Digital Intelligence Business in the Era of Large Language Models：Theoretical Advances，Key Scientific Issues，and Methodological Approaches

In response to national priorities and the frontiers of academic research，the development of digital and intelligent commerce in the era of large models depends not only on breakthroughs in key technologies such as artificial intelligence and their applications in the industry but also on the reengineering of traditional business processes and innovations in management theories. Deeply integrating data intelligence with business scenarios，overcoming core technological bottlenecks，fostering new industries and models，and achieving a new paradigm of intelligent，efficient，and collaborative digital and intelligent commerce represent crucial future directions. Based on the 406^th “Shuang Qing Forum”，focusing on the theories and methods of digital intelligence business in the era of large language models，this study delves into three aspects：key technologies and methods，intelligent collaboration and autonomous decision-making，and new models and forms. It further proposes a research agenda addressing advancements in AI methods and large model technologies，multi-agent decision-making and cross-agent collaboration，and human-AI integration in process-organization-market reengineering，along with funding recommendations prioritizing interdisciplinary research in management science and computational science for digital and intelligent commerce.