Constructing a Digital Capability Evaluation Framework for Manufacturing Enterprises in the Context of Digital Economy: Based on LDA, Entropy Weight and TOPSIS Model

Abstract

The rapid advancement of the digital economy has significantly influenced the manufacturing sector, necessitating the development of robust digital capabilities for sustained competitiveness. This study addresses the critical gap in evaluating digital capabilities post-digital transformation in manufacturing enterprises. To avoid subjective evaluation, the research adopts text data mining and integrates Latent Dirichlet Allocation (LDA) Topic Modelling, Entropy Weight Method, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Model by Python programming to construct a comprehensive digital capability evaluation framework. The findings reveal key indicators of digital prowess in manufacturing enterprises, with a particular focus on R&D investment, IT expenditure, and smart manufacturing levels. This study contributes to the field by providing a systematic evaluation tool, aiding manufacturing enterprises in navigating the complexities of the digital economy and enhancing their digital transformation strategies.