O Campo Transnacional da Inovação Tecnológica e Estratégias Relacionais de Ação

The purpose of this article is to analyze the influence of new technologies on the relational structure of the automotive field. We are using a Strong Connected Component (SCC) as a proxy for an action field. This is a simulation based on the data extracted from 7,211 tetrahedral patents – which is simultaneously valid with China, US, Europe and Japan. We have adopted a descriptive form of strategic action in a field modeled as a network. From this network we present the data in panels to identify the structural changes of the groups and the nodal metric of the betweenness. We also perform semantic analysis to simulate the pattern of the actors' choices about technological concepts and present the data in panels that identify the pattern of technological choices before and after Google's entry. The relational structures analyzed in this research showed that the formation of hierarchical groups in SCC shows the strategic action of automakers in stabilizing the field of technological innovation. We found evidence of relational action as a way of framing the action of competitors and their choices. We identified a marginal participation of the actors of Information Technology and Communications (ICT), and that the innovation of this field is mainly architectural.

[1]  Hod Lipson,et al.  Networks, dynamics, and modularity. , 2004, Physical review letters.

[2]  Marc Dijk,et al.  Will the momentum of the electric car last? Testing an hypothesis on disruptive innovation , 2016 .

[3]  Neil Fligstein,et al.  Markets as Politics: A Political‐Cultural Approach to Market Institutions , 1996 .

[4]  Beth-Anne Schuelke-Leech.  A model for understanding the orders of magnitude of disruptive technologies , 2017 .

[5]  M. Newman,et al.  Finding community structure in very large networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  S. Boorman,et al.  Social Structure from Multiple Networks. II. Role Structures , 1976, American Journal of Sociology.

[7]  Albert-László Barabási,et al.  Hierarchical organization in complex networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  B. Truffer,et al.  Global Innovation Systems—A conceptual framework for innovation dynamics in transnational contexts , 2017 .

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

[10]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Diego Garlaschelli,et al.  Patterns of link reciprocity in directed networks. , 2004, Physical review letters.

[12]  C. Bail.  The cultural environment: measuring culture with big data , 2014, Theory and Society.

[13]  P. Bourdieu.  Forms of Capital , 2002 .

[14]  Daniel G. Bachrach,et al.  Social Network Ties, Transactive Memory, and Performance in Groups , 2014, Organ. Sci..

[15]  G. Kuipers,et al.  Coping with uncertainty, abundance and strife: decision-making processes of Dutch acquisition editors in the global market for translations , 2013 .

[16]  Jürgen Janger,et al.  Distance to the frontier and the perception of innovation barriers across European countries , 2014 .

[17]  Barry M. Mitnick,et al.  On making meanings: Curators, social assembly, and mashups , 2015 .

[18]  Gerardo Martí.  New Concepts for New Dynamics: Generating Theory for the Study of Religious Innovation and Social Change , 2017 .

[19]  Anita M. M. Liu,et al.  ‘What does this mean’? Sensemaking in the strategic action field of construction , 2017 .

[20]  S. Boorman,et al.  Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions , 1976, American Journal of Sociology.

[21]  B. Lundvall.  Dynamics of Industry and Innovation: Organizations, Networks and Systems National Innovation Systems -analytical Concept and Development Tool National Innovation Systems -analytical Concept and Development Tool National Innovation Systems -analytical Concept and Development Tool , 2022 .

[22]  Ben Shneiderman,et al.  Analyzing Social Media Networks with NodeXL: Insights from a Connected World , 2010 .

[23]  Thomas Magnusson,et al.  Technological discontinuities and the challenge for incumbent firms: Destruction, disruption or creative accumulation? , 2013 .