Abstract: 【Purpose/significance】This study takes the knowledge adoption behavior of researchers in the application of generative arti‑ ficial intelligence as the research object, systematically and comprehensively identifies the key influencing factors and clears the hier‑ archical relationship and correlation path among the factors.【Method/process】Through meta-ethnography combined with qualitative interview method, factors influencing knowledge adoption behavior of researchers in the application of generative artificial intelligence were analyzed. Based on total quality management theory, 22 influencing factors were divided into five dimensions: individual, technol‑ ogy, knowledge, organization and society, and 11 key influencing factors were identified using fuzzy DEMATEL method. The ISM model is used to divide the influencing factors and analyze the correlation path【. Result/conclusion】It is found that among the 11 key factors, knowledge matching is the root factor that affects the knowledge adoption behavior of researchers in the application of genera‑ tive artificial intelligence, and demand and motivation, acceptance degree of new technology and knowledge content are the most direct factors that affect the knowledge adoption behavior of researchers in the application of generative artificial intelligence.【Innovation/ limitation】This paper takes researchers as the research object and studies the key influencing factors of knowledge adoption behavior in the application of generative artificial intelligence from five dimensions, which is innovative to a certain extent. But it is inevitably subjective when extracting the influencing factors. In the future, the influencing factors can be further quantified and the effects of each influencing factor can be measured concretely.