IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i10p6261-d820446.html
   My bibliography  Save this article

Contract Design of Logistics Service Supply Chain Based on Smart Transformation

Author

Listed:
  • Hao Liu

    (School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China)

  • Haodong Chen

    (E-Commence and Logistics Management College, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Hengyi Zhang

    (E-Commence and Logistics Management College, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Haibin Liu

    (School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China)

  • Xingwang Yu

    (School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China)

  • Shiqing Zhang

    (School of Management Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China)

Abstract

A logistics service integrator (LSI) usually requires a logistics service provider (LSP) to carry out smart transformation in order to improve the level of logistics service. However, LSP’s smart transformation faces uncertainty in terms of investments and income, which seriously hinders LSP’s enthusiasm for logistics service innovation. In this paper, we construct a logistics service supply chain (LSSC) consisting of an LSI and an LSP to explore the incentive mechanism for LSPs to undergo smart transformation. As a benchmark for comparison, we first obtain the equilibrium results under centralized decision making and wholesale price (WP) contracts. Then, cost-sharing (CS), revenue-sharing (RS), and cost sharing–revenue sharing (CS-RS) hybrid contracts are proposed. It is found that when the CS coefficient is in a certain interval, the CS contract can increase the profit of LSI and the smart level of logistics service, but it will decrease the profit of LSP. With the exception that the wholesale price of logistics services will decrease, the equilibrium results under the RS contract and WP contract remain consistent. Only the CS-RS hybrid contract can achieve the perfect coordination of LSSC. In addition, by conducting numerical analysis, we find that the enhancement of the smart effect can encourage LSP to improve the smart level and increase the overall revenue of LSSC. To the best of our knowledge, this paper is the first study to explore the incentive mechanism between LSI and LSP in the context of logistics service smart transformation. Our findings guide the LSI in implementing an effective contract.

