【代表性成果】 （一）部分主持项目（近三年） [1] 国家社会科学基金项目：数字创新生态系统知识共享集群行为涌现及治理机制研究，主持人 [2] 教育部人文社会科学研究一般项目(青年基金项目)：协同创新网络中知识扩散行为涌现机制研究：基于超网络演化的视角，主持。 [3] 中国博士后科学基金面上资助项目：超网络演化视角下协同创新组织知识共享行为机制研究，主持。 [4] 重庆市教委科学技术研究项目：复杂协作网络下协同创新组织内部知识转移机制研究，主持。 [5] 重庆市教委人文社科研究项目：协同创新组织知识创新能力涌现机制研究，主持。 [6] 重庆市社会科学规划博士项目:基于超网络视角的协同创新组织知识共享行为演化机制研究，主持。 （二）代表性研究论文（近三年） [1] J Su, D Wang, F Zhang, B Xu, Z Ouyang. A Multi-Criteria Group Decision-Making Method for Risk Assessment of Live-Streaming E-Commerce Platform. Journal of Theoretical and Applied Electronic Commerce Research.2023,18(2):1126-1141(SSCI) [2] Su, J., Zhang, F., Wang, D., Sindakis, S., **ao, Y., & Herrera-Viedma, E. (2023). Examining the influence of knowledge spillover on partner selection in knowledge Alliances: The role of benefit distribution. Computers & Industrial Engineering, 180, 109245.(SCI) [3]苏加福, 张凤婷, 王丹, 胡洪源, & 李婷婷. (2023). 基于知识协同视角的知识供应链伙伴选择策略. 计算机集成制造系统, 29(2), 650-664. [4]. J Su, Q Bai, S Sindakis, X Zhang, T Yang. Vulnerability of multinational corporation knowledge network facing resource loss. Management Decision, 2020.doi.org/10.1108/MD-02-2019-0227. (SSCI) [5]. J Su, J Wang, S Liu, N Zhang, C Li. A Method for Efficient Task Assignment Based on the Satisfaction Degree of Knowledge. Complexity, 2020, 3543782. (SCI) [6]. 苏加福，杨涛，胡森森. 基于UWN的协同创新知识网络知识流动效率测度. 科研管理, 2020,8：248-257. (CSSCI) [7]. T Soontornthum, L Cui, VN Lu, J Su*. Enabling SMEs’ learning from global value chains: Linking the logic of power and the logic of embeddedness of interfirm relations. Management International Review, 2020. 60 (4), 543-571. (SSCI) [8]. S Hu, S Huang, J Huang, J Su*. Blockchain and Edge Computing Technology Enabling Organic Agricultural Supply Chain: A Framework Solution to Trust Crisis. Computers & Industrial Engineering, 2020，107079. (SCI) [9]. Chen, S., Su, J., Wu, Y., & Zhou, F. (2022). Optimal production and subsidy rate considering dynamic consumer green perception under different government subsidy orientations. Computers & Industrial Engineering, 168, 108073. [10]. Zhang, X., Su, J., & Herrera-Viedma, E. (2022). A decision support model for estimating participation-oriented designs of crowdsourcing platforms based on quality function deployment. Expert Systems with Applications, 202, 117308. |
