Promoting the deep integration of technological innovation and industrial innovation represents a key mechanism for building a modern industrial system and fostering high-quality development.This study constructs an analytical framework from the perspective of multiple institutional logics to examine the integration of technological and industrial innovation.It systematically examines the tensions and coordination mechanisms among scientific,market,and administrative logics across four dimensions:assets,data,talent,and innovation outcomes.Using the Jiangsu Industrial Technology Research Institute as a case study,this research explores how a series of institutional innovations—including the grant-investment combination mechanism,technology manager system,trusted data spaces,and intellectual property empowerment reforms—facilitate a staged transformation from organizational framework establishment and operational model development to institutional consolidation.The findings reveal that multiple institutional logics exhibit a coexistence of conflict and coordination across different stages of innovation activities.The key to integrating technological and industrial innovation lies in establishing tailored institutional arrangements according to the characteristics of institutional logics at different stages,so as to achieve a dynamic balance among multiple logics.This study extends the application boundaries of institutional logic theory within the domain of technological and industrial innovation integration,and offers both theoretical and practical insights into the dynamic coordination mechanisms of multiple institutional logics within innovation systems.
The Fourth Plenary Session of the 20th Central Committee of the Communist Party of China highlighted the need to strengthen national strategic scientific and technological forces and cultivate high-level scientists.Based on career capital theory,this study collects data on National Key Laboratory directors from 2022 to 2024 and applies dynamic qualitative comparative analysis(QCA)to explore how scientists'attributes influence key core technology breakthroughs.The results show that no single factor is sufficient,while three configurations enable high-level breakthroughs:institutionally empowered-authority driven,collaborative ecosystem-knowledge spillover,and potential activation-compensatory transition types.The collaborative ecosystem-knowledge spillover configuration exhibits stronger robustness over time.Further analyses reveal substitution effects between relational capital and career attributes,with structural capital,relational capital,and frontier judgment as key drivers.SHAP analysis confirms nonlinear relationships between scientist characteristics and technological breakthroughs.This study offers implications for scientist selection and national innovation capacity building.
Leveraging internal corporate venturing todevelop new businesses and drive organizational innovation has become a critical strategy for established organizations navigating dynamic environments and intense competition.However,as the entrepreneurial entities,internal corporate ventures often face constraints from their parent companies'managerial controls.The impact of venture planning autonomy on venture performance remains academically contested,with a particular scarcity of systematic research on its underlying mechanisms and boundary conditions.Drawing on organizational control theory,this study examines the influence of venture planning autonomy on venture performance and its impact mechanisms.The empirical analysis results reveal that:(1)Planning autonomy positively affects venture performance;(2)Dual innovation capability(i.e.exploitative and exploratory capabilities)mediates the relationship between planning autonomy and venture performance;(3)Both parent corporate slackresource and the environmental dynamism of the venture's industry positively moderate the relationship between planning autonomy and venture performance.This research provides a new theoretical perspective on the relationship between venture planning autonomy on venture performance.It helps enrich and expand theoretical understanding of the effects of autonomy in the field of internal corporate venturing and offers valuable insights for internal corporate ventures management practices within established organizations.
In recent years,the United States has intensified its technological blockade,posing severe challenges to the innovation and development of Chinese firms.However,amid the escalating China-US technology rivalry,many high-tech firms have managed to overcome foreign technological constraints and achieve breakthroughs in key core technologies.Using Chinese listed high-tech firms from 2016 to 2024 as the research sample,this study employs a staggered difference-in-differences model and draws on the Awareness-Motivation-Capability(AMC)perspective to examine the impact and underlying mechanisms of the Entity List on key core technological innovation among peer firms.The results show that the Entity List generates a significant positive spillover effect on peer firms'key core technological innovation,and this effect remains robust after a series of robustness tests.Further,this study develops a theoretical framework of innovation spillovers induced by the Entity List,revealing that threat perception,dynamic competition,and cooperative empowerment jointly drive peer firms'core technological breakthroughs through an AMC linkage path of"risk awareness-competitive motivation-industry collaboration".Finally,through in-depth case analyses of GigaDevice and Juhua Group,this study further uncovers the complex mechanisms through which the Entity List exerts innovation spillover effects on peer firms.This study extends the research boundary of innovation spillovers from the Entity List and provides theoretical insights and empirical evidence for Chinese high-tech firms seeking to overcome technological blockades and enhance independent innovation capabilities.
China's new energy vehicle,photovoltaic and other industries have secured prominent competitive advantages in the global marketplace.This industrial reality verifies that technological diversity constitutes a vital manifestation of technological progress in emerging industries.Characterized by multi-hierarchical structural attributes and dynamic evolutionary properties,technological diversity exhibits complex evolutionary patterns.From a dynamic evolutionary perspective of technological progress within emerging industries,this paper systematically sorts out,discriminates and deconstructs the theoretical connotations of technological diversity.A multi-layer analytical framework consisting of the internal aggregation layer,technology expansion layer and industrial structure layer is constructed to elaborate three core mechanisms driving technological progress,namely technological recombination,technology spillovers and the evolution of industrial technological structure,which collectively delineate the dynamic operational logic of technological advancement in emerging industries.On this basis,this study establishes a"P-S-I"(Technological Portfolio Diversity-Sector Spillover Diversity-Industrial Technological Diversity)conceptual framework of technological diversity and develops a corresponding multi-hierarchical measurement system.Finally,this paper takes China's crystalline silicon solar cell industry as the research sample to conduct empirical analysis,so as to deconstruct,quantify and interpret its technological progress from a dynamic perspective.
