Establishing　an　innovation　ecosystem　revitalizes　enterprises　by　fostering　collaboration　with　other　entities　within　the　system.　This　collaboration　results　in　increased　resources　for　innovation　and　development,　further　strengthening　participants＇　innovation　and　survival　capacities.　As　the　existing　literature　on　collaborative　innovation　behavior　within　innovation　ecosystems　is　relatively　limited,　the　primary　objective　of　this　study　is　to　investigate　the　evolutionary　process　and　impact　factors　of　players＇　collaborative　innovation　behavior　in　the　enterprise　innovation　ecosystem　(EIE).　This　study　establishes　an　evolutionary　game　(EG)　model　that　includes　three　players　in　an　EIE　to　analyze　their　collaborative　innovation　behaviors　in　scenarios　where　their　initial　strategic　probabilities　are　low,　medium,　and　high.　The　simulation　results　indicate　the　existence　of　six　potential　evolutionary　stable　strategies　(ESSs)　within　the　system.　The　ideal　ESS　identified　in　this　three-party　evolutionary　game　model　is　characterized　by　＂active　collaboration,　active　collaboration,　participation＂.　Furthermore,　the　player＇s　behaviors　in　different　states　are　affected　by　initial　probability,　synergy　sensitivity,　transformation　efficiency,　output　elasticity,　subsidy,　punishment,　and　public　impact.　The　results　of　this　study　reveal　the　mechanism　of　collaborative　innovation　behavior　among　different　players　in　the　EIE,　providing　beneficial　references　for　its　sustainable　development.