[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.
[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)& Akbaritabar A. Using agent-based modeling in routine dynamics research: A quantitative and content analysis of literature. Review of Managerial Science, 2022,16(2), 521-550.
[7] 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
[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 intertwining impact of intra-organizational and routine networks on routine replication dynamics: An agent-based model. Complexity, vol.2018, 8496235.
[11] 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.
[12] 高德华, 邓修权, 朱洪利, 白冰. (2016). 基于惯例视角的适应性企业运作模式研究. 系统科学学报, 24(2):69-72
[13] Gao, D. (高德华), Deng, X., Zhao, Q., Zhou, H. & Bai, B. (2015). Multi-agent based simulation of organizational routines on complex networks. Journal of Artificial Societies and Social Simulation, 18(3), 17
[14]Gao, D. (高德华), Deng, X. & Bai, B. (2014). The emergence of organizational routines from habitual behaviors of multiple actors: An agent-based simulation study. Journal of Simulation, 8(3), 215-230
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