How do structural holes promote network expansion

Abstract Drawing from resource dependence theory and social network theory, we explain how structural holes impact on network expansion in the R&D network. We adopt the social network perspectives to extend this research by offering a model that examines how knowledge recombination moderates relationship between structural holes and network expansion. We collect the panel patent data from information and communication technology (ICT) industry between 1994 and 2016 by Derwent Innovation Database, and use the fixed-effects negative binomial regression model to test the hypotheses. Results reveal that structural holes have a positive impact on network expansion. In addition, this relationship is positively moderated by the potential for knowledge recombination and negatively moderated by coordination cost of knowledge recombination.

[1]  Claudio J. Tessone,et al.  The role of endogenous and exogenous mechanisms in the formation of R&D networks , 2014, Scientific Reports.

[3]  Yonggui Wang,et al.  Alliance Formation in the Midst of Market and Network: Insights From Resource Dependence and Network Perspectives , 2018 .

[4]  Naiding Yang,et al.  Ego-network stability and exploratory innovation: the moderating role of knowledge networks , 2020, Management Decision.

[5]  A. Hillman,et al.  Resource Dependence Theory: A Review , 2009 .

[6]  R. Gulati Social Structure and Alliance Formation Patterns: A Longitudinal Analysis , 1995 .

[7]  W. Qualls,et al.  Interfirm alliance configuration as a strategy to reduce shareholder risks , 2016 .

[8]  Rafael A. Corredoira,et al.  Adaptation, bridging and firm upgrading: How non-market institutions and MNCs facilitate knowledge recombination in emerging markets , 2014 .

[9]  Zhengang Zhang,et al.  Knowledge structure, network structure, exploitative and exploratory innovations , 2020, Technol. Anal. Strateg. Manag..

[10]  I. Qureshi,et al.  Valuation effects of alliance portfolio expansion speed and strength: Evidence from high-tech firms , 2020 .

[11]  Ken G. Smith,et al.  Existing Knowledge, Knowledge Creation Capability, and the Rate of New Product Introduction in High-Technology Firms , 2005 .

[12]  R. Grant Toward a Knowledge-Based Theory of the Firm,” Strategic Management Journal (17), pp. , 1996 .

[13]  Sigvald Harryson,et al.  Transformation Networks in Innovation Alliances the Development of Volvo C70 , 2008 .

[14]  M. Dowling,et al.  Using R&D cooperative arrangements to leverage managerial experience: A study of technology-intensive new ventures , 1994 .

[15]  Caroline S. Wagner,et al.  International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination , 2018, Research Policy.

[16]  Dries Faems,et al.  Alliance Concentration in Multinational Companies: Examining Alliance Portfolios, Firm Structure, and Firm Performance , 2017 .

[17]  J. Kim,et al.  How collaboration networks affect innovation in Korea’s information and communication technology industry in the era of Internet of Things , 2016 .

[18]  J. P. Eggers,et al.  All experience is not created equal: learning, adapting, and focusing in product portfolio management , 2012 .

[19]  Pierre Dussauge,et al.  Network resource stocks and flows: how do alliance portfolios affect the value of new alliance formations? , 2012 .

[20]  L. Nesta,et al.  Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies , 2014 .

[21]  Gianluca Carnabuci,et al.  Where do firms' recombinant capabilities come from? Intraorganizational networks, knowledge, and firms' ability to innovate through technological recombination , 2013 .

[22]  Antonio Capaldo Network Structure and Innovation: The Leveraging of a Dual Network as a Distinctive Relational Capability , 2006 .

[23]  Pierre Dussauge,et al.  Value Creation in Alliance Portfolios: The Benefits and Costs of Network Resource Interdependencies , 2011 .

[24]  Karin Hoisl,et al.  Knowledge Recombination Across Technological Boundaries: Scientists vs. Engineers , 2013, Manag. Sci..

