[Academic Exchange] The 6th E-commerce and Digital Innovation Annual Conference Held at Wuhan University

News Network (Correspondents: Yu Yang, He Chaocheng) On August 27, the 6th E-commerce and Digital Innovation Annual Conference was held at Wuhan University. The theme of the conference was "Generative Artificial Intelligence and Management Innovation." Over a hundred experts and scholars from domestic universities and research institutions engaged in discussions about cutting-edge issues such as generative artificial intelligence and e-commerce innovation, digital transformation and innovative management, e-commerce and logistics management, as well as digital rural development and the promotion of agriculture through digital commerce, further deepening the theoretical understanding and research consensus on e-commerce and digital innovation.

Huang Lihua reviewed the development of the E-commerce and Digital Innovation Annual Conference, emphasizing the disruptive impact of generative artificial intelligence on enterprises' production, operation, and management models. She called for both academia and industry to actively embrace the new technological trends and promote deeper integration of academic research and management practice.

Liu Yezheng reviewed the development history of the ECAM Cyberspace Management Society, stating that the E-commerce and Digital Innovation Annual Conference will continue to face new challenges with an open and innovative attitude, thus contributing to the growth of the professional field.

During the keynote session, Huang Lihua explored the opportunities and challenges faced by the information systems field in the era of digital innovation, pointing out that data factorization is a crucial prerequisite for promoting innovation in the new economy, new business format, and new models. She provided direction for future discipline development from three aspects: complex socio-technical systems, data factorization, and "digitalization X."

Hu Xiangpei from Dalian University of Technology analyzed the time-consuming and subjective bias issues in the coding process of traditional grounded theory, proposing a method that integrates generative artificial intelligence with grounded theory, which was validated through a case study of power grid faults.

Lu Wei from Wuhan University elaborated on the impact of the development of large models and artificial intelligence technologies on the information resource management discipline. He discussed methods and paths for technology innovation and evaluation driven by large models, demonstrating how artificial intelligence empowers the entire chain of technological innovation and evaluation with multiple specific research examples.

Liu Hongyan from Tsinghua University pointed out that large language models exhibit social biases, behavioral biases, and prompt handling biases. Through two research examples, she proposed solutions for the problem of insufficient data in cold start scenarios and the sensitivity of large language models to prompt position in talent recommendation scenarios.

Wu Junjie from Beihang University presented a "zero sample learning" graph large model constructed by combining graph neural networks with large language models, validating its superiority over traditional graph neural network models and large language models through experiments.

In the parallel sessions, 20 experts and scholars delivered reports on four themes: "Generative Artificial Intelligence and E-commerce Innovation," "Digital Transformation and Innovative Management," "E-commerce and Logistics Management," and "Digital Rural Development and Agricultural Digital Commerce." Twelve speakers presented their papers and engaged in interactive discussions with the attending experts and scholars.

(Photos provided by School of Information Management, Editor: Xiang Ru)