Relational risk cascading propagation modeling and simulation in R&D network based co-opetition perspective

被引：0
|
作者：
Liu H. [1 ]
Yang N. [1 ,2 ,3 ]
Zhang Y. [1 ]
机构：
[1] School of Management, Northwestern Polytechnical University, Xi'an
[2] Emergency Management Institute, Northwestern Polytechnical University, Xi'an
[3] Shaanxi Emergency Management Academy, Xi'an
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2017年 / 37卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Co-opetition; Complex network; Relational risk; Research and development network;
D O I：
10.12011/1000-6788(2017)05-1313-09
中图分类号：
学科分类号：
摘要：
Considering the co-opetition relationship in research and development (R&D) network, the paper established the dynamic model of risk propagation, which includes three aspects: the definition of each enterprise risk load, determination of each enterprise's capacity of resisting risk and how failed enterprises nodes effect on the neighboring nodes. Risk recovery factor is introduced into the model. The simulation results show the relationship risk propagation process in co-operation R&D networks can be over rapidly in a very short time; in the three types of risk, opportunism risk propagates fastest and affects widest. The proportion of the competitive enterprises and the competition level have positive effects on the propagation speed and scope of relational risk; the level of corporation and competition both have significant impacts on relationship risk propagation, however, the corporation level has greater influence than the competition level; there exists optimal risk recovery level which can stop the risk from propagation in R&D network. This research has an important enlightenment for improving the capability of resisting risk and keeping the sustainable development of R&D network. © 2017, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
引用
收藏
页码：1313 / 1321
页数：8
相关论文
共 34 条
  • [1] Ritala P., Hurmelinna-Laukkanen P., Incremental and radical innovation in coopetition-The role of absorptive capacity and appropriability, Journal of Product Innovation Management, 30, 30, pp. 154-169, (2013)
  • [2] Gnyawali D.R., Park B.J., Co-opetition and technological innovation in small and medium-sized enterprises: A multilevel conceptual model, Journal of Small Business Management, 47, 3, pp. 308-330, (2009)
  • [3] Gnyawali D.R., Park B.J., Co-opetition between giants: Collaboration with competitors for technological innovation, Research Policy, 40, 5, pp. 650-663, (2011)
  • [4] Bouncken R.B., Pluschke B.D., Pesch R., Et al., Entrepreneurial orientation in vertical alliances: Joint product innovation and learning from allies, Review of Managerial Science, 10, 2, pp. 1-29, (2014)
  • [5] Bouncken R.B., Pesch R., Kraus S., SME innovativeness in buyer-seller alliances: Effects of entry timing strategies and inter-organizational learning, Review of Managerial Science, 9, 2, pp. 361-384, (2014)
  • [6] Lado A.A., Hanlon S.C., Competition, cooperation, and the search for economic rents: A syncretic model, Academy of Management Review, 22, 1, pp. 525-556, (1997)
  • [7] Ritala P., Hurmelinna-Laukkanen P., What's in it for me? Creating and appropriating value in innovation-related coopetition, Technovation, 29, 29, pp. 819-828, (2009)
  • [8] Quintana-Garc'ia C., Benavides-Velasco C.A., Cooperation, competition, and innovative capability: A panel data of European dedicated biotechnology firms, Technovation, 24, 12, pp. 927-938, (2004)
  • [9] Chin K., Identifying and prioritizing critical success factors for coopetition strategy, Industrial Management & Data Systems, 108, 108, pp. 437-454, (2013)
  • [10] Baglieri D., Carfi D., Dagnino G.B., Asymmetric R&D alliances in the biopharmaceutical industry, International Studies of Management & Organization, 6, 2-3, pp. 179-201, (2016)
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