[Purpose/significance] This paper aims to explore the interactive impact of information generated by multiple entities on purchasing behaviors of resource demanders on the shared service platform, so as to facilitate the recovery and sustainable development of sharing economy in the post-epidemic era.[Method/process] Based on the signal theory, combining information features generated by multiple-agents, this paper constructed a configuration model of users' purchasing behaviors of information-oriented decision-making sharing service platform. Taking the sharing accommodation platform as an example, this paper used Python to crawl Chengdu's shared housing data on the Airbnb platform, and used the fuzzy set qualitative comparative analysis (fsQCA) to identify the configuration effect of information generated by multiple entities on users' purchasing behaviors.[Result/conclusion] The results show that there are three equivalent paths encouraging users' purchase behavior, and among which there is one necessary condition. There are also three combinations of information characteristics that discourage the purchasing behaviors of sharing platform users, and among which there is one necessary condition. The findings confirmed that the path leading to users' purchasing behaviors and the path of non-purchasing behaviors are not the opposite.
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