Guo Wenqiang, Liang Yunze, Lei Ming
School of Information Management, Xinjiang University of Finance and Economics, Urumqi 830000, China.
Guanghua School of Management, Peking University, Beijing 100871, China.
Heliyon. 2024 Mar 6;10(6):e27474. doi: 10.1016/j.heliyon.2024.e27474. eCollection 2024 Mar 30.
This paper discusses how managers adjust their strategies to allocate relevant resources more effectively and maximize economic benefits when major technological changes are predicted for the future. For a supply chain system consisting of a single manufacturer and two competing retailers as the research object. First, random stop model is applied to portray the impact of technological innovation on the decision-making of supply chain members. On this basis, differential game models for supply chain members are constructed based on different cooperation modes, including centralized, decentralized, and retailers alliance. Second, we solve and compare the optimal decision-making, emissions reduction, low-carbon goodwill, and profit levels before and after technological innovation in different modes. Finally, we design a bilateral cost-sharing contract to achieve coordination. Results demonstrate that: (1) Before the success of technological innovation, when a higher probability of success and uplift rate is predicted can incentivize supply chain members' emissions reduction and low-carbon promotion inputs; (2) In the presuccess period of technological innovation, members' independent decision-making (decentralized decision-making) can optimize the retailer's low-carbon promotional inputs under certain conditions. In contrast, the optimality of decentralized decision-making after technological innovation depends only on the influence of competition intensity. (3) The bilateral cost-sharing contract designed in this paper can optimize supply chain-related inputs and performance levels to achieve perfect coordination within the supply chain system, given that specific preconditions are satisfied.
本文探讨了在预测未来将发生重大技术变革时，管理者如何调整其战略，以更有效地分配相关资源并实现经济效益最大化。以一个由单一制造商和两个相互竞争的零售商组成的供应链系统为研究对象。首先，应用随机停止模型来刻画技术创新对供应链成员决策的影响。在此基础上，基于不同的合作模式构建供应链成员的微分博弈模型，包括集中式、分散式和零售商联盟。其次，求解并比较不同模式下技术创新前后的最优决策、减排量、低碳商誉和利润水平。最后，设计了一个双边成本分摊契约以实现协调。结果表明：（1）在技术创新成功之前，当预测到较高的成功概率和提升率时，可以激励供应链成员的减排和低碳推广投入；（2）在技术创新的预成功期，成员的独立决策（分散决策）在一定条件下可以优化零售商的低碳推广投入。相比之下，技术创新后分散决策的最优性仅取决于竞争强度的影响；（3）本文设计的双边成本分摊契约在满足特定前提条件下，可以优化供应链相关投入和绩效水平，以实现供应链系统内的完美协调。
