The remanufacturing industry plays a significant role to improve the utilization of resources and contribute to environmental protection and sustainable development. E-commerce channel (e-channel) has become an important retail channel. The multi-period closed-loop supply chain network of electronic channels (E-CLSCN) is studied. Moreover, this study considers the influence of consumers’ preference for products and artificial intelligence push (AI-push) on network balance under the conditions of dynamic and static. The network consists of manufacturers, remanufacturers, and demand markets. Remanufacturers are responsible for collecting and remanufacturing. The multi-period E-CLSCN model is established through variational inequalities. The study finds that whether dynamic or static, consumers’ preference for new products (NP) has positively correlated with the profits of manufacturers and the whole E-CLSCN. Consumers’ preference for remanufacturer products (RP) has only positively correlated with the profits of remanufactures. In the aspect of AI-push, the manufacturers’ AI-push has positively correlated with the profits of the entire players of E-CLSCN, while the remanufacturers’ AI-push has only positively correlated with the profits of the remanufacturers. Also, considering the multi-period, the sensitivity of the demand markets for the investment of manufacturers’ and remanufacturers’ AI-push gradually reduces, and the marginal benefit of AI-push gradually decreases. Finally, this paper addresses interesting managerial insights from the perspective of government and enterprises. Under the dual objectives of environmental protection and economic interests of enterprises, this study provides a reference for governments and enterprises to develop relevant dynamic policies. Namely, the government formulates dynamic environmental protection measures, and enterprises formulate dynamic strategic plans and implement government policies. While promoting the management level of E-CLSCN, it effectively boosts the development of the remanufacturing industry and recycling sustainable economy.

The reduction in carbon emissions by industrial enterprises is an important means for promoting environmental protection and achieving sustainable development. To determine the impact of carbon emissions reduction on supply chain operation and financing decision-making, in this study we designed three financing strategies, i.e., bank loan financing, equity financing, and hybrid financing (a combination of bank loan financing and equity financing), for a manufacturer (leader) and a low-carbon supply chain composed of a capital-constrained retailer, constructed Stackelberg game models, solved the equilibrium results under each financing strategy using the reverse recursion method, and revealed the financing preference of the supply chain member companies through comparative analysis. The results showed that the increase in the consumers’ low-carbon preference and equity financing ratio have positive impacts on supply chain equilibrium, a result that is opposite that for the impact of the interest rate of bank loan financing; additionally, the abovementioned three factors jointly determine the profit of the manufacturer of the low-carbon supply chain, while the retailer’s profit is affected by the equity dividend ratio. Finally, we present the conditions for the financing preference of the manufacturer and the retailer. The findings of this study can provide references for low-carbon supply chain companies to make appropriate management decisions.

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In this study, we examined how supervisor developmental feedback influences employees’ innovative behavior. A multi-time survey method was used in this study to collect data from 310 employees in Chinese enterprises. The research results show that supervisor developmental feedback has positive effects on employee innovative behavior via the mediating effect of self-goal-setting. We further found that uncertainty avoidance strengthens the positive relationship between supervisor developmental feedback and the self-goal-setting of employees. Our study offers a new account based on self-regulation perspective for understanding feedback.

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