Dynamics of collaboration network community and exploratory innovation: the moderation of knowledge networks

Previous studies have explored the effects of network structures on organization’s exploratory innovation from different perspectives. However, few studies focus on the network community, and there still exists a possible tension on the relationship between network community and organization’s exploratory innovation. In an attempt to make theoretical and empirical contributions to the literature, this study addresses the above research gap by focusing on the dynamics of the network community, and developed a research model that explains how the dynamics of network community affect organization’s exploratory innovation. Furthermore, organizations are not only embedded in the collaboration network, but also in the knowledge network, and we further proposed that the configuration of organizational knowledge network has a moderating effect on the above relationships. We mainly focused on the network cohesion of organizational knowledge network and divided it into global cohesion and local cohesion. With the patent data of smartphone collaboration network from year 2004 to 2017, we empirically examined our hypotheses. The estimation results verified the inverted-U-shaped relationship between dynamics of network community and organization’s exploratory innovation. Furthermore, global cohesion of focal organization’s knowledge network moderates the process in the way that when it is at high level, organization’s exploratory innovation can benefit more from a moderate level of dynamics of network community. Nevertheless, local cohesion moderates the process in the way that when it is at low level, organization’s exploratory innovation can benefit more from a moderate level of dynamics of network community.

[1]  Wenqing Wu,et al.  Cooperative knowledge creation in an uncertain network environment based on a dynamic knowledge supernetwork , 2019, Scientometrics.

[2]  Nader A. Salman,et al.  Indirect Networks: An Intangible Resource for Biotechnology Innovation , 2005 .

[3]  R. Burt Structural Holes and Good Ideas1 , 2004, American Journal of Sociology.

[4]  Jiancheng Guan,et al.  Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy , 2016 .

[5]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Guiyang Zhang,et al.  How R&D partner diversity influences innovation performance: an empirical study in the nano-biopharmaceutical field , 2018, Scientometrics.

[7]  Gerda Gemser,et al.  The dynamics of inter-firm networks in the course of the industry life cycle: the role of appropriability , 1996 .

[8]  L. Nesta,et al.  What kind of knowledge can a firm absorb , 1999 .

[9]  Robert M. Grant,et al.  The knowledge-based view of the firm: Implications for management practice , 1997 .

[10]  Jinjuan Zang,et al.  Structural holes, exploratory innovation and exploitative innovation , 2018 .

[11]  Anindya Ghosh,et al.  PERSPECTIVE - Shrouded in Structure: Challenges and Opportunities for a Friction-Based View of Network Research , 2015, Organ. Sci..

[12]  Chiayu Tu,et al.  Balancing exploration and exploitation capabilities in high technology firms: A multi-source multi-context examination , 2010 .

[13]  Nobuyuki Hanaki,et al.  The Dynamics of R&D Network in the IT Industry , 2010 .

[14]  Jens Leker,et al.  How to measure technological distance in collaborations? The case of electric mobility , 2013, 2013 Proceedings of PICMET '13: Technology Management in the IT-Driven Services (PICMET).

[15]  Jiancheng Guan,et al.  Social capital, exploitative and exploratory innovations: The mediating roles of ego-network dynamics , 2018 .

[16]  Hongbo Duan,et al.  Network stability, connectivity and innovation output , 2017 .

[17]  Kyle Lewis,et al.  Group cognition, membership change, and performance: Investigating the benefits and detriments of collective knowledge ☆ , 2007 .

[18]  W. Powell,et al.  Interorganizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology. , 1996 .

[19]  Yibo Lyu,et al.  Structural embeddedness and innovation diffusion: the moderating role of industrial technology grouping , 2017, Scientometrics.

[20]  Kuang-Peng Hung,et al.  Exploring Open Search Strategies and Perceived Innovation Performance from the Perspective of Inter-Organizational Knowledge Flows , 2010 .

[21]  Ranjay Gulati,et al.  Toward a Theory of Extended Contact: The Incentives and Opportunities for Bridging Across Network Communities , 2011, Organ. Sci..

[22]  G. Ahuja Collaboration Networks, Structural Holes, and Innovation: A Longitudinal Study , 1998 .

[23]  Janghyeok Yoon,et al.  Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D , 2013, Scientometrics.

[24]  Sai Yayavaram,et al.  Decomposability in Knowledge Structures and Its Impact on the Usefulness of Inventions and Knowledge-base Malleability , 2008 .

[25]  Wonjoon Kim,et al.  The knowledge network dynamics in a mobile ecosystem: a patent citation analysis , 2017, Scientometrics.

[26]  Eldon Y. Li,et al.  Co-authorship networks and research impact: A social capital perspective , 2013 .

[27]  Ashish Arora,et al.  The Value of International Patent Rights , 2001 .

[28]  Myong Kee Jeong,et al.  Two-phase edge outlier detection method for technology opportunity discovery , 2017, Scientometrics.

[29]  Chao-Hung Wang,et al.  Building exploration and exploitation in the high-tech industry: The role of relationship learning. , 2014 .

[30]  Duk Hee Lee,et al.  The structure and change of the research collaboration network in Korea (2000–2011): network analysis of joint patents , 2017, Scientometrics.

[31]  Simon Rodan,et al.  Knowledge Networks, Collaboration Networks, and Exploratory Innovation , 2014 .

[32]  L. Fleming,et al.  Collaborative Brokerage, Generative Creativity, and Creative Success , 2007 .

[33]  Alan L. Porter,et al.  Capturing new developments in an emerging technology: an updated search strategy for identifying nanotechnology research outputs , 2013, Scientometrics.

[34]  J. Lind,et al.  With or Without U? The Appropriate Test for a U-Shaped Relationship , 2007 .

[35]  A. Nerkar,et al.  The Impact of Global and Local Cohesion on Innovation in the Pharmaceutical Industry , 2012 .

[36]  Ann Majchrzak,et al.  A Review of Interorganizational Collaboration Dynamics , 2015 .

[37]  Chih-Hsing Liu,et al.  The effects of innovation alliance on network structure and density of cluster , 2011, Expert Syst. Appl..

[38]  Luyun Xu,et al.  Exploring new knowledge through research collaboration: the moderation of the global and local cohesion of knowledge networks , 2019 .

[39]  Corey C. Phelps,et al.  Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation , 2007, Manag. Sci..

[40]  Xuefeng Liu,et al.  How latecomers innovate through technology modularization: Evidence from China’s Shanzhai industry , 2015 .

[41]  Yan Yan,et al.  How multiple networks help in creating knowledge: evidence from alternative energy patents , 2018, Scientometrics.

[42]  R. Grant The Knowledge-Based View of the Firm , 2006 .

[43]  Xuefeng Liu,et al.  Network characteristics, absorptive capacity and technological innovation performance , 2011 .

[44]  Thomas Scherngell,et al.  Is the European R&D Network Homogeneous? Distinguishing Relevant Network Communities Using Graph Theoretic and Spatial Interaction Modelling Approaches , 2013 .

[45]  Joshua B. Powers,et al.  Policy orientation effects on performance with licensing to start-ups and small companies , 2005 .

[46]  Nelson Casimiro Zavale,et al.  University-industry linkages’ literature on Sub-Saharan Africa: systematic literature review and bibliometric account , 2018, Scientometrics.

[47]  Eva Gallardo-Gallardo,et al.  Understanding scientific communities: a social network approach to collaborations in Talent Management research , 2017, Scientometrics.

[48]  Ralph A. Heidl,et al.  Knowledge, Networks, and Knowledge Networks , 2011 .