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| Knowledge and Power Impact of the Promotion from Network Embeddedness to Innovative Drive |
| Xu Ke1,He Zhen2 |
| (1.School of Economics and Management, Tiangong University, Tianjin 300387, China;2.College of Management and Economics, Tianjin University, Tianjin 300072, China) |
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Abstract Nowadays, we have entered the era of coupling the knowledge economy and big data think tanks, and the demand for innovation-driven is stronger and eager.In the process of innovation and practice of high-tech enterprises under the Chinese cultural background, due to a series of negative factors such as the intertwined network structure, the intricate network relationship, the need to improve the big data system, and the insufficient knowledge think tank platform, the innovation driving effect is not satisfactory.It is urgent to apply specific tools such as big data collaborative knowledge think tanks, network mosaics, knowledge spirals and network power to innovative practices.At the same time, corporate scientific research teams are also facing unprecedented tests and challenges.The key issue is how to use innovation-driven as an important engine, seamlessly connect the three technologies of network integration, knowledge spiral management, and big data think tank construction and exert their best effects to accelerate the construction of China's innovation system.
There are three shortcomings in the existing research.First of all, the embedding methods of social networks include two types: structural mode and relational mode.Most scholars believe that these two types are separate and independent.Different network embedding modes have different impacts on innovative behavior.Therefore, mainstream research regards the two modes as different.It is an independent factor and if one of the mode is explored, the overall analysis effect is likely to be concealed.Secondly, in the intertwined network framework, the logical action path of the organizational network connection method on the innovation process is not pure and direct.It will inevitably be affected positively or negatively by other external factors, even though a small number of scholars have paid attention to knowledge management.The key value is in the social network, but the existing research results only focus on a single link or partial stage in the knowledge management, ignoring the overall process of the knowledge spiral cycle.Finally, in terms of research perspectives, existing research rarely discusses the influence mechanism of power.However, the network power that has gradually emerged in the evolution of social networks demonstrates the characteristics of dominance, authority, rewards and punishments, and only in a timely, appropriate, and appropriate manner.Only by exercising network power can network behavior be effectively regulated, and finally a virtuous circle of network order can be realized.Therefore, network power is also a factor to be investigated.
There are four aspects of innovation in this research.First, the structural mode and relational mode of network mosaic are integrated, taking into account the overall effects and individual effects of the two mosaic types, in-depth discussion of the two branches of network mosaic theory research, and further the two nesting methods are compared for innovation-driven differentiated performance of influence mechanism.Secondly, in order to highlight the dynamic transmission characteristics of the knowledge spiral, the knowledge value chain model is introduced, namely connection, internalization, socialization, and externalization, to interpret the knowledge spiral operation system and circulation mechanism, and for the first time the three-dimensional knowledge spiral transformation process is mapped.Third, with the help of the innovation value chain model, namely the three steps of creativity generation, creativity transformation, and creativity diffusion, the in-depth explanation of the connotation concept, extensional nature, operation process and operation mechanism of innovation-driven, the continuous characteristics of innovation-driven are characterized, at the same time, the effectiveness of innovation-driven in the value-added and creative evolution of the value chain is interpreted in detail.Finally, from the perspective of knowledge spiral and network power, combined with the examples of scientific research teams of high-tech manufacturing incubation enterprises in 16 provinces and cities in China, this paper tests the intermediary effect of knowledge spiral in the logical path of network incentive and innovation drive, and further explores the network.Power is proved to have a positive regulatory effect on the mediating effect.
The management enlightenment of this study is as follows.First of all, incubating companies should straighten out the characteristics of the network's embedded attributes, make full use of the existing network capital and competitive advantages, and maximize its effectiveness in the development of innovation-driven ideas, the transformation of scientific research, and the diffusion of results.Secondly, incubating companies should establish knowledge management awareness, clarify the knowledge spiral operation process and transformation mechanism, clarify the scope of research and development functions of scientific research teams, and efficiently enhance knowledge creation capabilities and value appreciation capabilities.Finally, from the perspective of network power, incubating companies should formulate rigorous and standardized rules and regulations, create an orderly operating environment, and exercise network power in a compliant, sensible, reasonable, timely, appropriate and appropriate manner, and be brave to assume responsibility and be proactive, fulfill obligations and manage network order fairly, efficiently deploy network resources, and couple network relationships.