[25]  Marko Grünhagen,et al.  Technological opportunism effects on IT adoption, intra-firm diffusion and performance: Evidence from the U.S. and Spain , 2014 .

[26]  Jianfeng Wu,et al.  When Unconnected Others Connect: Does Degree of Brokerage Persist After the Formation of a Multipartner Alliance? , 2012, Organ. Sci..

[27]  N. Pangarkar,et al.  Too much of a good thing? Alliance portfolio size and alliance expansion , 2017 .

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

[29]  P. Klarner,et al.  Move to the beat—Rhythms of change and firm performance. , 2013 .

[30]  G. Cecere,et al.  Innovation, Recombination and Technological Proximity , 2014, Journal of the Knowledge Economy.

[31]  Eelko Huizingh,et al.  Tensions in R&D networks: Implications for knowledge search and integration , 2017 .

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

[33]  Toby E. Stuart Interorganizational alliances and the performance of firms: A study of growth and innovation rates i , 2000 .

[34]  Evan Rawley,et al.  Diversification, Coordination Costs and Organizational Rigidity: Evidence from Microdata , 2010 .

[35]  Geert Duysters,et al.  *Alliance Capability as a Mediator between Experience and Alliance Performance: An Empirical Investigation into the Alliance Capability Development Process , 2005 .

[36]  Innovation networks, collective learning, and industrial policy in regions of Europe , 1999 .

[37]  J. C. Goodale,et al.  Strategic Flexibility in New High‐Technology Ventures , 2018 .

[38]  A. Tiwana,et al.  Does peripheral knowledge complement control? An empirical test in technology outsourcing alliances , 2007 .

[39]  Yan Yan,et al.  A dynamic perspective on diversities and network change: partner entry, exit and persistence , 2017, Int. J. Technol. Manag..

[40]  Cheng-Yu Lee,et al.  The Double-Edged Sword of Technological Diversity in R&D Alliances: Network Position and Learning Speed as Moderators , 2015 .

[41]  Lori Rosenkopf,et al.  Investigating the Microstructure of Network Evolution: Alliance Formation in the Mobile Communications Industry , 2008, Organ. Sci..

[42]  A. Teixeira,et al.  International Regional Patterns of R&D Networks Involving Low Tech SMEs , 2013 .

[43]  Aseem Kaul,et al.  Structural Recombination and Innovation: Unlocking Intraorganizational Knowledge Synergy through Structural Change , 2015, Organ. Sci..

[44]  Gerard George,et al.  Knowledge Recombination and Inventor Networks: The Asymmetric Effects of Embeddedness on Knowledge Reuse and Impact , 2020, Journal of Management.

[45]  Barak S. Aharonson,et al.  When does tapping external sources of knowledge result in knowledge integration , 2013 .

[46]  Minyuan Zhao,et al.  Local R&D Strategies and Multilocation Firms: The Role of Internal Linkages , 2012, Manag. Sci..

[47]  Krister Salamonsen,et al.  Small Businesses Need Strong Mediators: Mitigating the Disadvantages of Peripheral Localization Through Alliance Formation , 2015 .

[48]  W. Qualls,et al.  To explore or exploit: The influence of inter-firm R&D network diversity and structural holes on innovation outcomes , 2020, Technovation.

[49]  M. Tushman,et al.  Resource recombinations in the firm: knowledge structures and the potential for schumpeterian innovation , 1998 .

[50]  V. Parida,et al.  Interactive Effects of Network Capability, ICT Capability, and Financial Slack on Technology‐Based Small Firm Innovation Performance , 2015 .

[51]  R. Gulati Network location and learning: the influence of network resources and firm capabilities on alliance formation , 1999 .

[52]  Victor Gilsing,et al.  The two faces of inventions: The relationship between recombination and impact in pharmaceutical biotechnology , 2016 .

[53]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[54]  So Young Sohn,et al.  Effects of standardization on the evolution of information and communications technology , 2018, Technological Forecasting and Social Change.

