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| Knowledge Production and Diverse Interaction: The Operational Logic of Young Talents in Promoting Technological Innovation:An Empirical Analysis Based on Multiple Case Studies |
| Zou Yunjin |
| (School of Public Policy and Management, Tsinghua University, Beijing 100084,China) |
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Abstract Young talents play an increasingly pivotal role in driving technological innovation; thus, how to promote technological innovation led by young talents has become a critical issue in modernization construction with Chinese characteristics. Reviewing the developmental and training journey of China's young talents, the study confirms that the focus has shifted from a mere quantitative increase and single-index evaluation based on research outcomes to talent cultivation oriented by industrial demand, reflecting the continuous evolution of talent development objectives. Similarly, emerging technologies are characterized by multi-modality, large models, and big data. A governance mechanism for technological innovation is gradually taking shape. The importance of knowledge production and diverse interactions among young talents is becoming more evident, offering a fresh perspective and impetus for technological innovation. These young talents, characterized by their flexibility and adaptability, possess keen insight into new technological trends. Their willingness to try new approaches and adopt new technologies, coupled with an open and exploratory attitude, greatly aids innovation. Yet, most existing research focuses on inter-governmental relationships, resource restructuring, and structural transition in technological innovation, overlooking the proactive nature and innovative drive of young talents. #br#To this end, in line with the characteristics of young technological talents in China during this new era, this article delves into the successful experiences of technological innovation. It aims to extract the operational logic embedded therein to offer theoretical support for innovative practices. The study constructs an analytical framework centered on "knowledge production-diverse interaction" from both procedural and subjective perspectives. It further examines various paths of innovation through multiple typical cases in Beijing. The choice of Beijing for multiple case studies has several reasons. Firstly, all cases stem from technological innovations started by young talents who are alumni of top domestic universities,and Beijing is endeavoring to become a hub for elite talents and a global tech innovation center. Secondly, by comparing cases from the same region and field (technology), external variable interferences are minimized. This comparison aims to discern the differences between various models, deepening the typological understanding of knowledge production and diverse interactions. Lastly, the three selected cases each correspond to distinct interaction models. These models cover interactions between enterprises and government, experts and capital, and emphasize the scale, spillover, and competitive effects of knowledge production. In the initial stages of technological innovation, although all three cases were confronted with challenges and real-world constraints, the young talents facilitated knowledge production and interactions, making these cases highly representative and prompting further contemplation on the research question.#br#The results indicate that, firstly, through business-government interaction, scale effects in knowledge production are manifested. This interaction not only enhances governmental support for and understanding of technological innovation but also overcomes the constraints posed by decision-making "black boxes". It further improves the reliability and safety of innovative products. Moreover, the resources and policy support from the government actively encourage the greater participation of young talents in technological innovation. Secondly, the business-expert interaction brings forth the spillover effects of knowledge production, addressing challenges from the system's high complexity and barriers to sustained innovation. This interaction infuses knowledge production with fresh vigor and can foster new ways of thinking, constituting an effective way for technological innovation. Thirdly, the business-capital interaction promotes competitive effects in knowledge production, assisting enterprises in establishing sustainable business models. The involvement of capital provides broader horizons for innovation, along with the necessary resources, thereby driving business innovation.#br#Furthermore, this study centers on unveiling the intrinsic mechanisms through which young talents drive technological innovation. By integrating typical operational mechanisms, the study conducts a comprehensive analysis of the role of young talents throughout the innovation process. This analysis significantly bridges the existing theoretical gap in understanding the logic by which young talents propel technological innovation. As such, the study not only offers a fresh analytical perspective on the inherent patterns of technological innovation,but also serves as valuable reference for better cultivating young talents in both academic research and practical endeavors.#br#
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Received: 19 June 2023
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