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Received: 05 March 2021
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| [1] 郭建杰，谢富纪，王海花，等.产学协同中自我中心网络动态性、区域间合作网络对企业创新的影响研究[J].管理学报，2019，16(7)：1026-1034.[2] 常红锦，吉迎东，胡琳娜.技术创新网络惯例与关系机制的关系研究[J].科研管理，2019，40(5)：155-163.[3] 杨晔，朱晨.合作网络可以诱发企业创新吗——基于网络多样性与创新链视角的再审视[J].管理工程学报，2019，33(4)：28-37.[4] 詹坤，邵云飞，唐小我.联盟组合的网络结构对企业创新能力影响的研究[J].研究与发展管理，2018，30(6)：47-58.[5] GILSING V A, DUYSTERS G M.Understanding novelty creation networks——structural and relational embeddedness jointly considered[J].Technovation, 2008, 28(10): 693-708.[6] 戴万亮，杨皎平，李庆满.和气生财？内部社会资本对团队成员创造力的倒U型影响[J].科学学与科学技术管理，2016，37(10)：142-152.[7] JOACHIM V, SPIETH P, HEIDENREICH S.Active innovation resistance: an empirical study on functional and psychological barriers to innovation adoption in different contexts[J].Industrial Marketig Management, 2018, 71: 95-107.[8] ANDERSSON M,MOEN O,BRETT P O.The organizational climate for psychological safety: associations with SMEs' innovation capabilities and innovation performance[J].Journal of Engineering and Technology Management, 2020, 55: 101554.[9] YE Q, WANG D, GUO W.Inclusive leadership and team innovation: the role of team voice and performance pressure[J].European Management Journal, 2019, 37(4): 468-480.[10] Adro F J N D, LEITAO J C C.Leadership and organizational innovation in the third sector: a systematic literature review[J].International Journal of Innovation Studies, 2020, 4(2): 51-67.[11] HEUVEL C V D, KAO P, MATYAS M.Factors driving and hindering business model innovations for mobility sector start-ups[J].Research in Transportation Business & Management, 2020, 37: 100568.[12] LI X, HUI E C, LANG W, ZHENG S, QIN X.Transition from factor-driven to innovation driven urbanization in China: a study of manufacturing industry automation in Dongguan City[J].China Economic Review, 2020, 59: 101382.[13] ZHAO X, WANG W.Driving force for China's photovoltaic industry output growth: factor driven or technological innovation-driven[J].Journal of Cleaner Production, 2020, 274: 122848.[14] 徐可，于淏川，陈卫东.在孵企业创新驱动研究：网络权力与关系承诺视角[J].南开管理评论，2019，22(5)：38-48.[15] 徐可，姚飞，孙涛，等.创业导向转化为企业绩能的创新驱动过程[J].科学学研究，2018，36(1)：176-182.[16] ANGEL F,MARIA L S,FRANCISCO J G.Knowledge spirals in higher education teaching innovation[J].International Journal of Knowledge Management, 2014, 10(4): 16-37.[17] 徐可，何桢，王瑞.供应链关系质量与企业创新价值链 ——知识螺旋和供应链整合的作用[J].南开管理评论，2015，18(1)：108-117.[18] 徐可，何桢，王瑞.技术创新网络的知识权力、结构权力对网络惯例影响[J].管理科学，2014，27(5)：24-34.[19] 李奉书，黄婧涵.联盟创新网络嵌入性与企业技术创新绩效研究[J].中国软科学，2018(6)：119-127.[20] YAO L, LI J, LI J.Urban innovation and intercity patent collaboration:a network analysis of China's national innovation system[J].Technological Forecasting & Social Change,2020, 160: 120185.[21] TENG T, CAO X, CHEN H.The dynamics of inter-firm innovation networks:the case of the photovoltaic industry in China[J].Energy Strategy Reviews, 2020, 33: 100593.[22] LEON R, RODRIGUEZ R R, GASQUET P G, MULA J.Business process improvement and the knowledge flows that cross a private online social network: an insurance supply chain case[J].Information Processing and Management, 2020, 57(4): 102237.[23] HAN J, TENG X, TANG X, CAI X, LIANG H.Discovering knowledge combinations in multidimensional collaboration network:a method based on trust link prediction and knowledge similarity[J].Knowledge-Based Systems, 2020, 195: 105701.[24] 孔晓丹，张丹.创新网络知识流动对企业创新绩效的影响研究——基于网络嵌入性视角.预测，2019，38(2)：45-51.[25] 陈逢文，付龙望，张露，等.创业者个体学习、组织学习如何交互影响企业创新行为——基于整合视角的纵向单案例研究[J].管理世界，2020，36(3)：142-164.[26] 张庆垒，刘春林，郑莹.组织游移对创新绩效的影响研究[J].管理学报，2020，17(1)：76-84.[27] 李雷，杨怀珍，简兆权.内容提供商如何以万众之“智”谋自身之“惠”——基于“互联网+万众创新”的实证研究[J].研究与发展管理，2020，32(1)：50-63.[28] 孙骞，欧光军.双重网络嵌入与企业创新绩效 ——基于吸收能力的机制研究[J].科研管理，2018，39(5)：67-76.[29] 孙娟，李艳军.权力与公平：社会网络嵌入对农资零售商知识转移影响机理的实证研究 ——基于 SEM 的传统渠道和电商渠道情境的差异分析[J].管理工程学报，2019, 33(4)：10-18.[30] 康淑娟，安立仁.网络嵌入、创新能力与知识权力——基于全球价值链的视角[J].科学学与科学技术管理，2019，40(9)：88-100.[31] ROWLY T J, BAUM J A C, SHIPILOV A V, et al.Competing in groups[J].Managerial and Decision Economics, 2004, 25(6/7): 453-471.[32] LEE H, CHOI B.Knowledge management enablers, processes, and organizational performance:an integrative view and empirical examination[J].Journal of Management Information Systems, 2003, 20(1): 179-228.[33] 霍宝锋，韩昭君，赵先德.权力与关系承诺对供应商整合的影响[J].管理科学学报，2013，16(4)：33-50. |
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