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Modeling Analysis of Complex Products Resource Integration Behavior Under Distributed Collaborative Technology Innovation Mode

  • Hongzhuan Chen EMAIL logo , Yue Wang , Lulu Song and Qiaoke Zhang

Abstract

According to new features of distributed technology innovation collaboration of complex products of China’s aviation, in the multi-agent collaborative R&D process, between main manufacturer and suppliers, this paper summarizes the organizational structure and characteristics of collaborative mode of distributed technology innovation of complex products, basing on the technological innovation and resource integration of complex products, and treating resource contribution rate as a key parameter. It establishes multi-agent resource integration collaborative symbiosis model under distributed collaborative technology innovation mode based on symbiosis theory. And finds that some factors such as the basic attributes of the enterprise, the mutual influence of resources among enterprises and the behavior decision of the main manufacturer have some effects on the resource integration using stability analysis and simulation analysis, which provides a theoretical basis for the main manufacturer to optimize the behavior of suppliers’ resource integration.

References

[1] Bayona C, Garcí-Marco T, Huerta E. Firms’ motivations for cooperative R&D: An empirical analysis of Spanish firms. Research Policy, 2001, 30(8): 1289–1307.10.1016/S0048-7333(00)00151-7Search in Google Scholar

[2] Sullivan D, Dooley L, Li J Q, et al. Distributed Innovation Management, 2003.Search in Google Scholar

[3] Bowden A. Knowledge for free? Distributed innovation as a source of learning. Public Policy & Administration, 2005, 20(3): 56–68.10.1177/095207670502000306Search in Google Scholar

[4] Damanpour F. Organizational complexity and innovation: Developing and testing multiple contingency models. Management Science, 1996, 42(5): 693–716.10.1287/mnsc.42.5.693Search in Google Scholar

[5] Liu G. The concept, background and characteristics of distributed innovation. An Academic Edition of Manamaga, 2010.Search in Google Scholar

[6] Luo J Y, Xia L I, Liu G X. On heterogeneous and dispersed knowledge development processes in distributed innovation. Journal of Zhengzhou Institute of Aeronautical Industry Management, 2011.Search in Google Scholar

[7] Baldwin C Y. Organization design for distributed innovation. SSRN Electronic Journal, 2012.10.2139/ssrn.2055814Search in Google Scholar

[8] Alexander G. Knowledge management, cognitive coherence, and equivocality in distributed innovation processes in MNCs. Management International Review, Gabler Verlag, 2004: 103–128.10.1007/978-3-322-91001-1_6Search in Google Scholar

[9] Cusmano V A L. Governance and co-ordination of distributed innovation processes: Patterns of R&D cooperation in the upstream petroleum industry. Economics of Innovation & New Technology, 2005, 14(1–2): 1–21.10.1080/1043859042000228651Search in Google Scholar

[10] Yan J Z. Research on Cooperation Conflict Model and it’s Stability of Distributed Innovation. Technoeconomics & Management Research, 2013.Search in Google Scholar

[11] Anderson E G, Joglekar N. Mastering emergent opportunities and risks during distributed innovation. Social Science Electronic Publishing, 2011.Search in Google Scholar

[12] Bogers M, West J. Managing Distributed Innovation: Strategic Utilization of Open and User Innovation. Creativity & Innovation Management, 2012, 21(1): 61–75.10.1111/j.1467-8691.2011.00622.xSearch in Google Scholar

[13] Kanto L, et al. How do customer and user understanding, the use of prototypes and distributed collaboration support rapid innovation activities? Portland International Conference on Management of Engineering & Technology IEEE, 2014: 784–795.Search in Google Scholar

[14] Tinggao O U, Xiao B. The social shaping of technological innovation. Science of Science & Management of S & T, 2006.Search in Google Scholar

[15] Vachon S, Klassen R D. Extending green practices across the supply chain: The impact of upstream and downstream integration. International Journal of Operations & Production Management, 2006, 26(7): 795–821.10.1108/01443570610672248Search in Google Scholar

[16] Kumar S, Chandra C. Enterprise architectural framework for supply-chain integration. Industrial Management & Data Systems, 2001, 101(101): 290–304.10.1108/EUM0000000005578Search in Google Scholar

[17] Awasthi A, Grzybowska K. Barriers of the supply chain integration process. Logistics Operations, Supply Chain Management and Sustainability. Springer International Publishing, 2014: 15–30.10.1007/978-3-319-07287-6_2Search in Google Scholar

[18] Ghobakhloo M, Tang S H, Sabouri M S, et al. The impact of information system-enabled supply chain process integration on business performance: A resource-based analysis. International Journal of Information Technology & Decision Making, 2014, 13(5): 1450016.10.1142/S0219622014500163Search in Google Scholar

[19] Herczeg G, Akkerman R, Hauschild M Z. Supply chain coordination in industrial symbiosis. 2013.Search in Google Scholar

[20] Shi J G, Wu G. Supply chain alliance profits allocation based on balanced constant. International Conference on Industrial Engineering and Engineering Management, 2009. IE&EM IEEE, 2009: 1616–1619.Search in Google Scholar

[21] Ding Y B, Zhou B, Ling D. Study on the monitoring of dynamic stability of symbiosis theory-based supply-chain alliance. 2009.Search in Google Scholar

[22] Zhuo X Z, Wang X. Study on evolution game of supply chain alliance companionate symbiosis. Computer Engineering & Applications, 2010, 46(1): 208–210.Search in Google Scholar

[23] Holgado M, Dai M, Evans S. Exploring the scope of industrial symbiosis: Implications for practitioners. Sustainable Design and Manufacturing, 2016.10.1007/978-3-319-32098-4_15Search in Google Scholar

[24] Hitt M A, Bierman L, Shimizu K, et al. Direct and moderating effects of human capital on strategy and performance in professional service firms: A resource-based perspective. Academy of Management Journal, 2001, 44(1): 13–28.10.2307/3069334Search in Google Scholar

[25] Zhang Q H, Li M. Research on enterprise synergy innovation symbiosis model based on life cycle theory. China Management Informationization, 2014: 106–107.Search in Google Scholar

[26] Jiang Q Y, Xie J X, Ye J. Mathematical model (The third edition). Beijng: Higher Education Press 2003, 134–145.Search in Google Scholar

[27] Cao Y G. An analysis of enterprise cluster symbiosis models & its stability. Journal of North China Institute of Water Conservancy & Hydroelectric Power, 2005.Search in Google Scholar

Received: 2017-06-21
Accepted: 2017-10-09
Published Online: 2018-06-29

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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