基于组织-惯例的相依技术创新网络级联失效模型研究

摘要/Abstract

摘要：

鉴于创新活动中组织和惯例之间的互动依赖关系，提出了组织-惯例耦合相依的技术创新网络，从节点负荷、节点容量、子网络内部与子网络间的失效机制入手，构建了相依技术创新网络的级联失效模型，分析不确定干扰下级联失效蔓延的动态演化机制，运用数值仿真探讨了相依模式与关键参数对拓扑结构及创新能力的脆弱性影响，通过实例进行了验证分析。结果表明：组织和惯例节点存在抗干扰能力阈值，小于该阈值会致使相依技术创新网络产生级联崩溃现象；相依网络间耦合强度与抗干扰能力阈值呈近似U型关系，存在最优耦合强度；组织-惯例的对称均匀结构比对称非均匀结构具有更强的鲁棒性；负荷作用下异配相依模式能够增强相依技术创新网络抵御级联失效的能力；当小于最优耦合强度时，度大失效和随机失效比度小失效对拓扑结构及创新能力的破坏性影响较大，反之，三种不确定干扰方式间的差异性减小。研究结论对提升技术创新网络的抗风险能力具有重要意义。

关键词: 技术创新网络, 网络组织, 组织惯例, 级联失效, 相依网络

Abstract:

Given the coupled interdependent relationship between organization and routine in innovation, this paper proposes an organization-routine interdependent technological innovation network architecture. Then this paper establishes a dynamic cascading failure model with the definition of node load, capacity and the failure mechanism between organization network and routine network by simulation, which is caused by uncertain risk with organization and routine failure. Lastly, the cascading failure model is illustrated through an example. The results show that organization and routine node have capability threshold. The uncertain risk may cause cascading failure in the interdependent technological innovation network when the capability value cannot reach a certain threshold; This threshold has approximate U-shaped correlation with coupling strength, so there is an optimal value of coupling strength; Symmetrical homogeneous topological structures can cause more damages than heterogeneous dependency structure; With load induced organization and routine node, the way of disassortative coupling can improve the robustness of organization-routines interdependent technological innovation network to defend against cascading failures; When coupling strength is less than the optimal value, highest-degree and random failure are more prone to lead cascading failures than lowest-degree failure. Otherwise, three failure modes have no significant difference. The results have significant meaning for improving the anti-risk capacity of technological innovation network.

Key words: technological innovation network, network organization, organizational routines, cascading failure, interdependent network

魏龙, 党兴华. 基于组织-惯例的相依技术创新网络级联失效模型研究[J]. , 2017, 29(11): 74-88.

Wei Long, Dang Xinghua. Research on Cascading Failure Model of Organization-Routine Interdependent Technological Innovation Network[J]. , 2017, 29(11): 74-88.

