Abstract: 【Purpose/significance】Knowledge continuance contribution is crucial for information and knowledge generation, data value
creation, healthy development of platform. It is necessary to conduct meta-analysis to address the inconsistencies in the results of on?
line knowledge sharing continuance intention.【Method/process】In this paper, 63 research literatures were included, and 167 indepen? dent effect values corresponding to 10 antecedent variables and 6 regulatory variables of affecting online knowledge sharing continu? ance intention were selected for meta-analysis.【Result/conclusion】Altruism (r=0.545), emotional value (r=0.531), community identity (r=0.517), expectation confirmation (r=0.513), reciprocity norms (r=0.503), knowledge self-efficacy (r=0.485), interpersonal trust (r=0.483), social interaction (r=0.446), reputation promotion (r=0.411) and extrinsic reward (r=0.309) had significant positive effects on online knowledge sharing continuance intention. Gender, age, data collection channel, research platform, duration of platform use and scale grade moderated the relationship between the above 10 variables and online knowledge sharing continuance intention.【Innova?tion/limitation】The mechanism of online knowledge sharing continuance intention influencing factors is clarified and more general con? clusions were obtained. Some research variables are combined according to the principle of similar measurement items, which can not provide more accurate overall estimation results.