How internal and external factors influence the dynamics of SME technology collaboration networks over time

Abstract This paper presents a framework to assess the effects of technology collaboration networks (TCNs) on the innovation performance of small and medium-sized enterprises (SME). It includes three factors that affect firm dynamics and could influence the success of the TCN: the macroeconomic cycle (macro-level), the industry life cycle (industry-level) and the age of the firm (firm-level). Previous papers have focused on factors at one specific level, mainly the firm level, but have not looked at these all together and have also failed to take into account how they evolve gradually over time. This study closes this gap using a panel of 44,885 observations for SMEs for the period 2003–2013. The findings confirm the importance of the inclusion of these factors at the macroeconomic, industry and firm level since they influence the TCN and the innovation performance relationship. The implications for managers and policy makers are discussed.

[1]  Shantanu Dutta,et al.  Benefiting From Alliance Portfolio Diversity , 2014 .

[2]  Anoop Madhok,et al.  Agglomeration and Clustering Over the Industry Life Cycle: Toward a Dynamic Model of Geographic Concentration , 2013 .

[3]  Bart Nooteboom,et al.  Network Embeddedness and the Exploration of Novel Technologies: Technological Distance, Betweenness Centrality and Density , 2006 .

[4]  Reinhilde Veugelers,et al.  In Search of Complementarity in Innovation Strategy: Internal R&D and External Knowledge Acquisition , 2006, Manag. Sci..

[5]  Shaker A. Zahra,et al.  Governance of the Entrepreneurial Threshold Firm: A Knowledge-based Perspective , 2004 .

[6]  Wolfgang Becker,et al.  R&D cooperation and innovation activities of firms—evidence for the German manufacturing industry , 2004 .

[7]  J. A. Carrillo-Castrillo,et al.  Success variables in science and technology parks , 2016 .

[8]  Akbar Zaheer,et al.  Geography, Networks, and Knowledge Flow , 2007, Organ. Sci..

[9]  Steven Klepper,et al.  The Evolution of New Industries and the Determinants of Market Structure , 1990 .

[10]  D. Audretsch An empirical test of the industry life cycle , 1987 .

[11]  Brian T. McCann,et al.  Performance differentials within geographic clusters , 2011 .

[12]  T. Simpson,et al.  New Product Development Practices and Early-Stage Firms: Two In-Depth Case Studies , 2012 .

[13]  Alok K. Chakrabarti,et al.  The Dynamics of Innovation , 1999 .

[14]  D. Teece,et al.  DYNAMIC CAPABILITIES AND STRATEGIC MANAGEMENT , 1997 .

[15]  Geert Duysters,et al.  Returns to alliance portfolio diversity : The relative effects of partner diversity on firm’s innovative performance and productivity , 2014 .

[16]  A. Stinchcombe Social Structure and Organizations , 2000, Political Organizations.

[17]  Howard E. Aldrich,et al.  Even Dwarfs Started Small: Liabilities of Age and Size and Their Strategic Implications , 1986 .

[18]  J. Brüderl,et al.  Organizational Mortality: The Liabilities of Newness and Adolescence. , 1990 .

[19]  Maryann P. Feldman,et al.  Innovative clusters and the industry life cycle , 1995 .

[20]  Devi R. Gnyawali,et al.  Co‐opetition and Technological Innovation in Small and Medium‐Sized Enterprises: A Multilevel Conceptual Model , 2009 .

[21]  Bernd Ebersberger,et al.  The relationship between international innovation collaboration, intramural R&D and SMEs’ innovation performance: a quantile regression approach , 2013 .

[22]  G. Carroll,et al.  The Liability of Newness: Age Dependence in Organizational Death Rates , 1983 .

[23]  Bernard Haudeville,et al.  Innovation, collaboration and SMEs internal research capacities , 2002 .

[24]  W. Hulsink,et al.  Networks in Entrepreneurship: The Case of High-technology Firms , 2001 .

[25]  D. Audretsch Agglomeration and the location of innovative activity , 1998 .

[26]  Gary L. Lilien,et al.  Should Firms Spend More on Research and Development and Advertising during Recessions? , 2011 .

[27]  S. Lui,et al.  The impacts of external network and business group on innovation: Do the types of innovation matter? , 2015 .

[28]  Charles C. Snow,et al.  Strategic entrepreneurship, collaborative innovation, and wealth creation , 2007 .

[29]  M. Hannan,et al.  The Population Ecology of Organizations , 1977, American Journal of Sociology.

[30]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions. , 1994 .

[31]  Ekaterina V. Karniouchina,et al.  Extending the firm vs. industry debate: Does industry life cycle stage matter? , 2013 .

[32]  James M. Utterback,et al.  A dynamic model of process and product innovation , 1975 .

[33]  Hanna Hottenrott,et al.  R&D Partnerships and Innovation Performance: Can There Be Too Much of a Good Thing? , 2014 .

[34]  J. Barney Firm Resources and Sustained Competitive Advantage , 1991 .

[35]  Daniele Archibugi,et al.  Innovation in times of crisis: National Systems of Innovation, structure, and demand , 2011 .

[36]  M. Hannan,et al.  Structural Inertia and Organizational Change , 1984 .

[37]  N. Fukugawa Knowledge spillover from university research before the national innovation system reform in Japan: localisation, mechanisms, and intermediaries , 2016 .

