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Transfer Mode of Enterprise, Localized Embedding Behavior and Knowledge Transfer Performance |
Zhou Yong1,Wu Haizhen1,Han Zhao'an 2 |
〖JZ(〗(1. School of Management, Xi'an University of Architecture and Technology, Xi'an 710055,China; 2.School of Economics & Management, Northwest University, Xi'an 710127,China) |
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Abstract As the joint transfer of industrial production system and knowledge system, industrial transfer is an important way to acquire new knowledge and realize knowledge creation. Based on the SCP (structure-conduct-performance) paradigm, from the perspective of network, the paper study embedding behavior and network embedding mode of transfer enterprise. The behavior of transfer enterprise is defined based on transfer mode and complexity of network environment, and the dynamic simulation model of knowledge transfer is constructed by multi-agent simulation methods. On this basis, the mechanism of knowledge transfer and the knowledge level of local cluster under different transfer modes and network environments are explored. The results show that: in different network environments and transfer modes, there are significant differences in the behavior of transfer enterprise and the knowledge level of local cluster. In the non-nuclear network, the diversity of network embedding of joint venture will significantly affect the knowledge level. In the nuclear network, the strength of "small communities" formed by group transfer enterprises has a significant negative impact on the knowledge transfer. Through the comparative analysis of knowledge transfer under different cluster network, it can be found that the nuclear network has obvious advantages in promoting the knowledge level compared with non-nuclear network. The research results not only help us understand the behavior of enterprises in the industry transfer from the micro level, but also have important significance for the choice of appropriate investment strategy and cluster development strategy, the promotion of knowledge transfer in the enterprise transfer, and the improvement of the innovation ability of the undertaking region.
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Received: 13 March 2019
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[1] SHRADER R C. Collaboration and performance in foreign markets: the case of young high-technology manufacturing firms [J]. Academy of Management Journal, 2001, 44(1): 45-60.[2] FLEMING L. Recombinant uncertainty in technological search [J]. Management Science, 2001, 47(1): 117-132.[3] LIANG F H. Does foreign direct investment improve the productivity of domestic firms? technology spillovers, industry linkages, and firm capabilities [J]. Research Policy, 2017, 46(1): 138-159.[4] BLALOCK G, GERTLER P J. How firm capabilities affect who benefits from foreign technology [J]. Journal of Development Economics, 2009, 90(2): 192-199. [5] LIN P,LIU Z,ZHANG Y.Do Chinese domestic firms benefit from FDI inflow? evidence of horizontal and vertical spillovers [J]. China Economic Review, 2009, 20(4): 677-691.[6] JINDRA B, GIROUD A, SCOTTKENNEL J. Subsidiary roles, vertical linkages and economic development: lessons from transition economies [J]. Journal of World Business, 2009, 44(2): 167-179.[7] JAVORCIK B S. Does foreign direct investment increase the productivity of domestic firms? in search of spillovers through backward linkages [J]. American Economic Review, 2004, 94(3): 605-627.