高德华
职称:副教授,硕士生导师
所在系:工业工程系
电子邮箱:dhuagao@sdtbu.edu.cn
办公室:东校区6810
研究领域
复杂组织决策与智能管理、计算组织科学、工业系统工程
科研项目
[1] 国家社会科学基金一般项目:垂域人工智能大模型嵌入研发团队人智协同知识创新的机制及路径研究(编号:25BGL059),获批时间:2025年9月
[2] 山东省自然科学基金面上项目:成文规则对组织惯例动态演变的作用机理及过程研究(编号:ZR2020MG023),获批时间:2021年1月
[3] 山东省自然科学基金中青年科学家科研奖励计划项目:组织惯例复制的微观机理、过程及实施途径:基于多主体仿真的研究(编号:ZR2016GB06),获批时间:2016年11月
代表性学术成果
[1] Gao, D.(高德华)(2026). Using agent-based modeling for theory building in organizational routines. In: Chen, S., Wall, F., & Leitner, S. (eds.), The Oxford Handbook of Agent-based Computational Management Science, Oxford, UK: Oxford University Press
[2] Yang, Y., Shamim, S., De Massis, A., & Gao, D (高德华). (2025). Defensive routines as coping mechanisms against technostress: roles of digital leadership and employee goal orientation. Technological Forecasting and Social Change, 216, 124143.
[3] Gao, D. (高德华) & Yang, Y. (2023). Identifying the impact of artifacts-based exploration and exploitation on routines’ formation dynamics: An agent-based model. Journal of Artificial Societies and Social Simulation, 26(3), 5. http://jasss.soc.surrey.ac.uk/26/3/5.html
[4] 王国成 & 高德华(2023). 基于ABM的公共政策仿真研究进展与方法论启示. 公共管理学报, 20(2), 116-127
[5] Gao, D. (高德华)(2023). Digital artifacts as the ‘template’ in routines replication across intra-organizational boundaries: Insights from a NK-based simulation model. In: The 39th EGOS Colloquium, Sub-theme 70: Routines Dynamics: Enacting and Crossing Boundaries, July 6-8, Cagliari, Italy
[6] Gao, D. (高德华)(2022). Exploring routine dynamics from the ‘bottom-up’: A mixed-method approach by combining agent-based modeling with laboratory experimental research, The Social Simulation Conference 2022, 12-16 September Milan, Italy
[7] Gao, D.(高德华)& Akbaritabar A (2021). Using agent-based modeling in routine dynamics research: A quantitative and content analysis of literature. Review of Managerial Science, https://doi.org/10.1007/s11846-021-00446-z
[8] Gao, D.(高德华)(2021). Agent-based modeling in routine dynamics. In: D’Adderio, L., Dittrich, K., Feldman, M. S., Pentland B. T., Rerup, C. & Seidl D. (eds.), Cambridge Handbook of Routine Dynamics, UK: Cambridge University Press, pp.159-171.
[9] Gao, D.(高德华). (2019) Simulating the role of leadership in artifacts-enabled formation of organizational routines. The 35th EGOS Colloquium, Sub-theme 06 - Routine Dynamics: New Ways of Organizing, July 4-6 2019, Edinburgh, UK.
[10] Gao, D.(高德华), Squazzoni, F. & Deng, X. (2018) The role of cognitive artifacts in the evolutionary dynamics of organizational routines: An agent-based model. Computational and Mathematical Organization Theory, 24(4), 473-499.
讲授课程
本科生:物流与供应链管理、安全工程学、R编程与数据可视化入门
研究生:工程系统建模与仿真、R语言与数据分析、系统科学与系统工程、管理研究方法等
作者:颜东伟 编辑:刘志浩 审核:沙永海