Open Access
RAIRO-Oper. Res.
Volume 58, Number 1, January-February 2024
Page(s) 281 - 301
Published online 08 February 2024
  • R. Accorsi, A. Gallo and R. Manzini, A climate driven decision-support model for the distribution of perishable products. J. Cleaner Prod. 165 (2017) 917–929. [CrossRef] [Google Scholar]
  • H. Allaoui, Y.H. Guo and J. Sarkis, Decision support for collaboration planning in sustainable supply chains. J. Cleaner Prod. 229 (2019) 761–774. [CrossRef] [Google Scholar]
  • Q.G. Bai, M.Y. Chen and L. Xu, Revenue and promotional cost-sharing contract versus two-part tariff contract in coordinating sustainable supply chain systems with deteriorating items. Int. J. Prod. Econ. 187 (2017) 85–101. [Google Scholar]
  • Z. Basiri and J. Heydari, A mathematical model for green supply chain coordination with substitutable products. J. Cleaner Prod. 145 (2017) 232–249. [CrossRef] [Google Scholar]
  • G.P. Cachon and M. Fisher, Supply chain inventory management and the value of shared information. Manage. Sci. 46 (2000) 1032–1048. [CrossRef] [Google Scholar]
  • B. Dan, S.X. Ma, M.L. Liu, Y. Tian and T. Lei, Information sharing in the fresh produce supply chain with 3PL’s fresh-keeping effort. Chin. J. Manage. Sci. (2022). [Google Scholar]
  • R. Dominguez, S. Cannella, B. Ponte and J.M. Framinan, Information sharing in decentralised supply chains with partial collaboration. Flexible Serv. Manuf. J. 34 (2022) 263–292. [CrossRef] [Google Scholar]
  • Z.P. Du and Y.X. Qu, Research on information cooperation mechanism of cross border e-commerce logistics alliance based on tripartite evolutionary game. Chin. J. Manage. Sci. 1 (2021) 1–12. [Google Scholar]
  • F.Q. Han, Research on Railway Technical Regulations Collaborative Management Mechanism Based on Whole Process. Beijing Jiaotong University, Beijing (2022). [Google Scholar]
  • W. He, Application of big data in strategic management of manufacturing enterprises. J. Liaoning Univ. (Philos. Soc. Sci.) 48 (2020) 76–81. [Google Scholar]
  • R. Kaipia, I. Dukovska-Popovska and L. Loikkanen, Creating sustainable fresh food supply chains through waste reduction. Int. J. Phys. Distrib. Logistics Manage. 43 (2013) 262–276. [CrossRef] [Google Scholar]
  • P. Kyoungjun and O. Jongho, A study on development of BIM-based collaboration support tool using open source. Korean Soc. Sci. Art 38 (2020) 153–164. [CrossRef] [Google Scholar]
  • H.L. Lee, K.C. So and C.S. Tang, The value of information sharing in a two-level supply chain. Manage. Sci. 46 (2000) 626–643. [CrossRef] [Google Scholar]
  • R.H. Li and J. Teng, Pricing and lot-sizing decisions for perishable goods when demand depends on selling price, product freshness, and displayed stocks. Eur. J. Oper. Res. 270 (2018) 1099–1108. [CrossRef] [Google Scholar]
  • Y.H. Li, H. Xu and Y. Zhao, Evolutionary game analysis of information sharing in fresh product supply chain. Discrete Gynamics Nat. Soc. 2021 (2021) 6683728. [Google Scholar]
  • M.Y. Li, C.M. Wang and Y.X. Zhu, Innovation mechanism and path of fresh food supply chain in the era of digital economy. J. Bus. Econ. 11 (2021) 21–33. [Google Scholar]
  • Y.P. Liu, B. Yan and X.X. Chen, Coordination of dual-channel supply chains with uncertain demand information. Int. J. Prod. Res. 52 (2014) 6792–6818. [CrossRef] [Google Scholar]
  • J.G. Liu, Y.B. Lyu, J.J. Wu and J.J. Wang, Adoption strategies of carbon abatement technologies in the maritime supply chain: impact of demand information sharing. Int. J. Logistics Res. App. (2022). DOI: 10.1080/13675567.2022.2115025. [Google Scholar]
  • Q.F. Luo and L.X. Zhang, Theoretical interpretation and realization path of the high-quality development of agricultural cold chain logistics. Chin. Bus. Market 11 (2021) 3–11. [Google Scholar]
  • L. Lusiantoro, N. Yates, C. Mena and L. Varga, A refined framework of information sharing in perishable product supply chains. Int. J. Phys. Distrib. Logistics Manage. 48 (2018) 254–283. [CrossRef] [Google Scholar]
