Purpose:　In　the　context　of　open　innovation,　more　and　more　enterprises　are　leveraging　innovation　networks　to　drive　disruptive　innovation　performance,　but　there　is　no　consensus　on　the　relationship　between　network　embeddedness　and　enterprise　disruptive　innovation　performance.　This　paper　aims　to　systematically　explore　the　relationship　between　them.　Design/methodology/approach:　This　paper　constructs　a　multi-level　network　embeddedness　model　and　uses　58　independent　studies　as　samples　to　explore　the　relationship　between　multi-level　network　embeddedness　and　enterprise　disruptive　innovation　performance　by　meta-analysis.　Findings:　First,　network　embeddedness　at　the　enterprise　and　regional　levels　will　promote　the　improvement　of　disruptive　innovation　performance.　Although　industrial　relationship　embeddedness　will　promote　the　improvement　of　disruptive　innovation　performance,　its　structural　embeddedness　will　bring　negative　effects.　Second,　in　terms　of　mediating　effect,　policy-oriented　support　will　promote　the　relationship　between　network　embeddedness　and　disruptive　innovation　performance　at　the　enterprise　and　industry　levels.　Compared　with　large　enterprises,　small-　and　medium-sized　enterprises　will　have　more　advantages　in　the　performance　of　multi-level　network　embedding　and　disruptive　innovation　performance.　Under　the　subjective　performance　measurement　method,　the　promotion　effect　of　multi-level　network　embedding　is　more　prominent.　Research　limitations/implications:　This　study　enriches　the　theoretical　research　of　network　embeddedness　and　disruptive　innovation　and　provides　management　enlightenment　for　the　network　embeddedness　strategy　of　enterprise　disruptive　innovation.　Limited　by　data　samples　and　article　length,　future　research　can　further　expand　literature　samples　to　test　the　stability　of　variable　relationships　and　test　the　moderating　effects　of　more　internal　and　external　factors.　Originality/value:　First,　it　constructs　a　theoretical　analysis　model　of　“point-line-surface”　multi-level　network　embedding　and　disruptive　innovation　performance　of　enterprises　and　expands　the　theoretical　analysis　framework　of　network　embedding　and　disruptive　innovation　performance.　The　second　is　to　explore　the　influence　mechanism　of　multi-level　network　embeddedness　and　enterprise　disruptive　innovation　performance.　Third,　it　deepens　the　theoretical　understanding　of　the　moderating　variables　of　the　impact　of　network　embeddedness　and　enterprise　disruptive　innovation　performance.　©　2024,　Emerald　Publishing　Limited.