei Wang

    (DePaul University)

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.

Suggested Citation

  • Ju-Chun Yen & Tawei Wang, 2024. "A Topic Modeling-Based Review of Digital Transformation Literature in Accounting," Springer Books, in: Arif Perdana & Tawei Wang (ed.), Digital Transformation in Accounting and Auditing, chapter 0, pages 105-118, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-46209-2_4
    DOI: 10.1007/978-3-031-46209-2_4
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