IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v157y2022ics0960077922001485.html
   My bibliography  Save this article

Information sharing based on two-way perceptions of trust and supply chain decisions: A simulation based approach

Author

Listed:
  • Fu, Xiao
  • Tan, Hao
  • Tsenina, Ekaterina
  • Liu, Shuchun
  • Han, Guanghua

Abstract

Mutual trust between enterprises is regarded as the most important issue in the study of supply chain partnership. The main purpose is to find how trust affects supply chain decisions and to suggest a coordination contract to improve supply chain performance. The results show that the trust-based contract has positive effect on the long-term cooperation. Although high residual value products can earn more market revenue in the price discount contract, it does not stabilize the trust relationship among supply chain enterprises. Enterprises need to improve their ability to predict market demand in order to increase revenue and expand supply chain cooperation. As long as the manufacturer's forecast is more accurate, the discount strategy can not only improve supply chain performance, but also strengthen the trusts between supply chain partners.

Suggested Citation

  • Fu, Xiao & Tan, Hao & Tsenina, Ekaterina & Liu, Shuchun & Han, Guanghua, 2022. "Information sharing based on two-way perceptions of trust and supply chain decisions: A simulation based approach," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    • Handle: RePEc:eee:chsofr:v:157:y:2022:i:c:s0960077922001485
    DOI: 10.1016/j.chaos.2022.111938
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077922001485
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2022.111938?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Jianli & Liu, Liwen, 2006. "Supply chain coordination with quantity discount policy," International Journal of Production Economics, Elsevier, vol. 101(1), pages 89-98, May.
    2. Xiao Fu & Guanghua Han & Jiaxin Wang, 2019. "Trust‐based decisions in commission–agency relationships," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(5), pages 569-579, July.
    3. Guanghua Han & Ming Dong, 2015. "Trust-embedded coordination in supply chain information sharing," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5624-5639, September.
    4. Roberto Aringhieri & Ernesto Damiani & Sabine De Capitani Di Vimercati & Stefano Paraboschi & Pierangelo Samarati, 2006. "Fuzzy techniques for trust and reputation management in anonymous peer‐to‐peer systems," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(4), pages 528-537, February.
    5. Pezeshki, Yahya & Baboli, Armand & Cheikhrouhou, Naoufel & Modarres, Mohammad & Akbari Jokar, Mohammad R., 2013. "A rewarding-punishing coordination mechanism based on Trust in a divergent supply chain," European Journal of Operational Research, Elsevier, vol. 230(3), pages 527-538.
    6. Xiao Fu & Ming Dong & Guanghua Han, 2017. "Coordinating a trust-embedded two-tier supply chain by options with multiple transaction periods," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2068-2082, April.
    7. Özalp Özer & Yanchong Zheng & Kay-Yut Chen, 2011. "Trust in Forecast Information Sharing," Management Science, INFORMS, vol. 57(6), pages 1111-1137, June.
    Full references (including those not matched with items on IDEAS)

    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. Gao, Yongling & Driouchi, Tarik, 2018. "Accounting for ambiguity and trust in partial outsourcing: A behavioral real options perspective," Journal of Business Research, Elsevier, vol. 92(C), pages 93-104.
    2. Wei, Liqun & Zhang, Jianxiong & Zhu, Guowei, 2021. "Incentive of retailer information sharing on manufacturer volume flexibility choice," Omega, Elsevier, vol. 100(C).
    3. Xiao Fu & Guanghua Han, 2017. "Trust-Embedded Information Sharing among One Agent and Two Retailers in an Order Recommendation System," Sustainability, MDPI, vol. 9(5), pages 1-18, April.
    4. Guanghua Han & Ming Dong, 2017. "Sustainable Regulation of Information Sharing with Electronic Data Interchange by a Trust-Embedded Contract," Sustainability, MDPI, vol. 9(6), pages 1-22, June.
    5. Belhadi, Amine & Kamble, Sachin S. & Mani, Venkatesh & Venkatesh, V.G. & Shi, Yangyan, 2021. "Behavioral mechanisms influencing sustainable supply chain governance decision-making from a dyadic buyer-supplier perspective," International Journal of Production Economics, Elsevier, vol. 236(C).
    6. Panos Kouvelis & Wenhui Zhao, 2012. "Financing the Newsvendor: Supplier vs. Bank, and the Structure of Optimal Trade Credit Contracts," Operations Research, INFORMS, vol. 60(3), pages 566-580, June.
    7. Cao, Zong-Hong & Zhou, Yong-Wu & Zhao, Ju & Li, Chang-Wen, 2015. "Entry mode selection and its impact on an incumbent supply chain coordination," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 1-13.
    8. Sher, Mikhail M. & Kim, Seung-Lae & Banerjee, Avijit & Paz, Michael T., 2018. "A supply chain coordination mechanism for common items subject to failure in the electronics, defense, and medical industries," International Journal of Production Economics, Elsevier, vol. 203(C), pages 164-173.
    9. Lyudmyla Starostyuk & Kay-Yut Chen & Edmund L. Prater, 2023. "Do looks matter in supply chain contracting? An experimental study," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 58(1), pages 9-23, January.
    10. Yen Sheng Tsai & Wei-Hsi Hung, 2023. "A low-cost intelligent tracking system for clothing manufacturers," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 473-491, February.
    11. Sezer Ülkü & Chris Hydock & Shiliang Cui, 2022. "Social Queues (Cues): Impact of Others’ Waiting in Line on One’s Service Time," Management Science, INFORMS, vol. 68(11), pages 7958-7976, November.
    12. Sule Birim & Cigdem Sofyalioglu, 2017. "Evaluating vendor managed inventory systems: how incentives can benefit supply chain partners," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(1), pages 163-179, January.
    13. Hyoduk Shin & Tunay I. Tunca, 2010. "Do Firms Invest in Forecasting Efficiently? The Effect of Competition on Demand Forecast Investments and Supply Chain Coordination," Operations Research, INFORMS, vol. 58(6), pages 1592-1610, December.
    14. Susan A. Kayser & John W. Maxwell & Michael W. Toffel, 2014. "Supply chain screening without certification: The critical role of stakeholder pressure," Working Papers 2014-08, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    15. Nematollahi, Mohammadreza & Hosseini-Motlagh, Seyyed-Mahdi & Heydari, Jafar, 2017. "Coordination of social responsibility and order quantity in a two-echelon supply chain: A collaborative decision-making perspective," International Journal of Production Economics, Elsevier, vol. 184(C), pages 107-121.
    16. Lin Chen & Jin Peng & Zhibing Liu & Ruiqing Zhao, 2017. "Pricing and effort decisions for a supply chain with uncertain information," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 264-284, January.
    17. Lorko, Matej & Servátka, Maroš & Zhang, Le, 2023. "Hidden inefficiency: Strategic inflation of project schedules," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 313-326.
    18. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.
    19. Zhou, Yong-Wu & Min, Jie & Goyal, Suresh K., 2008. "Supply-chain coordination under an inventory-level-dependent demand rate," International Journal of Production Economics, Elsevier, vol. 113(2), pages 518-527, June.
    20. Ke Ma & Lichuan Wang & Yan Chen, 2017. "A Collaborative Cloud Service Platform for Realizing Sustainable Make-To-Order Apparel Supply Chain," Sustainability, MDPI, vol. 10(1), pages 1-21, December.

    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:eee:chsofr:v:157:y:2022:i:c:s0960077922001485. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.