  • J. Ma, Y.K. Zhang and H.Y. Pu, Information collaboration: connotation, concept and research progress. Inf. Stud. Theory App. 41 (2018) 12–19. [Google Scholar]
  • X.L. Ma, Y. Zhao, Q.G. Bai and H.G. Bo, Optimal strategies and coordination of three-echelon cold chain of fresh products considering freshness-keeping and carbon abatement. Chin. J. Manage (2021). [Google Scholar]
  • F. Panahifar, P.J. Byrne, M.A. Salam and C. Heavey, Supply chain collaboration and firm’s performance the critical role of information sharing and trust. J. Enterp. Inf. Manage. 31 (2018) 358–379. [CrossRef] [Google Scholar]
  • M. Shuklaand and S. Jharkharia, Agri-fresh produce supply chain management: a state-of-the-art literature review. Int. J. Oper. Prod. Manage. 33 (2013) 114–158. [CrossRef] [Google Scholar]
  • L. Tai and X.F. Liu, Impact of information sharing of regional ecological supply chain on carbon emission. J. Environ. Prot. Ecol. 21 (2020) 366–375. [Google Scholar]
  • D.P. Wang, M.Y. Zhu and T.T. Wang, Research on the cost sharing contract of fresh-product supply chain’s fresh-keeping efforts considering time constraint. Ind. Eng. Manage. (2019). [Google Scholar]
  • D.P. Wang, M.Y. Zhu and T.T. Wang, Research on the cost sharing contract of fresh-product supply chain’s fresh-keeping efforts. Ind. Eng. Manage. 25 (2020) 36–43. [Google Scholar]
  • C. Wang, K. Lang, L. Zhu and L.X. Shen, Information sharing decision of “company+farmer” contract farming supply chain. Ind. Eng. Manage. 25 (2020) 191–198. [Google Scholar]
  • J. Wu, W.P. Jia, Y.L. Ba, X. Liu, Y.B. Zhang and J. Li, Coordination mechanism of the three-echelon supply chain of fresh agriproduct with joint efforts. Front. Sustainable Food Syst. 7 (2023) 1045770. [CrossRef] [Google Scholar]
  • K.F. Xu, Y. Dung and Y. Xia, “Too Little” or “Too Late”: the timing of supply chain demand collaboration. Eur. J. Oper. Res. 241 (2015) 370–380. [CrossRef] [Google Scholar]
  • X.C. Yang and Y.Q. Li, Study on the willingness of sharing multi-agent data of supply chain from the perspective of blockchain technology. Sci. Technol. Manage. Res. 23 (2021) 181–192. [Google Scholar]
  • Y. Yang and G.X. Yao, Fresh agricultural products supply chain coordination considering consumers’ dual preferences under carbon cap-and-trade mechanism. J. Ind. Manage. Optim. 19 (2023) 2071–2090. [CrossRef] [Google Scholar]
  • Y. Yang, T.J. Fan and L. Zhang, Coordination of fresh agricultural supply chain with asymmetric freshness information. Chin. J. Manage. Sci. 24 (2016) 147–155. [Google Scholar]
  • L. Yang, J.N. Ji, M.Z. Wang and Z.Z. Wang, The manufacturer’s joint decisions of channel selections and carbon emission reductions under the cap-and-trade regulation. J. Cleaner Prod. 193 (2018) 506–523. [CrossRef] [Google Scholar]
  • M. Yu and E.B. Cao, Strategic information sharing and competition under cap-and-yrade regulation. Ind. Manage. Data Syst. 119 (2019) 639–655. [CrossRef] [MathSciNet] [Google Scholar]
  • Y.G. Yu, S.J. Zhou and Y. Shi, Information sharing or not across the supply chain: the role of carbon emission reduction. Transp. Res. Part E-Logistics Transp. Rev. 137 (2020) 101915. [CrossRef] [Google Scholar]
  • Y. Zhang, Research on State Audit Involvement in PPP Model Governance. Dongbei University of Finance and Economics, Dalian (2022). [Google Scholar]
  • Z.W. Zhang, Y.J. Xue, J.X. Li, L.M. Gongand and L. Wang, Supply chain logistics information collaboration strategy based on evolutionary game theory. IEEE Access 8 (2020) 46102–46120. [CrossRef] [Google Scholar]
  • X. Zhang, J. Song, L.Y. Shi, F. Zhang, W.H. Wang and H.T. Liu, Collaboration for digital manufacturing of high-end equipment in the era of new-generation information technology environment. J. Manage. World 39 (2023) 190–204. [Google Scholar]
  • L.N. Zhou, G.G. Zhou, F.Z. Qi and H.Y. Li, Research on coordination mechanism for fresh agri-food supply chain with option contracts. Kybernetes 48 (2019) 1134–1156. [CrossRef] [Google Scholar]

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