Research on the Digital Transformation Path and Performance of BAIC from the Perspective of Resource Orchestration

Based on the resource orchestration theory, this study takes BAIC (Beijing Automotive Group Co., Ltd.) as a case and uses the grounded theory to explore its digital transformation path and its impact on corporate performance. Performance analysis shows that the investment in the initial stage of transformation leads to pressure on short-term profitability, but operational capacity continues to improve; non-financial performance has been significantly enhanced, with R&D investment increasing substantially, multiple national-level intelligent manufacturing certifications obtained, and market position strengthened. Comprehensive results indicate that resource orchestration effectively drives digital transformation, but it is necessary to strengthen industry-university-research cooperation, customer orientation, and resource synergy management to cope with performance fluctuations in the initial stage of transformation and achieve sustainable value creation. This study reveals the dynamic evolution mechanism of the resource orchestration theory in the digital transformation of the automotive industry, providing certain reference value for the digital practice of the manufacturing industry.