Who is Driving Corporate Transformation: Predicting 
Enterprise Digital Transformation with Machine Learning

Hui Chen; Junyu Tao

doi:10.70711/frim.v3i10.7499

Who is Driving Corporate Transformation: Predicting Enterprise Digital Transformation with Machine Learning

Hui Chen, Junyu Tao

Abstract

In a highly uncertain economic environment, more and more enterprises are trying to secure their economic vitality through digital
transformation, and therefore, it is particularly important to grasp the original drivers of enterprise digital transformation. In this study, we
hope to combine resource-based theory (RBV) and principal-agent theory (PT) to build a multifaceted model of the determinants of digital
transformation, and to identify the determinants of digital transformation through various machine learning algorithms by utilizing the data of
A-share listed companies of Chinese firms in the period of 2010-2022.

Keywords

Digital transformation; Machine learning; Principal-agent theory; Event prediction

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DOI: http://dx.doi.org/10.70711/frim.v3i10.7499

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