Data　resources,　a　fundamental　component　in　the　digital　economy,　play　a　vital　role　for　businesses　aiming　to　establish　a　lasting　competitive　edge.　A　company＇s　data　resources　can　uniquely　influence　the　decisions　surrounding　products　and　services　within　the　supply　chain.　The　integrated　dual-channel　supply　chain　(DCSC)　involves　direct　online　channels　utilized　by　manufacturing　service　providers　alongside　offline　channels,　such　as　physical　retail　stores,　managed　by　sales　service　integrators.　The　DCSC　is　capable　of　performing　second-stage　data　mining　services　in　accordance　with　the　sold　products　and　customer　services　after　the　product　sales　are　completed.　Subsequently,　data　resource　mining　can　be　achieved　through　a　cross-channel　approach.　As　such,　considering　the　exploration　of　cross-channel　data　resources,　this　study　strives　to　formulate　a　structure　for　a　dual-channel　closed-loop　supply　chain.　Furthermore,　utilizing　concepts　from　the　Stackelberg　and　Nash　equilibrium　game　theories,　it　delves　into　the　analysis　of　pricing　decisions　and　profit　allocation.　This　examination　encompasses　distinct　closed-loop　supply　chain　configurations,　viewed　through　the　lenses　of　both　centralized　and　decentralized　decision-making　approaches.　In　addition,　the　effects　of　cross-channel　data　mining　and　channel　consumption　preferences　on　supply　chain　decisions　are　analyzed,　and　the　analysis　is　conducted　in　combination　with　numerical　examples.　As　evidenced　by　the　findings　in　this　investigation,　cross-channel　data　resource　mining,　consumer　channel　preference,　and　the　data　mining　value　conversion　rate　can　prominently　affect　the　formulation　of　pricing　strategies　and　the　distribution　of　profits　in　closed-loop　supply　chains.　The　potential　value　of　data　resources　can　lead　to　the　generation　of　＇external　incentives＇　following　the　strategy　of　data　resource　mining.　Furthermore,　the　data　resource　mining　strategy　is　promising　in　stimulating　the　growth　of　the　product　and　service　markets.　Finally,　the　overall　profit　of　the　supply　chain　is　increased　with　the　increase　in　the　efficiency　of　data　resource　conversion.　Enhancements　in　the　efficacy　of　data　resource　conversion　correspondingly　lead　to　heightened　overall　profits　within　the　supply　chain.　©　2024　Elsevier　Ltd