[55]  R. Handfield,et al.  Change Is Good, But Not Too Much: Dynamic Positioning in the Interfirm Network and New Product Development , 2018 .

[56]  Keld Laursen,et al.  Knowledge diversity and coordination: The effect of intrafirm inventor task networks on absorption speed , 2018, Strategic Management Journal.

[57]  Albert A. Cannella,et al.  Changing the Exchange , 2016 .

[58]  J. H. Dyer Effective interim collaboration: how firms minimize transaction costs and maximise transaction value , 1997 .

[59]  Akbar Zaheer,et al.  The Embeddedness of Networks: Institutions, Structural Holes, and Innovativeness in the Fuel Cell Industry , 2013, Organ. Sci..

[60]  Constance E. Helfat,et al.  Evolutionary trajectories in petroleum firm R&D , 1994 .

[61]  D. Krackhardt,et al.  The impact of network embeddedness on research output , 2013 .

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

[63]  Wonseok Oh,et al.  Membership Herding and Network Stability in the Open Source Community: The Ising Perspective , 2007, Manag. Sci..

[64]  Laura B. Cardinal,et al.  A Longitudinal Study of the Impact of R&D, Patents, and Product Innovation on Firm Performance , 2010 .

[65]  Jiancheng Guan,et al.  Recombinant distance, network governance and recombinant innovation , 2019, Technological Forecasting and Social Change.

[66]  M. Kafouros,et al.  The Performance Implications of Speed, Regularity, and Duration in Alliance Portfolio Expansion , 2015 .

[67]  Bijaya Ketan Panigrahi,et al.  International Journal of Emerging Electric Power Systems Rolling Window Based Dynamic Transmission Network Expansion Planning , 2011 .

[68]  David L. Deeds,et al.  Alliance type, alliance experience and alliance management capability in high-technology ventures , 2004 .

[69]  H. Su,et al.  Knowledge recombination and technological innovation: the important role of cross-disciplinary knowledge , 2018, Innovation.

[70]  G. George,et al.  Entry into Insular Domains: A Longitudinal Study of Knowledge Structuration and Innovation in Biotechnology Firms , 2008 .

[71]  G. Ahuja The duality of collaboration : Inducements and opportunities in the formation of interfirm linkages , 2000 .

[72]  Yannis Caloghirou,et al.  Cooperative R&D as a means for knowledge creation. Experience from European publicly funded partnerships , 2004, Int. J. Technol. Manag..

[73]  Nadine Roijakkers,et al.  From birth through transition to maturation : the evolution of technology-based alliance networks , 2016 .

[74]  Naiding Yang,et al.  Multi-dimensional proximity and network stability: the moderating role of network cohesion , 2021, Scientometrics.

[75]  Bing-Sheng Teng,et al.  Governance structure choice in strategic alliances , 2008 .

[76]  Gualtiero Fantoni,et al.  The light and shade of knowledge recombination: Insights from a general-purpose technology , 2017 .

[77]  B. Nielsen An Empirical Investigation of the Drivers of International Strategic Alliance Formation , 2003 .

[78]  Naiding Yang,et al.  The moderating effect of network power on relational risks and knowledge flow in R&D network , 2021, Management Decision.

[79]  J. Schumpeter,et al.  The Theory of Economic Development , 2017 .

[80]  M. Sarkar,et al.  Role of search for domain knowledge and architectural knowledge in alliance partner selection , 2018 .

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

[82]  Julia Brennecke,et al.  The firm’s knowledge network and the transfer of advice among corporate inventors—A multilevel network study , 2017 .

[83]  John E. Prescott,et al.  The Evolution of Interfirm Networks: Environmental Effects on Patterns of Network Change , 2006 .

[84]  Gillian Symon,et al.  Information and communication technologies and the network organization: A critical analysis , 2000 .

