The Conference on Generative AI in Sustainable Marketing and Consumer Well being: Promises, Challenges, and Future Research Directions was successfully held on 18 August 2026.
Group photo of organizing committees, senior management of PolyU Speed, and keynote speakers
Prof Sharyn Rundle Thiele (Griffith University) shared insights on social marketing and listening, while Prof Herman Tse (Monash University) presented on phygital service experiences. Dr Jeawon Kim and Prof Stephen Minas (United Nations) addressed AI, ethics, and climate action.
Prof Sharyn Rundle Thiele (Griffith University) shared insights on social marketing and listening
Prof Herman Tse (Monash University) presented on phygital service experiences
Dr Jeawon Kim and Prof Stephen Minas (United Nations) addressed AI, ethics, and climate action
Prof Rita Li, Director of the MSc in Financial Technology Management and co investigator of the conference, presented co authored research with Miss Blair Lu on second hand residential online marketing, using LLMs to analyze housing quality. Dr Siming Chen (2026 PhD in Economics graduate), and Miss Rachel Liao (2026 E&F graduate) also shared their findings, while Miss Mavis Li (PhD in Economics student) also joined the conference.
Prof Rita Li presented a paper regarding online marketing using generative AI
(from left to right) PhD in Economics student Miss Mavis Li, Prof Rita Li, and 2026 PhD in Economics graduate Dr Siming Chen
2026 E&F graduate Miss Rachel Liao presented her research
The conference was hosted by the Division of Business and Hospitality Management, School of Professional Education and Executive Development (SPEED), The Hong Kong Polytechnic University (PolyU). It was co organized by Prof Rita Li (also Director of Master of Science in Financial Technology Management and the Sustainable Real Estate Research Center at Hong Kong Shue Yan University), together with Tung Wah College, the Research Center for Green Business (RCGB), CIM Hong Kong, and the Asian Social Marketing Association. The University Grants Committee (UGC/IIDS24/B03/25) funded the project.