The Impact of Digital Ecosystems on Digital Transformation of Manufacturing Industry: Unveiling the Key Drivers thro ugh Configuration Analysis

Abstract Under the background of rapid development of the global digital economy and accelerated transformation and upgrading of the manufacturing industry, the impact of digital ecology on the digital transformation of the manufacturing industry has become a focus of attention in both academic and practical circles. Drawing on the SCP paradigm, the DPSIR framework and the organizational configuration theory, this paper provides an in-depth discussion of the digital transformation path of the manufacturing industry driven by the digital ecology. Through a meticulous study of 2017-2018 data from 30 Chinese provinces, employing Network Comparative Analysis (NCA) and Fuzzy Set Qualitative Comparative Analysis (fsQCA) methodologies, we seek to discover ways to improve the manufacturing industry's digital transformation performance, taking into account the variables of digital ecology, knowledge-based human capital, governmental digital support, peer digital competition, degree of synergistic clustering, depth of digital penetration, and breadth of information management. digital transformation performance. It is found that these factors alone are not sufficient to ensure superior performance in manufacturing digital transformation. In this paper, five effective paths that generate enhancement of manufacturing digital transformation are summarized, and the organizational configuration theory is divided into two categories: dual-driven paths of ambient attitudes (DA&IA) and single-driven paths of industrial attitudes (IA). Information management breadth is a crucial factor in the four industrial attitude mono-driven (IA) paths. However, under the dual-driven path of ambient attitudes (DA&IA), the manufacturing industry must rely on the multifactorial influences of intellectual human capital, peer digital competition, and depth of digital penetration in improving digital transformation performance without having to be influenced by the breadth of information management. Using DPSIR and organizational configuration theory, this paper elucidates the nonlinear relationship between digital ecology and digital transformation of manufacturing industry, and also provides a new theoretical basis and practical path for the manufacturing industry to explore low-carbon transformation strategies in digital ecology.