Managerial Myopia and Digital Transformation in Manufacturing: A Text Mining Approach Based on the BERT-LDA Model

In the era of digital economy, digital transformation has become an inevitable path for manufacturing enterprises to achieve high-quality development.However, not all managers of manufacturing enterprises have a long-term and sustainable development perspective.Drawing on MD&A reports from 415 Chinese manufacturing enterprises, this study applies a BERT-LDA text mining model to analyze how managerial myopia influences digital transformation.The research results reveal that: (1) The more terms related to "myopic perspective" are disclosed in MD&Atext data, the more effectively it can reflect the inherent temporal and spatial managerial myopia traits; (2) The impact of managerial myopia on the digital transformation of manufacturing enterprises is reflected in six major dimensions: short-term performance orientation suppressing R&D investment, traditional business reliance restricting the transformation vision, current indicator focus squeezing long-term projects, specific project management neglecting system transformation, existing market reliance weakening long-term layout, and short-term cash flow control reducing transformation investment.These six dimensions together constitute the resistance to the digital transformation of manufacturing enterprises.This paper comprehensively applies empirical analysis methods such as text mining, sentiment analysis and topic clustering to study the digital transformation of manufacturing enterprises, providing references and inspirations for future research in related fields.Meanwhile, this paper also broadens the analysis of the consequences of myopic behaviors of managers, which has important practical implications for the appointment of high-level management talents in enterprises and the supervision of enterprises and the government.