参考文献

[1] Majchrzak A., Jarvenpaa S. L., Bagherzadeh M. A Review of Interorganizational Collaboration Dynamics[J]. Journal of Management, 2015,41(5):1338-1360
[2] Schilling M. A. Technology Shocks, Technological Collaboration, and Innovation Outcomes[J]. Organization Science, 2015,26(3):668-686
[3] 张延禄,杨乃定. R&D网络风险相继传播模型构建及仿真[J]. 系统工程理论与实践, 2014,34(3):723-731
[4] Zollo M., Reuer J. J., Singh H. Interorganizational Routines and Performance in Strategic Alliances[J]. Organization Science, 2002,13(6):701-713
[5] Dionysiou D. D., Tsoukas H. Understanding the (Re) Creation of Routines from Within:A Symbolic Interactionist Perspective[J]. Academy of Management Review, 2013,38(2):181-205
[6] Miller K. D., Pentland B. T., Choi S. Dynamics of Performing and Remembering Organizational Routines[J]. Journal of Management Studies, 2012,49(8):1536-1558
[7] Feldman M. S., Pentland B. T. Reconceptualizing Organizational Routines as A Source of Flexibility and Change[J]. Administrative Science Quarterly, 2003,48(1):94-118
[8] Feldman M. S., Pentland B. T., D'adderio L., et al. Beyond Routines as Things:Introduction to the Special Issue on Routine Dynamics[J]. Organization Science, 2016,27(3):505-513
[9] Vespignani A. Complex Networks:The Fragility of Interdependency[J]. Nature, 2010,464(7291):984-985
[10] Pahwa S., Scoglio C. M., Scala A. Abruptness of Cascade Failures in Power Grids[J]. Scientific Reports, 2014,4(3694):1-9
[11] 种鹏云,帅斌. 连环恐怖袭击下危险品运输网络级联失效建模[J]. 系统工程理论与实践, 2014,34(4):1059-1065
[12] Gao J., Buldyrev S. V., Stanley H E, et al. Networks Formed from Interdependent Networks[J]. Nature Physics, 2012,8(1):40-48
[13] Buldyrev S. V., Parshani R., Paul G., et al. Catastrophic Cascade of Failures in Interdependent Networks[J]. Nature, 2010,464(7291):1025-1028
[14] Quill E. When Networks Network:Once Studied Solo, Systems Display Surprising Behavior When They Interact[J]. Science News, 2012,182(6):18-25
[15] Min B., Do Yi S., Lee K-M., et al. Network Robustness of Multiplex Networks with Interlayer Degree Correlations[J]. Physical Review E, 2014,89(4):1-9
[16] Reis S. D., Hu Y., Babino A., et al. Avoiding Catastrophic Failure in Correlated Networks of Networks[J]. Nature Physics, 2014,10(10):762-767
[17] Helbing D. Globally Networked Risks and How to Respond[J]. Nature, 2013,497(7447):51-59
[18] Ranganathan R., Rosenkopf L. Do Ties Really Bind? The Effect of Knowledge & Commercialization Networks on Opposition to Standards[J]. Academy of Management Journal, 2014,57(2):515-540
[19] Wang C., Rodan S., Fruin M., et al. Knowledge Networks, Collaboration Networks, and Exploratory Innovation[J]. Academy of Management Journal, 2014,57(2):484-514
[20] Shipilov A., Gulati R., Kilduff M., et al. Relational Pluralism Within and Between Organizations[J]. Academy of Management Journal, 2014,57(2):449-459
[21] Gulati R., Sytch M., Tatarynowicz A. The Rise and Fall of Small Worlds:Exploring the Dynamics of Social Structure[J]. Organization Science, 2012,23(2):449-471
[22] Sytch M., Tatarynowicz A. Friends and Foes:The Dynamics of Dual Social Structures[J]. Academy of Management Journal, 2014,57(2):585-613
[23] Barabási A-L. Scale-Free Networks:A Decade and Beyond[J]. Science, 2009,325(5939):412-413
[24] Powell W. W., White D. R., Koput K. W., et al. Network Dynamics and Field Evolution:The Growth of Interorganizational Collaboration in the Life Sciences[J]. American journal of sociology, 2005,110(4):1132-1205
[25] Pentland B. T., Hærem T., Hillison D. Comparing Organizational Routines as Recurrent Patterns of Action[J]. Organization Studies, 2010,31(7):917-940
[26] Pentland B. T., Hærem T, Hillison D. The (N) ever-Changing World:Stability and Change in Organizational Routines[J]. Organization Science, 2011,22(6):1369-1383
[27] Pentland B. T., Feldman M. S., Becker M. C., et al. Dynamics of Organizational Routines:A Generative Model[J]. Journal of Management Studies, 2012,49(8):1484-1508
[28] Gao J., Buldyrev S. V., Havlin S., et al. Robustness of A Network of Networks[J]. Physical Review Letters, 2011,107(19):3096-3100
[29] 于凯,荣莉莉,郭文强,等. 基于线上线下网络的舆情传播模型研究[J]. 管理评论, 2015,27(8):200-212
[30] 武澎,王恒山,李煜. 突发事件信息传播超网络中枢纽节点的判定研究[J]. 管理评论, 2013,25(6):104-111
[31] 石乘齐,党兴华. 技术创新网络中组织间依赖的影响因素及形成研究[J]. 管理工程学报, 2017,31(1):1-9
[32] 魏龙,党兴华. 惯例复制行为对技术创新网络演化的影响研究[J]. 科学学研究, 2017,35(1):146-160
[33] 吴亚晶,张鹏,狄增如,等. 二分网络研究[J]. 复杂系统与复杂性科学, 2010,7(1):1-12
[34] 黄英艺,金淳,荣莉莉. 考虑节点综合重要度的物流网络级联失效模型[J]. 运筹与管理, 2014,23(6):108-115
[35] 王建伟,蒋晨,孙恩慧. 耦合网络边相继故障模型研究[J]. 管理科学, 2014,27(6):132-142
[36] Pocock M. J., Evans D. M., Memmott J. The Robustness and Restoration of A Network of Ecological Networks[J]. Science, 2012,335(6071):973-977
[37] 陈世明,邹小群,吕辉,等. 面向级联失效的相依网络鲁棒性研究[J]. 物理学报, 2014,63(2):432-441
[38] 王建伟,荣莉莉,王铎. 基于节点局域特征的复杂网络上相继故障模型[J]. 管理科学学报, 2010,13(8):42-50
[39] 吴俊,谭跃进. 复杂网络抗毁性测度研究[J]. 系统工程学报, 2005,20(2):128-131
[40] Granell C., Gómez S., Arenas A. Dynamical Interplay Between Awareness and Epidemic Spreading in Multiplex Networks[J]. Physical Review Letters, 2013,111(12):1-7