Author(s)

Liying Chen^*, Ziqi Wang, Hongli Pang

Economics and Management College, Shanghai Maritime University, Shanghai, China.

Place branding is undergoing substantial transformations fueled by Artificial Intelligence (AI) technology. Effective Collaborative AI could build up a synergy between men and machines to achieve goals. Collaborative AI enabled place branding (CAIEPB) has profound implications and draws attention from scholars, practitioners and consumers for various tourism destinations to delineate place complexity. Based on hybrid-narrative review, we identified 7 key research themes-the origin, definition, technology affordance, spatiotemporal changing patterns, antecedents and formation mechanism, outcomes and impact mechanism, and research method of CAIEPB. The review of 207 studies provided a holistic view of future research directions from seven dimensions. Building on the Stimulus-Organism-Response (S-O-R) framework, we proposed an integrated theoretical model of Stimulus-Organism-Response-Moderating (S-O-R-M) to synthesize CAIEPB literature, which would shed light on more fruitful theories and move diverse venues in research and application forward.

Collaborative Artificial Intelligence (AI), Place Branding, Collaborative AI Enabled Place Branding (CAIEPB), Affordance, S-O-R-M Framework

Chen, L. , Wang, Z. and Pang, H. (2024) Collaborative AI Enabled Place Branding: A Hybrid-Narrative Review and Prospects for Future Research. Open Journal of Social Sciences, 12, 536-566. doi: 10.4236/jss.2024.124037.