IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v16y2023i10p459-d1264916.html
   My bibliography  Save this article

Effects of Revenue-Sharing Contracts and Overconfidence on Innovation for Key Components

Author

Listed:
  • Chengli Wei

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Hongzhuan Chen

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Yuanfei Kang

    (School of Management, Massey University, Auckland 0632, New Zealand)

Abstract

Revenue-sharing (RS) contracts are a common approach in incentivizing innovation of upstream suppliers by addressing the uneven profit distribution between upstream and downstream firms. Considering the possible overconfidence characterizing decision makers in the supply chain, we investigate the effect of the RS contract and the tendency of overconfidence of supply chain members on the investment in R&D of key components of products in the context of an upstream supplier that is a leader in the R&D and production of key components. We find that regardless of the bargaining power of either party, an RS contract can increase the R&D investment in key components. Regarding the effects of overconfidence of either the downstream manufacturer or upstream supplier, an RS contract can increase the R&D investment in key components. Supplier (manufacturer) overconfidence can harm their own profits but increase the profits of the manufacturer (supplier), and when the level of overconfidence is below a certain threshold, the damage to their own profits is less than the increase in each other’s profits, thus benefiting the whole supply chain. In addition, we also find a joint effect of RS contracts and overconfidence: when the bargaining power of the supplier is low, the RS contract has a certain compensatory effect on the loss of their own profits caused by overconfidence.

Suggested Citation

  • Chengli Wei & Hongzhuan Chen & Yuanfei Kang, 2023. "Effects of Revenue-Sharing Contracts and Overconfidence on Innovation for Key Components," JRFM, MDPI, vol. 16(10), pages 1-21, October.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:10:p:459-:d:1264916
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/16/10/459/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/16/10/459/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yenipazarli, Arda, 2017. "To collaborate or not to collaborate: Prompting upstream eco-efficient innovation in a supply chain," European Journal of Operational Research, Elsevier, vol. 260(2), pages 571-587.
    2. Aydin, Ayhan & Parker, Rodney P., 2018. "Innovation and technology diffusion in competitive supply chains," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1102-1114.
    3. Kirshner, Samuel Nathan & Shao, Lusheng, 2019. "The overconfident and optimistic price-setting newsvendor," European Journal of Operational Research, Elsevier, vol. 277(1), pages 166-173.
    4. Chen, Jen-Yi & Dimitrov, Stanko & Pun, Hubert, 2019. "The impact of government subsidy on supply Chains’ sustainability innovation," Omega, Elsevier, vol. 86(C), pages 42-58.
    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. Du, Xianjin & Zhan, Huimin & Zhu, Xiaoxuan & He, Xiuli, 2021. "The upstream innovation with an overconfident manufacturer in a supply chain," Omega, Elsevier, vol. 105(C).
    2. Yu, Yanan & He, Yong & Zhao, Xuan, 2021. "Impact of demand information sharing on organic farming adoption: An evolutionary game approach," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. 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.
    4. Wang, Jingqi & Shin, Hyoduk & Zhou, Qin, 2021. "The optimal investment decision for an innovative supplier in a supply chain," European Journal of Operational Research, Elsevier, vol. 292(3), pages 967-979.
    5. Liang Shen & Runjie Fan & Yuyan Wang & Zhaoqing Yu & Rongyun Tang, 2020. "Impacts of Environmental Regulation on the Green Transformation and Upgrading of Manufacturing Enterprises," IJERPH, MDPI, vol. 17(20), pages 1-14, October.
    6. Hong Zhang & Paul Georgescu, 2022. "Sustainable Organic Farming, Food Safety and Pest Management: An Evolutionary Game Analysis," Mathematics, MDPI, vol. 10(13), pages 1-17, June.
    7. 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.
    8. Shen, Bin & Xu, Xiaoyan & Chan, Hau Ling & Choi, Tsan-Ming, 2021. "Collaborative innovation in supply chain systems: Value creation and leadership structure," International Journal of Production Economics, Elsevier, vol. 235(C).
    9. Jin, Wei & Yang, Jun & Wang, Chengfu, 2024. "Cost subsidy or environmental regulation? The effects of government interventions on environmental quality and 3BL performance," International Journal of Production Economics, Elsevier, vol. 270(C).
    10. Mukherjee, Arka & Carvalho, Margarida, 2021. "Dynamic decision making in a mixed market under cooperation: Towards sustainability," International Journal of Production Economics, Elsevier, vol. 241(C).
    11. Babagolzadeh, Mahla & Zhang, Yahua & Abbasi, Babak & Shrestha, Anup & Zhang, Anming, 2022. "Promoting Australian regional airports with subsidy schemes: Optimised downstream logistics using vehicle routing problem," Transport Policy, Elsevier, vol. 128(C), pages 38-51.
    12. Jun-bin Wang & Lufei Huang, 2021. "A Game-Theoretic Analytical Approach for Fostering Energy-Saving Innovation in the Electric Vehicle Supply Chain," SAGE Open, , vol. 11(2), pages 21582440211, June.
    13. Xia, Jing & Zheng, Yan & Yang, Lehe & Xiao, Yujie, 2024. "Government intervention in green technology innovation: The carrot, the stick or both?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    14. Xu, Hao & Chen, Liuxin & Ma, Lijun, 2024. "Supply chain product innovation and marketing strategies under different fairness concerns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    15. Luqing Rong & Maozeng Xu, 2022. "Impact of Altruistic Preference and Government Subsidy on the Multinational Green Supply Chain under Dynamic Tariff," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1928-1958, February.
    16. Hu, Jing & Hu, Qiying & Xia, Yusen, 2019. "Who should invest in cost reduction in supply chains?," International Journal of Production Economics, Elsevier, vol. 207(C), pages 1-18.
    17. Xianliang Shi & Genzhu Li & Ciwei Dong & Yefei Yang, 2020. "Value Co-Creation Behavior in Green Supply Chains: An Empirical Study," Energies, MDPI, vol. 13(15), pages 1-26, July.
    18. Wenli Wang & Ruizhen Zhang, 2022. "Green Supply Chain Operations Decision and Government Subsidy Strategies under R & D Failure Risk," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    19. Hua, Jiawen & Wang, Kai & Lin, Jun & Qian, Yanjun, 2024. "Carbon Tax vs. Carbon Cap-and-Trade: Implementation of carbon border tax in cross-regional production," International Journal of Production Economics, Elsevier, vol. 274(C).
    20. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).

    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:jjrfmx:v:16:y:2023:i:10:p:459-:d:1264916. 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.