Classification of Digital Transformation Stages and Portfolio Characteristics: A Framework Applied to Annual Reports of Japanese Listed Companies

This study proposes a quantitative evaluation method and a new theoretical framework for Digital Transformation (DX) stages based on text analysis of Japanese companies’ securities reports. Traditionally, DX stages have been explained through a linear model of Digitization, Digitalization, and Digital Transformation, but disparities between this model and corporate realities have become problematic. Analysis of 426 companies’ securities reports based on the three-stage DX model revealed that the classification accuracy of the Ensemble model was approximately 64%. Analysis of misclassifications showed significant bidirectional misclassifications between stages, suggesting that companies possess multiple stage elements simultaneously during DX progression, indicating a "portfolio characteristic." Based on these findings, we propose a "DX Activity Portfolio Model." This research provides a new perspective to DX stage theory and offers practical implications for companies to develop and evaluate DX strategies more aligned with reality.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.430
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Classification of Digital Transformation Stages and Portfolio Characteristics: A Framework Applied to Annual Reports of Japanese Listed Companies

Yuta Watanabe, Yasunobu Kino
Procedia Computer Science
Big Data and Business Intelligence
article

Classification of Digital Transformation Stages and Portfolio Characteristics: A Framework Applied to Annual Reports of Japanese Listed Companies

Yuta Watanabe, Yasunobu Kino
article en

Abstract

This study proposes a quantitative evaluation method and a new theoretical framework for Digital Transformation (DX) stages based on text analysis of Japanese companies’ securities reports. Traditionally, DX stages have been explained through a linear model of Digitization, Digitalization, and Digital Transformation, but disparities between this model and corporate realities have become problematic. Analysis of 426 companies’ securities reports based on the three-stage DX model revealed that the classification accuracy of the Ensemble model was approximately 64%. Analysis of misclassifications showed significant bidirectional misclassifications between stages, suggesting that companies possess multiple stage elements simultaneously during DX progression, indicating a "portfolio characteristic." Based on these findings, we propose a "DX Activity Portfolio Model." This research provides a new perspective to DX stage theory and offers practical implications for companies to develop and evaluate DX strategies more aligned with reality.

Procedia Computer ScienceVol. 270
University of Tsukuba (JP)
Openalex Percentile: Top 48%
Big Data and Business Intelligence
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