[8] ANDERSSON U, FORSGREN M, HOLM U. The strategic impact of external networks: subsidiary performance and competence development in the multinational corporation [J]. Strategic Management Journal, 2002, 23(11): 18.[9] HENNART J F,HL SLANGEN A.Yes,we really do need more entry mode studies! a commentary on shaver [J]. Journal of International Business Studies, 2015, 46(1): 114-122. [10] LUTHANS F, STEWART T I. A general contingency theory of management [J]. Academy of Management Review, 1977, 2(2): 181-195.[11] 王文平, 谈正达. 有核网络型集群中知识共享深度与知识型企业的创新资源投入关系研究[J]. 管理工程学报, 2008, 22(3):51-56.[12] GRANOVETTER M. Economic institutions as social constructions: a framework for analysis [J]. Scandinavian University Press, 1992, 35(1): 3-11.[13] MCEVILY B, MARCUS A. Embedded ties and the acquisition of competitive capabilities [J]. Strategic Management Journal, 2005, 26(11): 23.[14] DYER J H, CHU W. The determinants of trust in supplier-automaker relationships in the U.S.,Japan and Korea [J]. Journal of International Business Studies, 2000, 31(2): 259-285.[15] LUO Y. Determinants of entry in an emerging economy: a multilevel approach [J]. Journal of Management Studies, 2010, 38(3): 443-472.[16] BELDERBOS R. Entry mode, organizational learning and R&D in foreign affiliates: evidence from Japanese firms [J]. Strategic Management Journal, 2003, 24(3): 235-259.[17] HENNART J, PARK Y. Greenfield vs. acquisition: the strategy of Japanese investors in the United States [J]. Management Science, 1993, 39(9): 1054-1070.[18] TSAI W, GHOSHAL S. Social capital and value creation: the role of intrafirm networks [J]. Academy of Management Journal, 1998, 41(4): 464-476.[19] CHEN T,CHEN H,KU Y.Foreign direct investment and local linkages [J]. Journal of International Business Studies, 2004, 35(4): 320-333.[20] VAHLNE J, JOHANSON J. The uppsala model on evolution of the multinational business enterprise-from internalization to coordination of networks [J]. International Marketing Review, 2013, 30(3): 189-210.[21] 黄晓, 胡汉辉, 于斌斌. 产业集群式转移中新集群网络的建构与演化——理论与实证[J]. 科学学研究, 2015, 33(4):539-548.[22] UZZI B. The sources and consequences of embeddedness for the economic performance of organizations: the network effect [J]. American Sociological Review, 1996, 61(4): 674-698.[23] DEVIGNE D, VANACKER T, MANIGART S, et al. The role of domestic and cross-border venture capital investors in the growth of portfolio companies [J]. Small Business Economics, 2013, 40(3): 553-573.[24] 王广雷, 吴晓伟, 楼文高, 等. 产业集群竞争情报分析及其实证研究[J]. 情报理论与实践, 2013, 36(3).[25] LUO Y. Industrial dynamics and managerial networking in an emerging market: the case of China [J]. Strategic Management Journal, 2003, 24(13): 1315-1327.[26] WALKER G,KOGUT B,SHAN W.Social capital,structural holes and the formation of an industry network [J]. Organization Science, 1997, 8(2): 109-125.[27] MARSDEN P V, CAMPBELL K E. Measuring tie strength [J]. Social Forces, 1984, 63(2): 482-501.[28] LEVIN D Z, CROSS R. The strength of weak ties you can trust: the mediating role of trust in effective knowledge transfer [J]. Management Science, 2004, 50(11): 1477-1490.[29] 曹兴, 宋娟. 网络组织知识转移仿真分析[J]. 中国软科学, 2014(3):142-152.[30] 史定华. 网络——探索复杂性的新途径[J]. 系统工程学报, 2005, 20(2):115-119.[31] 王国红, 周建林, 唐丽艳. 小世界特性的创新孵化网络知识转移模型及仿真研究[J]. 科学学与科学技术管理, 2014(5):53-63.[32] 王文平, 张苏荣. 产业集群网络演化中知识转移研究[J]. 管理学报, 2011, 8(9):1372.[33] 琚春华, 陈彦, 鲍福光. 融入网络结构与社交习惯的不对称用户关系强度计算[J]. 系统工程理论与实践, 2018, 38(8):2135-2146.[34] 琚春华, 陶婉琼, 许翀寰. 基于活动领域分类与间接关系融合的社会化网络用户关系强度计算模型[J]. 情报学报, 2016, 35(5):539-548.[35] 曾德明, 禹献云, 陈艳丽. 基于多Agent的创新网络隐性知识转移过程建模与仿真[J]. 管理学报, 2012, 9(12):1832.[36] 周钟, 陈智高. 产业集群网络中知识转移行为仿真分析—企业知识刚性视角[J]. 管理科学学报, 2015(1):41-49. |
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