This article focuses on the conflict consultation process and empathetic decision‐making behavior of a poverty alleviation supply chain composed of farmers, retailers, and third‐party e‐commerce platforms (e‐platforms), and proposes an empathetic preference‐based consensus decision‐making model. The impact of empathetic preferences and power structure on the consensus reaching process are analyzed. The results indicate that consumers’ empathy increases the consensus wholesale price and sales price of products, while retailers’ and e‐platforms’ empathy increase the wholesale price and reduce the sales price of products. The empathetic preferences of consumers, retailers, and e‐platforms are helpful for increasing the profits of farmers. The retailer’s empathetic preference is not beneficial to its own profits and the supply chain, while the e‐platform’s empathetic preference can help to improve its own income and increase the overall profit of the supply chain at first, before decreasing. Moreover, the power of retailer is positively correlated with the profits of farmers and the retailer, and negatively correlated with the profits of the e‐platform and supply chain. The sales price and commission price are negatively correlated with the power of retailer, but the wholesale price is not related to the change in power structure.

This paper puts forward the concept of integrated power, synthetically measures the voters’ ability to influence the results of decision-making by influencing others through social learning, considering the interactions between decision-makers in social networks, and offers a method for measuring integrated power. Based on the theory and model of social learning, we analyze the influence of social learning on the voting process and power indices from the perspective of individuals’ professional level, position within the social network structure, relationship closeness, and learning efficiency. A measurement model of integrated power is constructed, and the variation in integrated power compared with that of the Banzhaf index is analyzed by numerical simulation. The results show that when the individual’s professional level is higher and closeness with neighboring decision-makers is greater, then the integrated power index is higher. An individual’s integrated power index may decrease when he/she changes from an isolated node to a nonisolated node, and then his/her integrated power will increase with the increases of neighbor nodes. Social learning efficiency can promote the integrated power of individuals with lower social impact and relationship closeness, but it is not beneficial for the core and influential members of the social network.

This study focuses on improving the Weber model to obtain a more optimised solution, by which we can measure effectively the quality of the voting rules. By introducing the voter’s supporting domain and the candidate’s supported degree to depict the emotional factors of voters and the real voting network, we propose the concept of validity for a candidate. Upon the traditional Weber model, two improved models are presented and the corresponding global optimal candidate is used as the evaluation benchmark for the voting rules. The experiments show that the optimal solution of the two models has better robustness in complex voting networks, can be used as a standard to evaluate the voting rules. When the support degree of voter is the main factor, the Condorcet rule is optimal in most cases, and when the validity of the candidate is taken as the main factor, the Approval rule must be the best.