Jeong-Dong Lee’s research while affiliated with Seoul National University and other places

The frameworks that explore scientific and technological evolution suggest that discoveries and inventions are intrinsic processes, while the wealth of knowledge accumulated over time enables researchers to make further advancements, echoing Newton's sentiment of "standing on the shoulders of giants." Despite the exponential growth in new scientific and technical knowledge, the consolidation-disruption (D) index suggests a concerning decline in the disruptiveness of papers and patents. "Exaptation" a concept borrowed from biological evolution, is now recognized as a pivotal yet often neglected mechanism in technological evolution. Significant technologies often do not emerge out of thin air but rather result from the application of existing technologies in other domains. For instance, bird feathers initially served as waterproofing and insulation before enabling flight, and microwave ovens originated from radar magnetrons. Exaptation, acknowledged as the catalyst for "innovation beyond intention" signifies a cross-field evolutionary process that is driven by functional shifts in pre-existing knowledge, technology, or artifacts. In this study, we introduce the concept of exaptation value, deliberately excluding serendipity. Our analysis reveals that, despite a declining trend in the disruptiveness of innovation, there is an increasing trend in the application of cross-domain knowledge within the innovation process over time. We also explore the impact of technology exaptation on innovation disruptiveness and discuss how leveraging technology adaptability enhances innovation's disruptive potential.

Technological speciation is a crucial concept for understanding the emergence of new technologies, describing how existing technologies adapt to novel application domains in response to emerging market needs. Prior research has primarily utilized case-centered qualitative approaches. While some quantitative studies have been conducted, they have not fully captured the complexity of technological speciation, with the methodologies used for observation also falling short. This study aims to enhance previous discussions by rigorously validating the process of technological speciation, focusing on Levinthal (1998) through empirical evidence, and uncovering the managerial strategic implications observable in the speciation process of emerging technologies. This study emphasizes products as intermediaries between markets and technologies, developing indicators based on the similarity between antecedent and descendant technologies, considering the path dependency of technology, and applying these to actual product data. It hypothesizes that significant changes at the inception of these indicators mark the beginning of technological speciation. Analysis reveals that new technologies emerge through an adaptive process, systematically addressing needs through trial and error, with shifts in needs serving as the catalyst. This aligns with detailed discussions in existing qualitative studies on the technological speciation process. This study proposes an analytical method for examining technological speciation by exploring the interaction between markets and technologies from an evolutionary perspective, using product data as a mediator. Additionally, the study highlights the importance for companies aiming to enter new markets of accurately identifying new needs, exploring adjacent technologies, and adopting iterative, small-scale productization strategies to navigate the adaptation process effectively.

Occupational mobility is an emergent strategy to cope with technological unemployment by facilitating efficient labor redeployment. However, previous studies analyzing networks show that the boundaries to smooth mobility are constrained by a fragmented structure in the occupation network. In this study, positing that this structure will significantly change due to automation, we propose the skill automation view, which asserts that automation substitutes for skills, not for occupations, and simulate a scenario of skill automation drawing on percolation theory. We sequentially remove skills from the occupation-skill bipartite network and investigate the structural changes in the projected occupation network. The results show that the accumulation of small changes (the emergence of bridges between occupations due to skill automation) triggers significant structural changes in the occupation network. The structural changes accelerate as the components integrate into a new giant component. This result suggests that automation mitigates the bottlenecks to smooth occupational mobility.

The current geopolitical instability has driven global policy frameworks to prioritize economic security. This shift has intensified the debate on technology sovereignty among developed countries, due to concerns over supply chain disruptions and competition for future technologies. However, equating technology sovereignty with techno-nationalism should be avoided. Techno-nationalism can lead to unrealistic goals of domestically possessing all necessary technologies, resulting in protectionism. Given the complex and interconnected nature of technological development, no single country can control all component technologies. This study proposes a concept of collaborative technology sovereignty, promoting openness in technology development and acquisition. Policies should focus on creating systems for sharing technologies with like-minded countries while securing critical technologies. Lessons from existing policies are essential for expanding this collaborative approach and establishing strategies for collaborative technology sovereignty.

This special issue explores the vulnerabilities of national innovation systems (NIS) which were exposed by the COVID-19 pandemic and the subsequent policy responses. New technologies and solutions were needed such as new drugs, medical equipment, and treatments, and new innovative institutions, organizations, and capabilities were needed to respond quickly, develop, and offset the acute demand. While some policy responses were effective, others fell short or were completely absent. The phenomenon provided a unique opportunity to uncover how governments and industry sought to mitigate the negative impacts and to prepare for future crises by building more resilient NIS. The five articles included in this special issue identify some of the vulnerabilities of NIS, suggesting that greater research on the resilience of NIS is needed if we were to weather future crises more effectively. Subsequent policy implications for innovation systems are drawn to address the vulnerabilities highlighted.

In the ever-evolving landscape of technology, product innovation thrives on replacing outdated technologies with groundbreaking ones or through the ingenious recombination of existing technologies. Our study embarks on a revolutionary journey by genetically representing products, extracting their chromosomal data, and constructing a comprehensive phylogenetic network of automobiles. We delve deep into the technological features that shape innovation, pinpointing the ancestral roots of products and mapping out intricate product-family triangles. By leveraging the similarities within these triangles, we introduce a pioneering "Product Disruption Index"-inspired by the CD index (Funk and Owen-Smith, 2017)-to quantify a product's disruptiveness. Our approach is rigorously validated against the scientifically recognized trend of decreasing disruptiveness over time (Park et al., 2023) and through compelling case studies. Our statistical analysis reveals a fascinating insight: disruptive product innovations often stem from minor, yet crucial, modifications.

This study investigates the dynamics of diversity within photovoltaic technology by considering the spatial information of technological change. We introduce a phylogenetic tree methodology using an evolutionary perspective for validation at the level of technology genes and functional modules. Our findings show that the photovoltaic technology phylogenetic tree fully describes the technological and industrial histories of photovoltaics. Furthermore, the results imply that diversity is necessary for the evolutionary mechanism to operate and technology integration is the correct direction to pursue.