[85]  M. Hitt,et al.  Partner Selection in Emerging and Developed Market Contexts: Resource-Based and Organizational Learning Perspectives , 2000 .

[86]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[87]  P. Bierly,et al.  Generic knowledge strategies in the U.S. pharmaceutical industry , 1996 .

[88]  Hongzhi Gao,et al.  Network gatekeeping in SME exporters’ market entry in China , 2016 .

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

[90]  Fredrik Hacklin,et al.  Coevolutionary cycles of convergence: An extrapolation from the ICT industry , 2009 .

[91]  Akbar Zaheer,et al.  Network Memory: The Influence of Past and Current Networks on Performance , 2004 .

[92]  B. Kogut,et al.  Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology , 1992 .

[93]  V. Albino,et al.  Search and Recombination Process to Innovate: A Review of the Empirical Evidence and a Research Agenda , 2017 .

[94]  Annefleur R. Krijkamp,et al.  An ace in the hole: The effects of (in)accurately observed structural holes on organizational reputation positions in whole networks , 2019 .

[95]  J. Pfeffer,et al.  A social information processing approach to job attitudes and task design. , 1978, Administrative science quarterly.

[96]  Douglas J. Miller Technological diversity, related diversification, and firm performance , 2006 .

[97]  Andrew V. Shipilov,et al.  Firm Scope Experience, Historic Multimarket Contact with Partners, Centrality and the Relationship between Structural Holes and Performance , 2009, Organ. Sci..

[98]  A. Zaheer,et al.  Ego-Network Stability and Innovation in Alliances , 2019, Academy of Management Journal.

[99]  J. March Exploration and exploitation in organizational learning , 1991, STUDI ORGANIZZATIVI.

[100]  Andrew C. Inkpen,et al.  Social Capital, Networks, and Knowledge Transfer , 2005 .

[101]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[102]  Ray Reagans,et al.  Network Structure and Knowledge Transfer: The Effects of Cohesion and Range , 2003 .

[103]  F. Rothaermel,et al.  Organizing for knowledge generation: internal knowledge networks and the contingent effect of external knowledge sourcing , 2017 .

[104]  Geoffrey G. Bell,et al.  Benefiting from network position: firm capabilities, structural holes, and performance , 2005 .

[105]  Wei-Ru Chen,et al.  Changes in firm knowledge couplings and firm innovation performance: : The moderating role of technological complexity , 2015 .

[106]  Danny T. Wang,et al.  The effects of distributor relationship commitment and relationship exploration on opportunism: The moderating roles of exchange uncertainties and network factors , 2019, Industrial Marketing Management.

[107]  Kim B. Clark,et al.  Architectural Innovation: The Reconfiguration of Existing Product Technologies and the Failure of , 1990 .

[108]  Martin Kilduff,et al.  A Paradigm Too Far? A Dynamic Stability Reconsideration of the Social Network Research Program , 2006 .

[109]  Phillip H. Phan,et al.  Internal capabilities, external structural holes network positions, and knowledge creation , 2016 .

[110]  Nathan D. Cahill,et al.  Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density , 2018, Social Network Analysis and Mining.

[111]  M. Becerra,et al.  Interlocks and firm performance: The role of uncertainty in the directorate interlock‐performance relationship , 2015 .

[112]  Samina Karim,et al.  Structural Knowledge: How Executive Experience with Structural Composition Affects Intrafirm Mobility and Unit Reconfiguration , 2012 .

[113]  Lee Fleming,et al.  Special Issue on Design and Development: Recombinant Uncertainty in Technological Search , 2001, Manag. Sci..

[114]  Sali Li,et al.  Experience base, strategy‐by‐doing and new product performance , 2020, Strategic Management Journal.

[115]  Giuseppe Soda,et al.  Harvesting Value from Brokerage: Individual Strategic Orientation, Structural Holes, and Performance , 2017, Academy of Management Journal.