[38]  Da Chang Pai,et al.  The impact of trust on the relationship between inter-organisational collaboration and product innovation performance , 2011, Technol. Anal. Strateg. Manag..

[39]  G. Hamel Competition for competence and interpartner learning within international strategic alliances , 1991 .

[40]  Helena Alves,et al.  Drivers of innovation strategies: Testing the Tidd and Bessant (2009) model , 2015 .

[41]  Isabel Díez-Vial,et al.  Knowledge spillovers in science and technology parks: how can firms benefit most? , 2015 .

[42]  Kuen-Hung Tsai,et al.  Collaborative networks and product innovation performance: Toward a contingency perspective , 2009 .

[43]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[44]  P. Davidsson,et al.  The role of social and human capital among nascent entrepreneurs , 2000 .

[45]  M. Nieto,et al.  The importance of diverse collaborative networks for the novelty of product innovation , 2007 .

[46]  Riitta Katila,et al.  Exploiting technological opportunities: the timing of collaborations , 2003 .

[47]  S. Tavassoli Innovation determinants over industry life cycle , 2015 .

[48]  Geert Duysters,et al.  Collaboration and innovation: a review of the effects of mergers, acquisitions and alliances on innovation , 2005 .

[49]  Ronald S. Tibben-Lembke Life after death: reverse logistics and the product life cycle , 2002 .

[50]  R. Vernon International investment and international trade in the product cycle , 1966 .

[51]  Mark P. Sharfman,et al.  Industry variety and performance , 1993 .

[52]  Jesper B. Sørensen,et al.  Aging, Obsolescence, and Organizational Innovation , 2000 .

[53]  Felicia Fai,et al.  The nature of SME co-operation and innovation: A multi-scalar and multi-dimensional analysis , 2013 .

[54]  M. Polanyi Chapter 7 – The Tacit Dimension , 1997 .

[55]  M. Tushman,et al.  Exploration and Exploitation Within and Across Organizations , 2010 .

[56]  S. Zeng,et al.  Relationship between cooperation networks and innovation performance of SMEs , 2010 .

[57]  Robert J. Bennett,et al.  SME Growth: The Relationship with Business Advice and External Collaboration , 2000 .

[58]  P. McCann,et al.  Innovation, Entrepreneurship, Geography and Growth , 2012 .

[59]  M. Carree,et al.  Inter-temporal patterns of R&D collaboration and innovative performance , 2014, The Journal of Technology Transfer.

[60]  Dean M. Behrens,et al.  Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries , 2000 .

[61]  Nina Rosenbusch,et al.  Is innovation always beneficial? A meta-analysis of the relationship between innovation and performance in SMEs , 2011 .

[62]  Mário Franco,et al.  Interfirm Alliances: A Taxonomy for SMEs , 2015 .

[63]  Chinho Lin,et al.  The alliance innovation performance of R&D alliances—the absorptive capacity perspective , 2012 .

[64]  E. Autio,et al.  SOCIAL CAPITAL, KNOWLEDGE ACQUISITION, AND KNOWLEDGE EXPLOITATION IN YOUNG TECHNOLOGY-BASED FIRMS , 2001 .

[65]  M. Kafouros,et al.  Academic collaborations and firm innovation performance in China: : The role of region-specific institutions , 2015 .

[66]  Hyunbae Chun,et al.  Determinants of R&D cooperation in small and medium-sized enterprises , 2012 .

[67]  Haiyang Li,et al.  The contingent value of marketing strategy innovativeness for product development performance in Chinese new technology ventures , 2006 .

[68]  B. Wernerfelt,et al.  A Resource-Based View of the Firm , 1984 .

[69]  E. Penrose,et al.  Foreign Investment and the Growth of the Firm , 1956 .

[70]  Mark Sanders,et al.  Innovation over the industry life-cycle: Evidence from EU manufacturing , 2013 .

[71]  Hammad Akbar,et al.  Absorptive capacity and performance: The role of customer relationship and technological capabilities in high-tech SMEs , 2015 .

[72]  D. Teece Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy , 1993 .

[73]  M. Carree,et al.  Cooperative R&D and Firm Performance , 2004 .

[74]  Andreas B. Eisingerich,et al.  How can clusters sustain performance? The role of network strength, network openness, and environmental uncertainty , 2010 .

[75]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[76]  Zhiang Lin,et al.  Alliance partners and firm performance: resource complementarity and status association , 2009 .

[77]  Khaleel Malik,et al.  Sourcing external technological knowledge: a decision support framework for firms , 2004, Int. J. Technol. Manag..

[78]  Wenyu Dou,et al.  The effects of firm capabilities on external collaboration and performance: The moderating role of market turbulence , 2015 .

[79]  Itxaso del-Palacio,et al.  Global networks of clusters of innovation: Accelerating the innovation process , 2009 .

[80]  Nobuya Fukugawa,et al.  Determining Factors in Innovation of Small Firm Networks: A case of Cross Industry Groups in Japan , 2006 .

[81]  Alberto López The effect of microaggregation on regression results: an application to Spanish innovation data , 2011 .

[82]  Kyung-Nam Kang,et al.  Influence of government R&D support and inter-firm collaborations on innovation in Korean biotechnology SMEs , 2012 .