Suggested Citation

  • Hao Liu & Haodong Chen & Hengyi Zhang & Haibin Liu & Xingwang Yu & Shiqing Zhang, 2022. "Contract Design of Logistics Service Supply Chain Based on Smart Transformation," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6261-:d:820446
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/10/6261/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/10/6261/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weihua Liu & Xuan Zhao & Runze Wu, 2015. "Revenue-Sharing Contract Models for Logistics Service Supply Chains with Mass Customization Service," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-21, September.
    2. Xie, Lei & Hou, Pengwen & Han, Hongshuai, 2021. "Implications of government subsidy on the vaccine product R&D when the buyer is risk averse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    3. Ningning Wang & Zhi-Ping Fan & Xiaohuan Wang, 2016. "Channel Coordination in Logistics Service Supply Chain considering Fairness," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-15, April.
    4. Weimin Ma & Ranran Zhang & Shiwei Chai, 2019. "What Drives Green Innovation? A Game Theoretic Analysis of Government Subsidy and Cooperation Contract," Sustainability, MDPI, vol. 11(20), pages 1-24, October.
    5. Liu, Xiaotong & Zhang, Kai & Chen, Bokui & Zhou, Jun & Miao, Lixin, 2018. "Analysis of logistics service supply chain for the One Belt and One Road initiative of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 23-39.
    6. Lei Xie & Junhai Ma & Mark Goh, 2021. "Supply chain coordination in the presence of uncertain yield and demand," International Journal of Production Research, Taylor & Francis Journals, vol. 59(14), pages 4342-4358, July.
    7. repec:bla:jindec:v:49:y:2001:i:3:p:223-45 is not listed on IDEAS
    8. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    9. Liu, Weihua & Wang, Qian & Mao, Qiaomei & Wang, Shuqing & Zhu, Donglei, 2015. "A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 189-215.
    10. Ghosh, Debabrata & Shah, Janat, 2015. "Supply chain analysis under green sensitive consumer demand and cost sharing contract," International Journal of Production Economics, Elsevier, vol. 164(C), pages 319-329.
    11. Liu, Weihua & Wang, Yijia, 2015. "Quality control game model in logistics service supply chain based on different combinations of risk attitude," International Journal of Production Economics, Elsevier, vol. 161(C), pages 181-191.
    12. James D. Dana, Jr. & Kathryn E. Spier, 2001. "Revenue Sharing and Vertical Control in the Video Rental Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(3), pages 223-245, September.
    13. Liu, Weihua & Liu, Yang & Zhu, Donglei & Wang, Yijia & Liang, Zhicheng, 2016. "The influences of demand disruption on logistics service supply chain coordination: A comparison of three coordination modes," International Journal of Production Economics, Elsevier, vol. 179(C), pages 59-76.
    14. Liu, Weihua & Wang, Di & Shen, Xinran & Yan, Xiaoyu & Wei, Wanying, 2018. "The impacts of distributional and peer-induced fairness concerns on the decision-making of order allocation in logistics service supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 102-122.
    15. Chauhan, Satyaveer S. & Gordon, Valery & Proth, Jean-Marie, 2007. "Scheduling in supply chain environment," European Journal of Operational Research, Elsevier, vol. 183(3), pages 961-970, December.
    16. Niu, Baozhuang & Dai, Zhipeng & Liu, Yaoqi & Jin, Yong, 2022. "The role of Physical Internet in building trackable and sustainable logistics service supply chains: A game analysis," International Journal of Production Economics, Elsevier, vol. 247(C).
    17. Yuyan Wang & Zhaoqing Yu & Liang Shen, 2019. "Study on the decision-making and coordination of an e-commerce supply chain with manufacturer fairness concerns," International Journal of Production Research, Taylor & Francis Journals, vol. 57(9), pages 2788-2808, May.
    18. Mahdi Nasrollahi & Mohammad Reza Fathi & Naghmeh Sheikh Hassani, 2020. "Eco-innovation and cleaner production as sustainable competitive advantage antecedents: the mediating role of green performance," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 22(3), pages 388-407.
    19. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    20. Shuna Wang & Zhi-Hua Hu, 2021. "Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments," Sustainability, MDPI, vol. 13(14), pages 1-32, July.
    21. Terry A. Taylor, 2002. "Supply Chain Coordination Under Channel Rebates with Sales Effort Effects," Management Science, INFORMS, vol. 48(8), pages 992-1007, August.
    22. Leng, Mingming & Parlar, Mahmut, 2010. "Game-theoretic analyses of decentralized assembly supply chains: Non-cooperative equilibria vs. coordination with cost-sharing contracts," European Journal of Operational Research, Elsevier, vol. 204(1), pages 96-104, July.
    23. Xie, Yue & Tai, Allen H. & Ching, Wai-Ki & Siu, Tak-Kuen, 2016. "Pricing strategy for a two-echelon supply chain with optimized return effort level," International Journal of Production Economics, Elsevier, vol. 182(C), pages 185-195.
    24. Chu, Leon Yang & Sappington, David E.M., 2009. "Procurement contracts: Theory vs. practice," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 51-59, January.
