Blockchain　has　been　widely　used　to　trace　logistics　information　from　sources　to　destinations　in　shipping　logistics　practices.　Motivated　by　market　practices,　this　study　intends　to　discuss　the　potential　application　value　of　blockchain　platforms　in　shipping　logistics,　considering　the　perceived　utility　of　consumers.　For　this　purpose,　to　investigate　the　shipping　logistics　supply　chain　(SLSC)　of　a　shipping　company　(SC)　and　a　freight　forwarding　company　(FFC),　in　which　FFC　decides　whether　to　introduce　a　blockchain　platform　and　its　introduction　channel.　Specifically,　three　channel　models　are　considered:　Model　T　(i.e.,　traditional　logistics　supply　chain　channel),　Model　B　(i.e.,　FFCs　applied　a　blockchain　platform　via　a　self-built　platform　channel),　and　Model　J　(i.e.,　FFCs　applied　a　blockchain　platform　via　joining　a　third-party　platform　channel).　Meanwhile,　the　Nash　and　Stackelberg　game　are　used　to　characterize　the　companies＇　equilibrium　outcomes　under　different　power　structures.　By　comparing　these　three　modes,　some　interesting　results　are　found:　consumer　perception　of　the　level　of　service　and　privacy　protection　and　consumer　sensitivity　to　price　has　critical　effects　on　the　value　of　blockchain　platforms.　Results　also　show　that　the　blockchain　platform　does　not　always　motivate　the　members　of　the　SLSC　to　become　better.　Whether　the　power　structure　is　symmetrical　or　asymmetrical,　FFC　adopts　Model　B　instead　of　Model　J,　in　which　the　blockchain　platform　can　help　FFC　increase　profits,　and　the　value　of　blockchain　is　significant.　Moreover,　the　FFC　can　obtain　at　least　approximately　78%　more　benefit　when　the　power　structure　is　symmetrical　than　asymmetrical.　However,　the　value　of　blockchain　platforms　to　SC　is　not　necessarily　significant.　The　value　of　the　blockchain　platform　for　SC　is　significant　only　in　Model　B　with　the　power　structure　asymmetric.　Therefore,　the　value　of　the　blockchain　platform　in　Model　B　with　the　power　structure　asymmetrical　for　both　FFCs　and　SCs　is　significant,　achieving　a　win-win　situation.　Also,　an　extensive　numerical　analysis　showing　the　optimal　channel　strategy　in　the　three　models　generated　additional　management　insights.