    25. Haifeng Zhao & Bin Lin & Wanqing Mao & Yang Ye, 2014. "Differential Game Analyses of Logistics Service Supply Chain Coordination by Cost Sharing Contract," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-10, April.
    26. Seokgi Lee & Yuncheol Kang & Vittaldas V. Prabhu, 2016. "Smart logistics: distributed control of green crowdsourced parcel services," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 6956-6968, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guangmei Cao & Yuesen Wang & Honghu Gao & Hao Liu & Haibin Liu & Zhigang Song & Yuqing Fan, 2023. "Coordination Decision-Making for Intelligent Transformation of Logistics Services under Capital Constraint," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    2. Xu Xu & Chan He, 2022. "The Effects of Network Structure Attributes on Growth Performance of Logistics Service Integrators in Logistics Service Supply Chain: Empirical Evidence," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    3. Guangsheng Zhang & Xiao Wang & Yu Zhang & Jiayun Kang, 2022. "Research on the Emission Reduction Decision of Cost-Sharing Logistics Service Supply Chain in the O2O Model," Sustainability, MDPI, vol. 14(20), pages 1-21, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guangmei Cao & Yuesen Wang & Honghu Gao & Hao Liu & Haibin Liu & Zhigang Song & Yuqing Fan, 2023. "Coordination Decision-Making for Intelligent Transformation of Logistics Services under Capital Constraint," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    2. Lou, Yaqi & Feng, Lipan & He, Shuguang & He, Zhen & Zhao, Xiukun, 2020. "Logistics service outsourcing choices in a retailer-led supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    3. Shuna Wang & Zhi-Hua Hu, 2021. "Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments," Sustainability, MDPI, vol. 13(14), pages 1-32, July.
    4. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    5. Liyuan Zhu & Nan Liu, 2023. "Game theoretic analysis of logistics service coordination in a live-streaming e-commerce system," Electronic Commerce Research, Springer, vol. 23(2), pages 1049-1087, June.
    6. Syed Asif Raza, 2022. "A bibliometric analysis of pricing models in supply chain," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 228-251, April.
    7. Lütkemeyer, Daniel & Heese, H. Sebastian & Wuttke, David A., 2021. "Overcoming inefficiencies in the development of personalized medicine," European Journal of Operational Research, Elsevier, vol. 290(1), pages 278-296.
    8. Li, Guo & Li, Lin & Sun, Jiasen, 2019. "Pricing and service effort strategy in a dual-channel supply chain with showrooming effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 32-48.
    9. Hongyan Wang & Min Huang & Hongfeng Wang, 2022. "Fourth-Party Logistics Environmental Compliance Management: Investment and Logistics Audit," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    10. Jili Kong & Ziyu Chen & Xiaoping Liu, 2022. "A Review of Logistics Pricing Research Based on Game Theory," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    11. Fuqiang Lu & Liying Wang & Hualing Bi & Zichao Du & Suxin Wang, 2021. "An Improved Revenue Distribution Model for Logistics Service Supply Chain Considering Fairness Preference," Sustainability, MDPI, vol. 13(12), pages 1-30, June.
    12. Jun Zhao, 2022. "Will the community O2O service supply channel benefit the elderly healthcare service supply chain?," Electronic Commerce Research, Springer, vol. 22(4), pages 1617-1650, December.
    13. Ren, Shuyun & Choi, Tsan-Ming & Lee, Ka-Man & Lin, Lei, 2020. "Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    14. Siqin, Tana & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Optimal E-tailing channel structure and service contracting in the platform era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    15. Deyan Yang & Jinyong Wang & Dongping Song, 2019. "Channel Structure Strategies of Supply Chains with Varying Green Cost and Governmental Interventions," Sustainability, MDPI, vol. 12(1), pages 1-26, December.
    16. Wang, Moran & Guo, Xiaolong & Wang, Shouyang, 2022. "Financial hedging in two-stage sustainable commodity supply chains," European Journal of Operational Research, Elsevier, vol. 303(2), pages 803-818.
    17. Mei, Qihuang & Li, Jianbin & Ursavas, Evrim & Zhu, Stuart X. & Luo, Xiaomeng, 2021. "Freight transportation planning in platform service supply chain considering carbon emissions," International Journal of Production Economics, Elsevier, vol. 240(C).
    18. Wang, Qiang & Wu, Jie & Zhao, Nenggui, 2022. "Optimal operational policies of a dual-channel supply chain considering return service," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 199(C), pages 414-437.
    19. Ya-Jun Cai & Yingjia Wang & Juzhi Zhang, 2020. "Enhancing e-platform business by customer service systems: a multi-methodological case study on Ali Wangwang instant message’s impacts on TaoBao," Annals of Operations Research, Springer, vol. 291(1), pages 59-81, August.
    20. Weihua Liu & Shangsong Long & Yanjie Liang & Jinkun Wang & Shuang Wei, 2023. "The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation," Annals of Operations Research, Springer, vol. 324(1), pages 893-935, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6261-:d:820446. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.